From: Subject: Neurosphere Assays: Growth Factors and Hormone Differences in Tumor and Nontumor Studies -- Chaichana et al. 24 (12): 2851 -- Stem Cells Date: Sun, 13 Jan 2008 17:42:06 +0100 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C8560B.9D8F91C0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3198 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C8560B.9D8F91C0 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://stemcells.alphamedpress.org/cgi/content/full/24/12/2851?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&searchid=1&FIRSTINDEX=0&minscore=5000&resourcetype=HWCIT Neurosphere Assays: Growth Factors and Hormone = Differences in Tumor and Nontumor Studies -- Chaichana et al. 24 (12): = 2851 -- Stem Cells
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First = published online=20 August 31, 2006
Stem Cells Vol. 24 No. 12 = December 2006,=20 pp. 2851 -2857
doi:10.1634/stemcells.2006-0399; http://www.stemcells.com/
=A9 = 2006 AlphaMed = Press=20

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TISSUE-SPECIFIC STEM CELLS

Neurosphere Assays: Growth Factors and Hormone Differences in Tumor = and=20 Nontumor Studies

Kaisorn = Chaichana,=20 Grettel Zamora-Berridi, Joaquin=20 Camara-Quintana, Alfredo=20 Qui=F1ones-Hinojosa

Department of Neurosurgery, The Johns Hopkins = University School=20 of Medicine, Baltimore, Maryland, USA

Key Words. Neurosphere assay =95 = Neural stem=20 cells =95 Brain tumor stem cells

Correspondence: Alfredo Qui=F1ones-Hinojosa, M.D., = The Johns=20 Hopkins Hospital, Department of Neurosurgery, Johns Hopkins University, = CRB II,=20 1550 Orleans Street, Room 253, Baltimore, Maryland 21231, USA. = Telephone:=20 410-502-3204; Fax: 410-502-5559; e-mail: aquinon2{at}jhmi.edu

Received June 29, 2006; accepted for=20 publication August 22, 2006.
First published = online in=20 STEM CELLS EXPRESS=20   August 31, 2006.

3D"    ABSTRACT
Top
3D"Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
<= STRONG>The=20 "no new neuron" dogma that the brain is quiescent throughout = adult=20 life has been challenged by the discovery of cells with stem=20 cell-like qualities of self-renewal and multipotency in the=20 subventricular zone of the lateral ventricles and the dentate = gyrus=20 of the hippocampus in adults. This self-renewing capacity = also makes=20 these neural stem cells a possible source of brain tumors, = which was=20 supported by the discovery of self-sustaining brain tumor = stem-like=20 cells in cancers such as glioblastoma multiforme. Neurosphere = assays=20 are the standard for studying these stem-like cells in both = normal=20 and cancer tissues. Despite the importance of these assays, = there is=20 no standardized protocol to allow for a comparison of results = because=20 several studies use different growth factors and hormones at=20 different concentrations. The primary objective of this study = is to=20 review the literature for both nontumor and tumor studies to = assess=20 their respective neurosphere assay components. We found = significant=20 variation in assay components, namely hormones and growth = factors,=20 as well as their respective concentrations. This illustrates = the=20 need for a standardized protocol to allow proper comparison=20 among studies and a better assessment of the effects of = different=20 factors.


3D"    INTRODUCTION
Top
Abstract
3D"Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
T= he=20 dogmatic view of the brain as immutable and incapable of = neurogenesis=20 was first challenged by Altman in the 1960s, [1]=20 and continued with Goldman and Nottebohm in the 1980s [2].=20 Altman identified the presence of new neurons within = restricted=20 areas of the rat brain by using = [3H]thymidine-labeled=20 cells and light microscopy [3].=20 Goldman and Nottebohm further demonstrated telencephalic = neurogenesis=20 in female canaries [2].=20 Since then, several studies have shown that a discrete = population of=20 cells within the subventricular zone (SVZ) of the forebrain = and the=20 dentate gyrus of the hippocampus, neural stem cells (NSCs), = are=20 capable of generating mature cells throughout adult life [4=967].=20

This has led to the discovery of a cell population within brain=20 tumors that displays many key features of NSCs, [8=9611= ]=20 including continuous self-renewal [12= ],=20 extensive migration [13= ],=20 potential for differentiation [12= ,13= ],=20 and many of the same cell surface markers [8,9].=20 The characteristics of these brain tumor stem cells (BTSCs) = may be=20 responsible for the growth and recurrence of certain tumors, = as well=20 as their resistance to therapeutic regimens [14= ].=20 Therefore, BTSCs may represent a new target for cancer = therapy.=20

Advances in stem cell research have created a need for novel=20 experimental techniques to study these cells. Currently, = neurosphere=20 assays remain the standard for identifying stem cell = populations,=20 allowing for isolation and characterization of NSCs (Fig= .=20 1) and, most recently, BTSCs [14= ,15= ].=20 These assays consist of a selective serum-free culture system = that=20 allows NSCs and BTSCs to proliferate and generate multipotent = clones,=20 or neurospheres, while the more differentiated cells die out = [15= ].=20 The components of these culture systems, however, are not = uniform and=20 vary significantly between studies. This review provides a=20 comprehensive summary of the different neurosphere culture = media that=20 have been used to study NSCs and BTSCs, and describes their=20 various components.



View = larger=20 version (54K):
[in=20 this window]
[in a new window]

  		Figure 1. Neurospheres = derived from=20 human subventricular zone.(A): Low-magnification = image from a=20 light microscope demonstrating neurospheres created from=20 differentiated human subventricular zone = astrocytes.(B):=20 Higher magnification image of some of the neurospheres = in(A).=20 The neurosphere assay used to create these neurospheres, = consisted=20 of Dulbecco's modified Eagle's medium/F-12 with fibroblast = growth=20 factor (20 ng/ml) and epidermal growth factor (10 ng/ml), as = well as=20 insulin, progesterone, transferrin, selenium, putrescine, = and=20 glutamine. =

 = ;

3D"    MATERIALS AND=20 METHODS
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
3D"Materials and = Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
T= he PubMed=20 database current to May 2006 was filtered using the search = terms=20 "neurosphere," "assay," "neural stem cells," or "brain tumor = stem=20 cells," and limited to English-language papers. Eleven = non-brain=20 tumor and nine brain tumor neurosphere assay studies were = selected=20 for inclusion into the review for comparison. Studies were = excluded=20 if they cited another study's protocol or did not clearly = state the=20 components of their neurosphere media. The culture media and = cell=20 types were obtained from the methods section of each paper = and=20 tabulated (Tab= les=20 1 and 2=20 for comparison.


View = this=20 table:
[in=20 this window]
[in a new window]

  		Table 1. Studies with = non-brain=20 tumor neurosphere assays =

 = ;


View = this=20 table:
[in=20 this window]
[in a new window]

  		Table 2. Studies with = tumor stem=20 cells and their respective culture media =

 = ;

3D"    RESULTS
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Materials and Methods
3D"Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
<= STRONG>Nontumor=20 Neurosphere Studies
Eleven studies were obtained with = non-brain=20 tumor neurosphere assays from 1992 to 2006 (Tab= le=20 1) [7,=20 8,=20 16= =9624= ].=20 Seven of the studies were derived from rodent brains (six = mice [16= =9618= ,=20 21= =9623= ],=20 one rat [20= ]),=20 and four of the studies were from human brains (one fetal = tissue [19= ],=20 two subependymal zone/SVZ [7,8],=20 one SEZ and hippocampus [24= ]).=20 Nine of these studies used a serum-free medium, which was = Dulbecco's=20 modified Eagle's medium (DMEM) supplemented with F-12 [7,18= ,19= ,21= ]=20 or B27 [19= ],=20 methylcellulose-based medium [8],=20 or an unknown serum-free medium [16= ,17= ,22= ,23= ].=20 Two studies, however, used bovine serum albumin (BSA) [20= ,24= ].=20

The components that were added to the media varied from study = to=20 study. The use of growth factors was not uniform. Five of the = studies=20 used both epidermal growth factor (EGF) and fibroblast growth = factor=20 (FGF) at varying concentrations between 10 and 20 ng/ml [7,8,19= ,22= ,23= ],=20 whereas the remaining studies used only FGF [17= ,20= ]=20 or EGF [16= ,18= ,21= ].=20 One of the studies used EGF, FGF, and platelet-derived growth = factor=20 (PDGF) [22= ].=20 Likewise, the use of hormones was not consistent. Four of the = studies used the hormones progesterone and insulin as part of = their neurosphere assay [18= ,20= ,21= ,23= ].=20 Other components that varied between studies included = antibiotics=20 (two studies [19= ,20= ]),=20 antimycotics (one [19= ]),=20 transferrin (three [18= ,20= ,23= ]),=20 heparin (two [19= ,23= ]),=20 and selenide (three [18= ,20= ,23= ]).=20

Tumor Neurosphere Studies
Nine studies were = obtained with=20 brain tumor neurosphere assays from 1999 to 2006 (Tab= le=20 2). [8=9610= ,=20 12= ,=20 13= ,=20 25= =9628= ]=20 Eight of these studies involved human brain tumors, including = glioblastoma multiforme (GBM), grade II and III astrocytomas, = medulloblastoma, ependymomas, and gangliomas. [8=9610= ,=20 12= ,=20 13= ,=20 26= =9628= ]=20 The remaining study was obtained from a C6 rodent glioma cell = line=20 [25= ].=20 The media varied in each of these studies. Seven of the = studies used=20 serum-free media, which included DMEM supplemented with F-12 = [13= ],=20 neurobasal medium supplemented with N2 [12= ,26= ,28= ],=20 methylcellulose-based medium [8],=20 and an unknown other serum-free medium [9,10= ,27= ].=20 Two of the studies used medium supplemented with BSA [25= ,26= ].=20

As with nontumor neurosphere assays, the components added to = brain=20 tumor neurosphere media were not uniform across the studies. = The=20 studies used different types and concentrations of growth = factors.=20 Seven studies used both EGF and FGF at concentrations between = 10 and=20 50 ng/ml [8=9610= ,=20 12= ,=20 13= ,=20 26= =9628= ],=20 whereas two studies used FGF [25= ,28= ].=20 One study used PDGF [25= ],=20 three studies used leukemia inhibiting factor (LIF) [9,10= ,27= ],=20 and two studies used neural survival factor (NSF) [9,28= ].=20 With regard to hormones, three studies [12= ,25= ,26= ]=20 used progesterone and insulin, whereas the remaining five = studies [8=9610= ,=20 13= ,=20 27= ]=20 did not add any hormones. The other components that varied = among=20 studies included antibiotics (one study [25= ]),=20 transferrin (three studies [12= ,25= ,26= ]),=20 selenide (three studies [12= ,25= ,26= ]),=20 and putrescine (three studies [12= ,25= ,26= ]).=20


3D"    DISCUSSION
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Results
3D"Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
T= he no new=20 neuron doctrine that the brain is quiescent throughout adult = life and=20 devoid of neural stem cells has dominated neuroscience = thinking for=20 centuries. This began to change with Altman's discovery of = new=20 neurons in rats in 1966, [3],=20 and the idea was further questioned with Goldman and = Nottebohm's=20 finding of neurogenesis in canaries in 1983 [2].=20 Studies since then have localized neurogenesis to the SVZ of = the=20 lateral ventricles and the dentate gyrus of the hippocampus = [4=966].=20 These regions consist of mitotically active neural stem cells = and=20 progenitor cells capable of differentiating into astrocytes, = neurons,=20 and oligodendrocytes [17= ].=20 This self-renewing capacity also makes neural stem cells a = possible=20 source of brain tumors, a concept validated by the discovery = of=20 self-sustaining brain tumor stem cells in human GBM by = Ignatova et=20 al. in 2002 [8].=20 This has led to an era in neuroscience research in which = neural stem=20 cells are being studied actively for both their regenerative = capacity=20 and their devastating neoplastic potential.

Neurosphere assays were initially used by Reynolds and Weiss = in=20 1992 to isolate neurospheres from the mouse striatum [29= ],=20 and remain the standard for determining the presence of these = stem-like cells in both tumor and nontumor tissue because = they=20 can determine whether a particular cell has self-renewing and = multipotential capabilities [14= ,15= ].=20 This assay creates conditions in which stem-like cells are = able to=20 continually divide and form multipotent, undifferentiated = clones=20 called neurospheres in vitro [10= ,15= ,27= ,30= ,31= ].=20 These conditions usually include cells being grown in = serum-free=20 medium and on nonadherent plates because unknown serum = factors and=20 adherence both promote differentiation [14= ,29= ].=20 In addition, mitogens including EGF [18= ,23= ,29= ]=20 and/or FGF [17= ,23= ]=20 are also used frequently because they facilitate neural stem = cell=20 proliferation. The neurospheres that form from these = conditions can=20 be serially dissociated and replated to generate additional=20 neurospheres. Multipotent clonal cells within the = neurospheres can=20 further form neurons, astrocytes, and/or oligodendrocytes. = This has=20 been demonstrated with the identification of markers specific = for=20 neurons (TuJ1), astrocytes (glial fibrillary acidic protein), = and=20 oligodendrocytes (Oli4) [17= ].=20 In contrast, non-stem cells lack these features of = self-renewal and=20 multipotency and are theoretically eliminated with serial=20 passages.

Neurosphere assays, despite their utility, also have some = limitations.=20 First, neurosphere assays are an in vitro phenomenon and do = not=20 occur in vivo [10= ,15= ,27= ,30= ,31= ].=20 This phenomenon could theoretically reflect a peculiarity of = the=20 assay itself and result from manipulation of the experimental = environment that does not naturally occur in vivo [15= ].=20 Second, neurospheres are thought to arise from clonal = divisions of a=20 single stem-like cell with self-renewal and multipotential=20 capabilities. However, non-stem cells can also produce = secondary or=20 even tertiary neurospheres [32= ]=20 but, unlike true neurospheres, cannot continue to form=20 neurospheres with continued passaging. Furthermore, = cell-to-cell=20 fusions that occasionally occur between neural stem cells = and/or=20 progenitor cells can confound the assessment of multipotency, = as well=20 as molecular and genetic studies [33= ].=20 Finally, neurosphere assays do not provide an accurate = calculation of=20 stem cell frequency because the majority of cells in the = neurospheres=20 (approximately 97.6% [15= ])=20 are not viable and may not form neurospheres [15= ].=20

Despite the importance of neurosphere assays, there is no = standardized=20 protocol to allow for a comparison of results. Reynolds' and=20 Weiss' original studies used a serum-free medium containing = 20=20 ng/ml of EGF [16= ,29= ],=20 but a review of the literature has shown significant = variation in the=20 components of each assay in both non-brain tumor and brain = tumor=20 studies since this landmark study. Vescovi [14= ]=20 states that the neurosphere approach represents a serum-free = culture=20 system, but this review shows that several of the studies use = serum=20 in their media [20= ,24= =9626].=20 The serum-free studies are also inconsistent because they = each=20 use different serum-free media, ranging from neurobasal = medium [12= ,26= ]=20 to DMEM/F-12 [7,=20 13= ,=20 18= =9621= ]=20 to a methylcellulose-based medium [8].=20 The use of mitogens is further confounding, where studies use = any=20 combination of EGF, FGF, PDGF, LIF, and even NSF. The use of = hormones=20 also varies, where some studies use progesterone and/or = insulin,=20 while other studies use neither. The other additives that are = notably=20 different include antibiotics, antimycotics, transferrin, = selenide,=20 and putrescine. This variability in media components and=20 "micronutrients" is not limited to neurosphere assays but is = also=20 seen in sarcosphere [34= ,35= ],=20 mammosphere [36= ,37= ],=20 and leukemia stem cell assays [38= ,39= ].=20

Each of these components may have different and significant=20 effects on the creation of neurospheres and, most = importantly,=20 on the interpretation of data. NSCs and BTSCs are usually = grown=20 on serum-free medium because serum irreversibly = differentiates=20 stem cells [40= ,41= ].=20 Growth factors also have an effect on these assays. EGF in = mice=20 directly increases proliferation and survival of precursor = cells in=20 the SVZ, and enhances the generation of astrocytes [42= ,43= ].=20 FGF also increases neurogenesis, but additionally protects = neurons=20 against injury-induced degeneration [44= ,45= ].=20 PDGF potentiates FGF's proliferative capacity [46= ],=20 and LIF is required for the long-term replication of=20 EGF-responsive neural stem cells [47= ,48= ].=20 The removal of these mitogens induces differentiation [14= ,49= ].=20 Hormones, like mitogens, also affect neurospheres. Insulin = and=20 insulin-like growth factor (IGF-1) have neurotrophic = properties and=20 increase progenitor cell proliferation [50= ].=20 Progesterone interestingly decreases proliferation in the SVZ = [51= ,52= ].=20 Therefore, the use of mitogens and/or hormones can have = adverse=20 effects on experimental results.

A number of micronutrients are also included in some neurosphere = assays. Selenium, or sodium selenite, has anticancer = properties=20 of an unknown mechanism [53= ].=20 Glutamine is an amino acid that is shuttled between = astrocytes and=20 neurons in a process that couples ammonia metabolism to the = synthesis=20 of glutamate and 3D{gamma}=20-aminobutyric=20 acid (GABA) neurotransmitters [54= ].=20 An adequate supply of glutamate is necessary for glioma = growth and=20 invasion [55= ,56= ].=20 Putrescine is a low molecular weight amine that provides=20 neuroprotection by stabilizing cellular membranes and nuclear = material and is necessary for growth, replication, and = tumorigenesis=20 [57= ].=20 Transferrin is a glycoprotein that provides extracellular = iron=20 storage and transport, but also acts as an extracellular = antioxidant=20 by binding to iron and preventing it from catalyzing = production of=20 free radicals [58= ].=20


3D"    CONCLUSION
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Discussion
3D"Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 border=3D0>Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
T= he=20 discovery of these NSCs and BTSCs opens the door to potential=20 treatments for degenerative diseases such as Parkinson and=20 devastating cancers such as GBM, which has a mean lifespan of = 14.6=20 months after diagnosis [59= ].=20 The best means of assessing these types of stem cells is = through=20 neurosphere assays. To effectively perform these studies and = compare=20 results, however, there must be a standardized protocol = and/or at=20 least a discussion related to this issue when authors compare = their=20 data to other studies to allow proper comparison among = studies and=20 potentially a better assessment of the effects of different = factors.=20 The wide variation in media components used by each group = confounds=20 data interpretation and limits effective sharing of = information in=20 the research community. Progress in this area will help us = move=20 forward in our study of novel therapies for neurological=20 diseases.


3D"    DISCLOSURES
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Conclusion
3D"Disclosures
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/darrow.gif" = width=3D11=20 = border=3D0>References
 
T= he=20 authors indicate no potential conflicts of interest.


3D"    REFERENCES
Top
Abstract
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Introduction
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Materials and Methods
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Results
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Discussion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Conclusion
<= IMG=20 height=3D9 alt=3D" " hspace=3D5=20 src=3D"http://stemcells.alphamedpress.org/icons/toc/uarrow.gif" = width=3D11=20 border=3D0>Disclosures
3D"References
&nb= sp;

  1. Altman J. Autoradiographic study of degenerative and = regenerative=20 proliferation of neuroglia cells with tritiated thymidine. Exp Neurol = Apr=20 1962;5:302=96318.

  2. Goldman SA, Nottebohm F. Neuronal production, migration, = and=20 differentiation in a vocal control nucleus of the adult female canary = brain.=20 Proc Natl Acad Sci U S A=20 1983;80:2390=962394.[Abstract/Free Full Text]

  3. Altman J, Das GD. Autoradiographic and histological = studies of=20 postnatal neurogenesis I. A longitudinal investigation of the = kinetics,=20 migration and transformation of cells incorporating tritiated = thymidine in=20 neonate rats, with special reference to postnatal neurogenesis in some = brain=20 regions. J Comp Neurol 1966;126:337=96389.[CrossRef][Medline]

  4. Luskin MB. Restricted proliferation and migration of = postnatally=20 generated neurons derived from the forebrain subventricular zone. = Neuron=20 1993;11:173=96189.[CrossRef][Medline]

  5. Alvarez-Buylla A, Garcia-Verdugo JM, Mateo AS et al. = Primary=20 neural precursors and intermitotic nuclear migration in the = ventricular zone=20 of adult canaries. J Neurosci 1998;18:1020=961037.[Abstract/Free Full Text]

  6. Reznikov KY. Cell proliferation and cytogenesis in the = mouse=20 hippocampus. Adv Anat Embryol Cell Biol 1991;122:1=9674.[Medline]

  7. Sanai N, Tramontin AD, Quinones-Hinojosa A et al. Unique = astrocyte=20 ribbon in adult human brain contains neural stem cells but lacks chain = migration. Nature 2004;427:740=96744.[CrossRef][Medline]

  8. Ignatova TN, Kukekov VG, Laywell ED et al. Human = cortical glial=20 tumors contain neural stem-like cells expressing astroglial and = neuronal=20 markers in vitro. Glia 2002;39:193=96206.[CrossRef][Medline]

  9. Singh SK, Clarke ID, Terasaki M et al. Identification of = a cancer=20 stem cell in human brain tumors. Cancer Res 2003;63:5821=965828.[Abstract/Free Full Text]

  10. Hemmati HD, Nakano I, Lazareff JA et al. Cancerous stem = cells can=20 arise from pediatric brain tumors. Proc Natl Acad Sci U S A=20 2003;100:15178=9615183.[Abstract/Free Full Text]

  11. Singh SK, Clarke ID, Hide T et al. Cancer stem cells in = nervous=20 system tumors. Oncogene=20 2004;23:7267=967273.[CrossRef][Medline]

  12. Lee J, Kotliarova S, Kotliarov Y et al. Tumor stem = cells derived=20 from glioblastomas cultured in bFGF and EGF more closely mirror the = phenotype=20 and genotype of primary tumors than do serum-cultured cell lines. = Cancer Cell=20 2006;9:391=96403.[CrossRef][Medline]

  13. Galli R, Binda E, Orfanelli U et al. Isolation and=20 characterization of tumorigenic, stem-like neural precursors from = human=20 glioblastoma. Cancer Res 2004;64:7011=967021.[Abstract/Free Full Text]

  14. Vescovi AL, Galli R, Reynolds BA. Brain tumour stem = cells. Nat=20 Rev Cancer 2006;6:425=96436.[CrossRef][Medline]

  15. Reynolds BA, Rietze RL. Neural stem cells and=20 neurospheres=97Re-evaluating the relationship. Nat Methods = 2005;2:333=96336.[CrossRef][Medline]

  16. Reynolds BA, Tetzlaff W, Weiss S. A multipotent = EGF-responsive=20 striatal embryonic progenitor cell produces neurons and astrocytes. J = Neurosci=20 1992;12:4565=964574.[Abstract]

  17. Gritti A, Parati EA, Cova L et al. Multipotential stem = cells from=20 the adult mouse brain proliferate and self-renew in response to basic=20 fibroblast growth factor. J Neurosci 1996;16:1091=961100.[Abstract/Free Full Text]

  18. Reynolds BA, Weiss S. Clonal and population analyses = demonstrate=20 that an EGF-responsive mammalian embryonic CNS precursor is a stem = cell. Dev=20 Biol 1996;175:1=9613.[CrossRef][Medline]

  19. Svendsen CN, ter Borg MG, Armstrong RJ et al. A new = method for=20 the rapid and long term growth of human neural precursor cells. J = Neurosci=20 Methods 1998;85:141=96152.[CrossRef][Medline]

  20. Ben-Hur T, Einstein O, Mizrachi-Kol R et al. = Transplanted=20 multipotential neural precursor cells migrate into the inflamed white = matter=20 in response to experimental autoimmune encephalomyelitis. Glia = 2003;41:73=9680.[CrossRef][Medline]

  21. Doetsch F, Caille I, Lim DA et al. Subventricular zone = astrocytes=20 are neural stem cells in the adult mammalian brain. Cell = 1999;97:703=96716.[CrossRef][Medline]

  22. Einstein O, Grigoriadis N, Mizrachi-Kol R et al. = Transplanted=20 neural precursor cells reduce brain inflammation to attenuate chronic=20 experimental autoimmune encephalomyelitis. Exp Neurol = 2006;198:275=96284.[CrossRef][Medline]

  23. Gritti A, Frolichsthal-Schoeller P, Galli R et al. = Epidermal and=20 fibroblast growth factors behave as mitogenic regulators for a single=20 multipotent stem cell-like population from the subventricular region = of the=20 adult mouse forebrain. J Neurosci 1999;19:3287=963297.[Abstract/Free Full Text]

  24. Kukekov VG, Laywell ED, Suslov O et al. Multipotent=20 stem/progenitor cells with similar properties arise from two = neurogenic=20 regions of adult human brain. Exp Neurol 1999;156:333=96344.[CrossRef][Medline]

  25. Kondo T, Setoguchi T, Taga T et al. Persistence of a = small=20 subpopulation of cancer stem-like cells in the C6 glioma cell line. = Proc Natl=20 Acad Sci U S A 2004;101:781=96786.[Abstract/Free Full Text]

  26. Taylor MD, Poppleton H, Fuller C et al. Radial glia = cells are=20 candidate stem cells of ependymoma. Cancer Cell 2005;8:323=96335.[CrossRef][Medline]

  27. Yuan X, Curtin J, Xiong Y et al. Isolation of cancer = stem cells=20 from adult glioblastoma multiforme. Oncogene 2004;23:9392=969400.[CrossRef][Medline]

  28. Phillips HS, Kharbanda S, Chen R et al. Molecular = subclasses of=20 high-grade glioma predict prognosis, delineate a pattern of disease=20 progression, and resemble stages in neurogenesis. Cancer Cell = 2006;9:157=96173.[CrossRef][Medline]

  29. Reynolds BA, Weiss S. Generation of neurons and = astrocytes from=20 isolated cells of the adult mammalian central nervous system. Science=20 1992;255:1707=961710.[Abstract/Free Full Text]

  30. Doetsch F, Petreanu L, Caille I et al. EGF converts=20 transit-amplifying neurogenic precursors in the adult brain into = multipotent=20 stem cells. Neuron 2002;36:1021=961034.[CrossRef][Medline]

  31. Tunici P, Bissola L, Lualdi E et al. Genetic = alterations and in=20 vivo tumorigenicity of neurospheres derived from an adult = glioblastoma. Mol=20 Cancer 2004;3=9625.

  32. Seaberg RM, van der Kooy D. Adult rodent neurogenic = regions: The=20 ventricular subependyma contains neural stem cells, but the dentate = gyrus=20 contains restricted progenitors. J Neurosci 2002;22:1784=961793.[Abstract/Free Full Text]

  33. Chen KA, Laywell ED, Marshall G et al. Fusion of neural = stem=20 cells in culture. Exp Neurol 2006;198:129=96135.[CrossRef][Medline]

  34. Gibbs CP, Kukekov VG, Reith JD et al. Stem-like cells = in bone=20 sarcomas: implications for tumorigenesis. Neoplasia = 2005;7:967=96976.[CrossRef][Medline]

  35. Miura M, Miura Y, Padilla-Nash HM et al. Accumulated = chromosomal=20 instability in murine bone marrow mesenchymal stem cells leads to = malignant=20 transformation. Stem Cells 2006;24:1095=961103.[Abstract/Free Full Text]

  36. Dontu G, Abdallah WM, Foley JM et al. In vitro = propagation and=20 transcriptional profiling of human mammary stem/progenitor cells. = Genes Dev=20 2003;17:1253=961270.[Abstract/Free Full Text]

  37. Gudjonsson T, Villadsen R, Nielsen HL et al. Isolation, = immortalization, and characterization of a human breast epithelial = cell line=20 with stem cell properties. Genes Dev 2002;16:693=96706.[Abstract/Free Full Text]

  38. Hope KJ, Jin L, Dick JE. Acute myeloid leukemia = originates from a=20 hierarchy of leukemic stem cell classes that differ in self-renewal = capacity.=20 Nat Immunol 2004;5:738=96743.[CrossRef][Medline]

  39. Lapidot T, Grunberger T, Vormoor J et al. = Identification of human=20 juvenile chronic myelogenous leukemia stem cells capable of initiating = the=20 disease in primary and secondary SCID mice. Blood = 1996;88:2655=962664.[Abstract/Free Full Text]

  40. Gage FH, Ray J, Fisher LJ. Isolation, characterization, = and use=20 of stem cells from the CNS. Annu Rev Neurosci 1995;18:159=96192.[CrossRef][Medline]

  41. McKay R. Stem cells in the central nervous system. = Science=20 1997;276:66=9671.[Abstract/Free Full Text]

  42. Craig CG, Tropepe V, Morshead CM et al. In vivo growth = factor=20 expansion of endogenous subependymal neural precursor cell populations = in the=20 adult mouse brain. J Neurosci 1996;16:2649=962658.[Abstract/Free Full Text]

  43. Kuhn HG, Winkler J, Kempermann G et al. Epidermal = growth factor=20 and fibroblast growth factor-2 have different effects on neural = progenitors in=20 the adult rat brain. J Neurosci 1997;17:5820=965829.[Abstract/Free Full Text]

  44. Yoshimura S, Takagi Y, Harada J et al. FGF-2 regulation = of=20 neurogenesis in adult hippocampus after brain injury. Proc Natl Acad = Sci U S A=20 2001;98:5874=965879.[Abstract/Free Full Text]

  45. Yoshimura S, Teramoto T, Whalen MJ et al. FGF-2 = regulates=20 neurogenesis and degeneration in the dentate gyrus after traumatic = brain=20 injury in mice. J Clin Invest 2003;112:1202=961210.[Abstract/Free Full Text]

  46. Erlandsson A, Enarsson M, Forsberg-Nilsson K. Immature = neurons=20 from CNS stem cells proliferate in response to platelet-derived growth = factor.=20 J Neurosci 2001;21:3483=963491.[Abstract/Free Full Text]

  47. Wright LS, Li J, Caldwell MA et al. Gene expression in = human=20 neural stem cells: effects of leukemia inhibitory factor. J Neurochem=20 2003;86:179=96195.[CrossRef][Medline]

  48. Shimazaki T, Shingo T, Weiss S. The ciliary = neurotrophic=20 factor/leukemia inhibitory factor/gp130 receptor complex operates in = the=20 maintenance of mammalian forebrain neural stem cells. J Neurosci=20 2001;21:7642=967653.[Abstract/Free Full Text]

  49. Hermann A, Maisel M, Liebau S et al. Mesodermal cell = types induce=20 neurogenesis from adult human hippocampal progenitor cells. J = Neurochem=20 2006;98:629=96640.[CrossRef][Medline]

  50. Aberg MA, Aberg ND, Hedbacker H et al. Peripheral = infusion of=20 IGF-I selectively induces neurogenesis in the adult rat hippocampus. J = Neurosci 2000;20:2896=962903.[Abstract/Free Full Text]

  51. Giachino C, Galbiati M, Fasolo A et al. Neurogenesis in = the=20 subependymal layer of the adult rat: a role for neuroactive = derivatives of=20 progesterone. Ann N Y Acad Sci 2003;1007:335=96339.[Abstract/Free Full Text]

  52. Giachino C, Galbiati M, Fasolo A et al. Effects of = progesterone=20 derivatives, dihydroprogesterone and tetrahydroprogesterone, on the=20 subependymal layer of the adult rat. J Neurobiol = 2004;58:493=96502.[CrossRef][Medline]

  53. Cao TM, Hua FY, Xu CM et al. Distinct effects of = different=20 concentrations of sodium selenite on apoptosis, cell cycle, and gene=20 expression profile in acute promyeloytic leukemia-derived NB4 cells. = Ann=20 Hematol 2006;85:434=96442.[CrossRef][Medline]

  54. Sonnewald U, Westergaard N, Schousboe A. Glutamate = transport and=20 metabolism in astrocytes. Glia 1997;21:56=9663.3.0.CO;2-#&link_typ= e=3DDOI">[CrossRef][Medline]

  55. Mackenzie B, Erickson JD. Sodium-coupled neutral amino = acid=20 (System N/A) transporters of the SLC38 gene family. Pflugers Arch=20 2004;447:784=96795.[CrossRef][Medline]

  56. Sontheimer H. Malignant gliomas: Perverting glutamate = and ion=20 homeostasis for selective advantage. Trends Neurosci = 2003;26:543=96549.[CrossRef][Medline]

  57. Schipper RG, Penning LC, Verhofstad AA. Involvement of = polyamines=20 in apoptosis. Facts and controversies: Effectors or protectors? Semin = Cancer=20 Biol 2000;10:55=9668.[CrossRef][Medline]

  58. Mimic-Oka J, Savic-Radojevic A, Pljesa-Ercegovac M et = al.=20 Evaluation of oxidative stress after repeated intravenous iron=20 supplementation. Ren Fail=20 2005;27:345=96351.[Medline]

  59. Stupp R, Mason WP, van den Bent MJ et al. Radiotherapy = plus=20 concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med=20 2005;352:987=96996.[Abstract/Free Full Text]




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http://stemcells.alphamedpress.org/css/ac/hw_ac_global.css BODY.ac_page { BACKGROUND-COLOR: #ffffff } DIV.ac_region { FONT-SIZE: 100%; WIDTH: 100%; LINE-HEIGHT: 100% } DIV.ac_region H2 { LINE-HEIGHT: 120% } DIV.ac_region TH.right_bg_form_label { VERTICAL-ALIGN: top; WIDTH: auto; WHITE-SPACE: nowrap; = BACKGROUND-COLOR: #cccccc; TEXT-ALIGN: right } DIV.ac_region .left_top_nowrap { VERTICAL-ALIGN: top; WHITE-SPACE: nowrap; TEXT-ALIGN: left } DIV.ac_region .right_top_nowrap { VERTICAL-ALIGN: top; WHITE-SPACE: nowrap; TEXT-ALIGN: right } DIV.ac_region TABLE.nowrap { WHITE-SPACE: nowrap } DIV.ac_region .hw_ac_subnote { FONT-SIZE: small } DIV.ac_region .error { =09 } DIV.ac_region .hw_ac_error { =09 } DIV.ac_region .admin_contact_information { WIDTH: 600px; WHITE-SPACE: nowrap } DIV.ac_region .contact_pub_for_change { FONT-SIZE: 80%; WHITE-SPACE: nowrap; BACKGROUND-COLOR: #e1e1e1; = TEXT-ALIGN: center } DIV.ac_region .hw_ac_small { FONT-SIZE: 80% } DIV.ac_region .hw_ac_smaller { FONT-SIZE: 80% } DIV.ac_region #hw_ac_activation_form #hw_ac_self_activation { BORDER-RIGHT: #9d9d9d 5px solid; BORDER-TOP: #e0e0e0 5px solid; = BORDER-LEFT: #e0e0e0 5px solid; BORDER-BOTTOM: #9d9d9d 5px solid } DIV.ac_region #hw_ac_activation_form #hw_ac_self_activation TABLE { BORDER-RIGHT: thin solid; BORDER-TOP: thin solid; BORDER-LEFT: thin = solid; BORDER-BOTTOM: thin solid } DIV.ac_region #hw_ac_activation_form #hw_ac_self_activation TABLE TH { TEXT-ALIGN: center } DIV.ac_region #hw_ac_activation_form TABLE TH { BACKGROUND-COLOR: #cccccc; TEXT-ALIGN: right } DIV.ac_region #hw_ac_activation_form TABLE TD { TEXT-ALIGN: left } DIV.ac_region #hw_ac_activation_form .hw_ac_important { COLOR: #a70716 } DIV.ac_region #hw_ac_activation_form TABLE { =09 } DIV.ac_region #hw_ac_activation_form FIELDSET { PADDING-RIGHT: 0px; PADDING-LEFT: 0px; PADDING-BOTTOM: 0px; MARGIN: = 0px; BORDER-TOP-STYLE: none; PADDING-TOP: 0px; BORDER-RIGHT-STYLE: none; = BORDER-LEFT-STYLE: none; BORDER-BOTTOM-STYLE: none } DIV.ac_region #hw_ac_activation_form FIELDSET LEGEND { DISPLAY: none } ------=_NextPart_000_0000_01C8560B.9D8F91C0 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://stemcells.alphamedpress.org/javascript/ajax/xmlhttprequest.js /*=0A= =0A= Cross-Browser XMLHttpRequest v1.2=0A= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=0A= =0A= Emulate Gecko 'XMLHttpRequest()' functionality in IE and Opera. Opera = requires=0A= the Sun Java Runtime Environment .=0A= =0A= by Andrew Gregory=0A= http://www.scss.com.au/family/andrew/webdesign/xmlhttprequest/=0A= =0A= This work is licensed under the Creative Commons Attribution License. To = view a=0A= copy of this license, visit = http://creativecommons.org/licenses/by-sa/2.5/ or=0A= send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, = California=0A= 94305, USA.=0A= =0A= Attribution: Leave my name and web address in this script intact.=0A= =0A= Not Supported in Opera=0A= ----------------------=0A= * user/password authentication=0A= * responseXML data member=0A= =0A= Not Fully Supported in Opera=0A= ----------------------------=0A= * async requests=0A= * abort()=0A= * getAllResponseHeaders(), getAllResponseHeader(header)=0A= =0A= */=0A= // IE support=0A= if (window.ActiveXObject && !window.XMLHttpRequest) {=0A= window.XMLHttpRequest =3D function() {=0A= var msxmls =3D new Array(=0A= 'Msxml2.XMLHTTP.5.0',=0A= 'Msxml2.XMLHTTP.4.0',=0A= 'Msxml2.XMLHTTP.3.0',=0A= 'Msxml2.XMLHTTP',=0A= 'Microsoft.XMLHTTP');=0A= for (var i =3D 0; i < msxmls.length; i++) {=0A= try {=0A= return new ActiveXObject(msxmls[i]);=0A= } catch (e) {=0A= }=0A= }=0A= return null;=0A= };=0A= }=0A= // Gecko support=0A= /* ;-) */=0A= // Opera support=0A= if (window.opera && !window.XMLHttpRequest) {=0A= window.XMLHttpRequest =3D function() {=0A= this.readyState =3D 0; // = 0=3Duninitialized,1=3Dloading,2=3Dloaded,3=3Dinteractive,4=3Dcomplete=0A= this.status =3D 0; // HTTP status codes=0A= this.statusText =3D '';=0A= this._headers =3D [];=0A= this._aborted =3D false;=0A= this._async =3D true;=0A= this._defaultCharset =3D 'ISO-8859-1';=0A= this._getCharset =3D function() {=0A= var charset =3D _defaultCharset;=0A= var contentType =3D = this.getResponseHeader('Content-type').toUpperCase();=0A= val =3D contentType.indexOf('CHARSET=3D');=0A= if (val !=3D -1) {=0A= charset =3D contentType.substring(val);=0A= }=0A= val =3D charset.indexOf(';');=0A= if (val !=3D -1) {=0A= charset =3D charset.substring(0, val);=0A= }=0A= val =3D charset.indexOf(',');=0A= if (val !=3D -1) {=0A= charset =3D charset.substring(0, val);=0A= }=0A= return charset;=0A= };=0A= this.abort =3D function() {=0A= this._aborted =3D true;=0A= };=0A= this.getAllResponseHeaders =3D function() {=0A= return this.getAllResponseHeader('*');=0A= };=0A= this.getAllResponseHeader =3D function(header) {=0A= var ret =3D '';=0A= for (var i =3D 0; i < this._headers.length; i++) {=0A= if (header =3D=3D '*' || this._headers[i].h =3D=3D header) {=0A= ret +=3D this._headers[i].h + ': ' + this._headers[i].v + '\n';=0A= }=0A= }=0A= return ret;=0A= };=0A= this.getResponseHeader =3D function(header) {=0A= var ret =3D getAllResponseHeader(header);=0A= var i =3D ret.indexOf('\n');=0A= if (i !=3D -1) {=0A= ret =3D ret.substring(0, i);=0A= }=0A= return ret;=0A= };=0A= this.setRequestHeader =3D function(header, value) {=0A= this._headers[this._headers.length] =3D {h:header, v:value};=0A= };=0A= this.open =3D function(method, url, async, user, password) {=0A= this.method =3D method;=0A= this.url =3D url;=0A= this._async =3D true;=0A= this._aborted =3D false;=0A= this._headers =3D [];=0A= if (arguments.length >=3D 3) {=0A= this._async =3D async;=0A= }=0A= if (arguments.length > 3) {=0A= opera.postError('XMLHttpRequest.open() - user/password not = supported');=0A= }=0A= this.readyState =3D 1;=0A= if (this.onreadystatechange) {=0A= this.onreadystatechange();=0A= }=0A= };=0A= this.send =3D function(data) {=0A= if (!navigator.javaEnabled()) {=0A= alert("XMLHttpRequest.send() - Java must be installed and = enabled.");=0A= return;=0A= }=0A= if (this._async) {=0A= setTimeout(this._sendasync, 0, this, data);=0A= // this is not really asynchronous and won't execute until the = current=0A= // execution context ends=0A= } else {=0A= this._sendsync(data);=0A= }=0A= }=0A= this._sendasync =3D function(req, data) {=0A= if (!req._aborted) {=0A= req._sendsync(data);=0A= }=0A= };=0A= this._sendsync =3D function(data) {=0A= this.readyState =3D 2;=0A= if (this.onreadystatechange) {=0A= this.onreadystatechange();=0A= }=0A= // open connection=0A= var url =3D new java.net.URL(new = java.net.URL(window.location.href), this.url);=0A= var conn =3D url.openConnection();=0A= for (var i =3D 0; i < this._headers.length; i++) {=0A= conn.setRequestProperty(this._headers[i].h, this._headers[i].v);=0A= }=0A= this._headers =3D [];=0A= if (this.method =3D=3D 'POST') {=0A= // POST data=0A= conn.setDoOutput(true);=0A= var wr =3D new = java.io.OutputStreamWriter(conn.getOutputStream(), this._getCharset());=0A= wr.write(data);=0A= wr.flush();=0A= wr.close();=0A= }=0A= // read response headers=0A= // NOTE: the getHeaderField() methods always return nulls for me :(=0A= var gotContentEncoding =3D false;=0A= var gotContentLength =3D false;=0A= var gotContentType =3D false;=0A= var gotDate =3D false;=0A= var gotExpiration =3D false;=0A= var gotLastModified =3D false;=0A= for (var i =3D 0; ; i++) {=0A= var hdrName =3D conn.getHeaderFieldKey(i);=0A= var hdrValue =3D conn.getHeaderField(i);=0A= if (hdrName =3D=3D null && hdrValue =3D=3D null) {=0A= break;=0A= }=0A= if (hdrName !=3D null) {=0A= this._headers[this._headers.length] =3D {h:hdrName, = v:hdrValue};=0A= switch (hdrName.toLowerCase()) {=0A= case 'content-encoding': gotContentEncoding =3D true; break;=0A= case 'content-length' : gotContentLength =3D true; break;=0A= case 'content-type' : gotContentType =3D true; break;=0A= case 'date' : gotDate =3D true; break;=0A= case 'expires' : gotExpiration =3D true; break;=0A= case 'last-modified' : gotLastModified =3D true; break;=0A= }=0A= }=0A= }=0A= // try to fill in any missing header information=0A= var val;=0A= val =3D conn.getContentEncoding();=0A= if (val !=3D null && !gotContentEncoding) = this._headers[this._headers.length] =3D {h:'Content-encoding', v:val};=0A= val =3D conn.getContentLength();=0A= if (val !=3D -1 && !gotContentLength) = this._headers[this._headers.length] =3D {h:'Content-length', v:val};=0A= val =3D conn.getContentType();=0A= if (val !=3D null && !gotContentType) = this._headers[this._headers.length] =3D {h:'Content-type', v:val};=0A= val =3D conn.getDate();=0A= if (val !=3D 0 && !gotDate) this._headers[this._headers.length] = =3D {h:'Date', v:(new Date(val)).toUTCString()};=0A= val =3D conn.getExpiration();=0A= if (val !=3D 0 && !gotExpiration) = this._headers[this._headers.length] =3D {h:'Expires', v:(new = Date(val)).toUTCString()};=0A= val =3D conn.getLastModified();=0A= if (val !=3D 0 && !gotLastModified) = this._headers[this._headers.length] =3D {h:'Last-modified', v:(new = Date(val)).toUTCString()};=0A= // read response data=0A= var reqdata =3D '';=0A= var stream =3D conn.getInputStream();=0A= if (stream) {=0A= var reader =3D new java.io.BufferedReader(new = java.io.InputStreamReader(stream, this._getCharset()));=0A= var line;=0A= while ((line =3D reader.readLine()) !=3D null) {=0A= if (this.readyState =3D=3D 2) {=0A= this.readyState =3D 3;=0A= if (this.onreadystatechange) {=0A= this.onreadystatechange();=0A= }=0A= }=0A= reqdata +=3D line + '\n';=0A= }=0A= reader.close();=0A= this.status =3D 200;=0A= this.statusText =3D 'OK';=0A= this.responseText =3D reqdata;=0A= this.readyState =3D 4;=0A= if (this.onreadystatechange) {=0A= this.onreadystatechange();=0A= }=0A= if (this.onload) {=0A= this.onload();=0A= }=0A= } else {=0A= // error=0A= this.status =3D 404;=0A= this.statusText =3D 'Not Found';=0A= this.responseText =3D '';=0A= this.readyState =3D 4;=0A= if (this.onreadystatechange) {=0A= this.onreadystatechange();=0A= }=0A= if (this.onerror) {=0A= this.onerror();=0A= }=0A= }=0A= };=0A= };=0A= }=0A= // ActiveXObject emulation=0A= if (!window.ActiveXObject && window.XMLHttpRequest) {=0A= window.ActiveXObject =3D function(type) {=0A= switch (type.toLowerCase()) {=0A= case 'microsoft.xmlhttp':=0A= case 'msxml2.xmlhttp':=0A= case 'msxml2.xmlhttp.3.0':=0A= case 'msxml2.xmlhttp.4.0':=0A= case 'msxml2.xmlhttp.5.0':=0A= return new XMLHttpRequest();=0A= }=0A= return null;=0A= };=0A= }=0A= ------=_NextPart_000_0000_01C8560B.9D8F91C0 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://stemcells.alphamedpress.org/javascript/ajax/utility.js /************************************************************************= *****=0A= * javascript/ajax/utility.js=0A= *=0A= * Utility functions for working with XMLHttpRequest data.=0A= *=0A= * Copyright 2006 Board of Trustees of the Leland Stanford Junior = University.=0A= = *************************************************************************= ***/=0A= =0A= /*=0A= * Copy XML nodes into an HTMLElement. This effectively=0A= * clones XML markup which uses XHTML naming conventions=0A= * into an HTML DOM.=0A= */=0A= function copy_xml_to_html(src, dst) {=0A= if (src.nodeType =3D=3D 1) { /* Node.ELEMENT_NODE */=0A= var e =3D document.createElement(src.nodeName);=0A= for (var i =3D 0; i < src.childNodes.length; i++) {=0A= copy_xml_to_html(src.childNodes[i], e);=0A= }=0A= for (var i =3D 0; i < src.attributes.length; i++) {=0A= var n =3D src.attributes[i].name;=0A= var v =3D unescape_xml_string(src.attributes[i].value); =0A= e.setAttribute(n, v);=0A= if (n =3D=3D "class") {=0A= e.className =3D v;=0A= }=0A= else if (n =3D=3D "style") {=0A= set_css_style(v, e, "");=0A= }=0A= }=0A= dst.appendChild(e);=0A= }=0A= else if (src.nodeType =3D=3D 3) { /* Node.TEXT_NODE */=0A= dst.appendChild(document.createTextNode(src.nodeValue));=0A= }=0A= }=0A= =0A= /* =0A= * It is unclear that this is the right thing to be calling=0A= * from copy_xml_to_html, but it appears that Safari decides=0A= * to convert & to the NCR #, and then encodes that=0A= * NCR to &%26%2338;. So, I'm going to treat the DOM Attr=0A= * value as a plain string, and run our XML string input=0A= * through the decoding routine below.=0A= */=0A= function unescape_xml_string(s) {=0A= return s.replace(/'/g, "'")=0A= .replace(/'/g, "'")=0A= .replace(/"/g, "\"")=0A= .replace(/"/g, "\"")=0A= .replace(/>/g, ">")=0A= .replace(/>/g, ">")=0A= .replace(/</g, "<")=0A= .replace(/</g, "<")=0A= .replace(/&/g, "&")=0A= .replace(/&/g, "&");=0A= }=0A= =0A= /*=0A= * Parse set of CSS rules and apply them to an element.=0A= * This is quite horrifying, but I'm unable to determine=0A= * how else to handle this with IE 6. FireFox and other=0A= * sane browsers let you simply set the style attribute=0A= * or use e.style.setProperty(rule, value, priority),=0A= * IE 6 appears to have neither of these capabilities..=0A= */=0A= function set_css_style(css, e, priority) {=0A= var rules =3D css.split(";");=0A= for (var i =3D 0; i < rules.length; i++) {=0A= var nvpair =3D rules[i].split(":");=0A= if (nvpair.length =3D=3D 2) {=0A= try {=0A= var name =3D nvpair[0]; /* style attribute */=0A= var value =3D nvpair[1]; /* attribute value */=0A= =0A= /*=0A= * For each possible style attribute, set the=0A= * appropriate style property in the element.=0A= */=0A= if (name =3D=3D "background") {=0A= e.style.background =3D value;=0A= }=0A= else if (name =3D=3D "background-attachment") {=0A= e.style.backgroundAttachment =3D value;=0A= }=0A= else if (name =3D=3D "background-color") {=0A= e.style.backgroundColor =3D value;=0A= }=0A= else if (name =3D=3D "background-image") {=0A= e.style.backgroundImage =3D value;=0A= }=0A= else if (name =3D=3D "background-position") {=0A= e.style.backgroundPosition =3D value;=0A= }=0A= else if (name =3D=3D "background-position-x") {=0A= e.style.backgroundPositionX =3D value;=0A= }=0A= else if (name =3D=3D "background-position-y") {=0A= e.style.backgroundPositionY =3D value;=0A= }=0A= else if (name =3D=3D "background-repeat") {=0A= e.style.backgroundRepeat =3D value;=0A= }=0A= else if (name =3D=3D "behavior") {=0A= e.style.behavior =3D value;=0A= }=0A= else if (name =3D=3D "border") {=0A= e.style.border =3D value;=0A= }=0A= else if (name =3D=3D "border-bottom") {=0A= e.style.borderBottom =3D value;=0A= }=0A= else if (name =3D=3D "border-bottom-color") {=0A= e.style.borderBottomColor =3D value;=0A= }=0A= else if (name =3D=3D "border-bottom-style") {=0A= e.style.borderBottomStyle =3D value;=0A= }=0A= else if (name =3D=3D "border-bottom-width") {=0A= e.style.borderBottomWidth =3D value;=0A= }=0A= else if (name =3D=3D "border-collapse") {=0A= e.style.borderCollapse =3D value;=0A= }=0A= else if (name =3D=3D "border-color") {=0A= e.style.borderColor =3D value;=0A= }=0A= else if (name =3D=3D "border-left") {=0A= e.style.borderLeft =3D value;=0A= }=0A= else if (name =3D=3D "border-left-color") {=0A= e.style.borderLeftColor =3D value;=0A= }=0A= else if (name =3D=3D "border-left-style") {=0A= e.style.borderLeftStyle =3D value;=0A= }=0A= else if (name =3D=3D "border-left-width") {=0A= e.style.borderLeftWidth =3D value;=0A= }=0A= else if (name =3D=3D "border-right") {=0A= e.style.borderRight =3D value;=0A= }=0A= else if (name =3D=3D "border-right-color") {=0A= e.style.borderRightColor =3D value;=0A= }=0A= else if (name =3D=3D "border-right-style") {=0A= e.style.borderRightStyle =3D value;=0A= }=0A= else if (name =3D=3D "border-right-width") {=0A= e.style.borderRightWidth =3D value;=0A= }=0A= else if (name =3D=3D "border-style") {=0A= e.style.borderStyle =3D value;=0A= }=0A= else if (name =3D=3D "border-top") {=0A= e.style.borderTop =3D value;=0A= }=0A= else if (name =3D=3D "border-top-color") {=0A= e.style.borderTopColor =3D value;=0A= }=0A= else if (name =3D=3D "border-top-style") {=0A= e.style.borderTopStyle =3D value;=0A= }=0A= else if (name =3D=3D "border-top-width") {=0A= e.style.borderTopWidth =3D value;=0A= }=0A= else if (name =3D=3D "border-width") {=0A= e.style.borderWidth =3D value;=0A= }=0A= else if (name =3D=3D "bottom") {=0A= e.style.bottom =3D value;=0A= }=0A= else if (name =3D=3D "clear") {=0A= e.style.clear =3D value;=0A= }=0A= else if (name =3D=3D "clip") {=0A= e.style.clip =3D value;=0A= }=0A= else if (name =3D=3D "color") {=0A= e.style.color =3D value;=0A= }=0A= else if (name =3D=3D "cssText") {=0A= e.style.Sets =3D value;=0A= }=0A= else if (name =3D=3D "cursor") {=0A= e.style.cursor =3D value;=0A= }=0A= else if (name =3D=3D "direction") {=0A= e.style.direction =3D value;=0A= }=0A= else if (name =3D=3D "display") {=0A= e.style.display =3D value;=0A= }=0A= else if (name =3D=3D "font") {=0A= e.style.font =3D value;=0A= }=0A= else if (name =3D=3D "font-family") {=0A= e.style.fontFamily =3D value;=0A= }=0A= else if (name =3D=3D "font-size") {=0A= e.style.fontSize =3D value;=0A= }=0A= else if (name =3D=3D "font-style") {=0A= e.style.fontStyle =3D value;=0A= }=0A= else if (name =3D=3D "font-variant") {=0A= e.style.fontVariant =3D value;=0A= }=0A= else if (name =3D=3D "font-weight") {=0A= e.style.fontWeight =3D value;=0A= }=0A= else if (name =3D=3D "height") {=0A= e.style.height =3D value;=0A= }=0A= else if (name =3D=3D "ime-mode") {=0A= e.style.imeMode =3D value;=0A= }=0A= else if (name =3D=3D "layout-flow") {=0A= e.style.layoutFlow =3D value;=0A= }=0A= else if (name =3D=3D "layout-grid") {=0A= e.style.layoutGrid =3D value;=0A= }=0A= else if (name =3D=3D "layout-grid-char") {=0A= e.style.layoutGridChar =3D value;=0A= }=0A= else if (name =3D=3D "layout-grid-line") {=0A= e.style.layoutGridLine =3D value;=0A= }=0A= else if (name =3D=3D "layout-grid-mode") {=0A= e.style.layoutGridMode =3D value;=0A= }=0A= else if (name =3D=3D "layout-grid-type") {=0A= e.style.layoutGridType =3D value;=0A= }=0A= else if (name =3D=3D "left") {=0A= e.style.left =3D value;=0A= }=0A= else if (name =3D=3D "letter-spacing") {=0A= e.style.letterSpacing =3D value;=0A= }=0A= else if (name =3D=3D "line-break") {=0A= e.style.lineBreak =3D value;=0A= }=0A= else if (name =3D=3D "line-height") {=0A= e.style.lineHeight =3D value;=0A= }=0A= else if (name =3D=3D "list-style") {=0A= e.style.listStyle =3D value;=0A= }=0A= else if (name =3D=3D "list-style-image") {=0A= e.style.listStyleImage =3D value;=0A= }=0A= else if (name =3D=3D "list-style-position") {=0A= e.style.listStylePosition =3D value;=0A= }=0A= else if (name =3D=3D "list-style-type") {=0A= e.style.listStyleType =3D value;=0A= }=0A= else if (name =3D=3D "margin") {=0A= e.style.margin =3D value;=0A= }=0A= else if (name =3D=3D "margin-bottom") {=0A= e.style.marginBottom =3D value;=0A= }=0A= else if (name =3D=3D "margin-left") {=0A= e.style.marginLeft =3D value;=0A= }=0A= else if (name =3D=3D "margin-right") {=0A= e.style.marginRight =3D value;=0A= }=0A= else if (name =3D=3D "margin-top") {=0A= e.style.marginTop =3D value;=0A= }=0A= else if (name =3D=3D "min-height") {=0A= e.style.minHeight =3D value;=0A= }=0A= else if (name =3D=3D "overflow") {=0A= e.style.overflow =3D value;=0A= }=0A= else if (name =3D=3D "overflow-x") {=0A= e.style.overflowX =3D value;=0A= }=0A= else if (name =3D=3D "overflow-y") {=0A= e.style.overflowY =3D value;=0A= }=0A= else if (name =3D=3D "padding") {=0A= e.style.padding =3D value;=0A= }=0A= else if (name =3D=3D "padding-bottom") {=0A= e.style.paddingBottom =3D value;=0A= }=0A= else if (name =3D=3D "padding-left") {=0A= e.style.paddingLeft =3D value;=0A= }=0A= else if (name =3D=3D "padding-right") {=0A= e.style.paddingRight =3D value;=0A= }=0A= else if (name =3D=3D "padding-top") {=0A= e.style.paddingTop =3D value;=0A= }=0A= else if (name =3D=3D "page-break-after") {=0A= e.style.pageBreakAfter =3D value;=0A= }=0A= else if (name =3D=3D "page-break-before") {=0A= e.style.pageBreakBefore =3D value;=0A= }=0A= else if (name =3D=3D "pixelBottom") {=0A= e.style.pixelBottom =3D value;=0A= }=0A= else if (name =3D=3D "pixelHeight") {=0A= e.style.pixelHeight =3D value;=0A= }=0A= else if (name =3D=3D "pixelLeft") {=0A= e.style.pixelLeft =3D value;=0A= }=0A= else if (name =3D=3D "pixelRight") {=0A= e.style.pixelRight =3D value;=0A= }=0A= else if (name =3D=3D "pixelTop") {=0A= e.style.pixelTop =3D value;=0A= }=0A= else if (name =3D=3D "pixelWidth") {=0A= e.style.pixelWidth =3D value;=0A= }=0A= else if (name =3D=3D "posBottom") {=0A= e.style.posBottom =3D value;=0A= }=0A= else if (name =3D=3D "posHeight") {=0A= e.style.posHeight =3D value;=0A= }=0A= else if (name =3D=3D "position") {=0A= e.style.position =3D value;=0A= }=0A= else if (name =3D=3D "posLeft") {=0A= e.style.posLeft =3D value;=0A= }=0A= else if (name =3D=3D "posRight") {=0A= e.style.posRight =3D value;=0A= }=0A= else if (name =3D=3D "posTop") {=0A= e.style.posTop =3D value;=0A= }=0A= else if (name =3D=3D "posWidth") {=0A= e.style.posWidth =3D value;=0A= }=0A= else if (name =3D=3D "right") {=0A= e.style.right =3D value;=0A= }=0A= else if (name =3D=3D "ruby-align") {=0A= e.style.rubyAlign =3D value;=0A= }=0A= else if (name =3D=3D "ruby-overhang") {=0A= e.style.rubyOverhang =3D value;=0A= }=0A= else if (name =3D=3D "ruby-position") {=0A= e.style.rubyPosition =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-3dlight-color") {=0A= e.style.scrollbar3dLightColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-arrow-color") {=0A= e.style.scrollbarArrowColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-base-color") {=0A= e.style.scrollbarBaseColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-darkshadow-color") {=0A= e.style.scrollbarDarkShadowColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-face-color") {=0A= e.style.scrollbarFaceColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-highlight-color") {=0A= e.style.scrollbarHighlightColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-shadow-color") {=0A= e.style.scrollbarShadowColor =3D value;=0A= }=0A= else if (name =3D=3D "scrollbar-track-color") {=0A= e.style.scrollbarTrackColor =3D value;=0A= }=0A= else if (name =3D=3D "float") {=0A= e.style.styleFloat =3D value;=0A= }=0A= else if (name =3D=3D "table-layout") {=0A= e.style.tableLayout =3D value;=0A= }=0A= else if (name =3D=3D "text-align") {=0A= e.style.textAlign =3D value;=0A= }=0A= else if (name =3D=3D "text-align-last") {=0A= e.style.textAlignLast =3D value;=0A= }=0A= else if (name =3D=3D "text-autospace") {=0A= e.style.textAutospace =3D value;=0A= }=0A= else if (name =3D=3D "text-decoration") {=0A= e.style.textDecoration =3D value;=0A= }=0A= else if (name =3D=3D "textDecorationBlink") {=0A= e.style.textDecorationBlink =3D value;=0A= }=0A= else if (name =3D=3D "textDecorationLineThrough") {=0A= e.style.textDecorationLineThrough =3D value;=0A= }=0A= else if (name =3D=3D "textDecorationNone") {=0A= e.style.textDecorationNone =3D value;=0A= }=0A= else if (name =3D=3D "textDecorationOverline") {=0A= e.style.textDecorationOverline =3D value;=0A= }=0A= else if (name =3D=3D "textDecorationUnderline") {=0A= e.style.textDecorationUnderline =3D value;=0A= }=0A= else if (name =3D=3D "text-indent") {=0A= e.style.textIndent =3D value;=0A= }=0A= else if (name =3D=3D "text-justify") {=0A= e.style.textJustify =3D value;=0A= }=0A= else if (name =3D=3D "text-kashida-space") {=0A= e.style.textKashidaSpace =3D value;=0A= }=0A= else if (name =3D=3D "text-overflow") {=0A= e.style.textOverflow =3D value;=0A= }=0A= else if (name =3D=3D "text-transform") {=0A= e.style.textTransform =3D value;=0A= }=0A= else if (name =3D=3D "text-underline-position") {=0A= e.style.textUnderlinePosition =3D value;=0A= }=0A= else if (name =3D=3D "top") {=0A= e.style.top =3D value;=0A= }=0A= else if (name =3D=3D "unicode-bidi") {=0A= e.style.unicodeBidi =3D value;=0A= }=0A= else if (name =3D=3D "vertical-align") {=0A= e.style.verticalAlign =3D value;=0A= }=0A= else if (name =3D=3D "visibility") {=0A= e.style.visibility =3D value;=0A= }=0A= else if (name =3D=3D "white-space") {=0A= e.style.whiteSpace =3D value;=0A= }=0A= else if (name =3D=3D "width") {=0A= e.style.width =3D value;=0A= }=0A= else if (name =3D=3D "word-break") {=0A= e.style.wordBreak =3D value;=0A= }=0A= else if (name =3D=3D "word-spacing") {=0A= e.style.wordSpacing =3D value;=0A= }=0A= else if (name =3D=3D "word-wrap") {=0A= e.style.wordWrap =3D value;=0A= }=0A= else if (name =3D=3D "writing-mode") {=0A= e.style.writingMode =3D value;=0A= }=0A= else if (name =3D=3D "z-index") {=0A= e.style.zIndex =3D value;=0A= }=0A= else if (name =3D=3D "zoom") {=0A= e.style.zoom =3D value;=0A= }=0A= }=0A= catch (e) {=0A= /* ignore error on attempt to set e.style.[property] */=0A= }=0A= }=0A= }=0A= }=0A= ------=_NextPart_000_0000_01C8560B.9D8F91C0 Content-Type: application/octet-stream Content-Transfer-Encoding: quoted-printable Content-Location: http://stemcells.alphamedpress.org/javascript/entrez/callback.js /************************************************************************= *****=0A= * javascript/entrez/callback.js=0A= *=0A= * Entrez Linking callback to populate content box.=0A= *=0A= * Copyright 2006 Board of Trustees of the Leland Stanford Junior = University.=0A= = *************************************************************************= ***/=0A= =0A= /*=0A= * Execute callback to fill content box with Entrez Linking information.=0A= */=0A= function entrez_callback(pmid, callback_url) {=0A= /*=0A= * MSIE 5.5 and below have issues with the JavaScript=0A= * used for Entrez Linking. For now we have to disable=0A= * the callback until we can track down a proper fix=0A= * (or everybody sanely upgrades to version 6 or 7!).=0A= */=0A= if (navigator) {=0A= var appname =3D navigator.appName;=0A= if (appname =3D=3D "Microsoft Internet Explorer") {=0A= var userAgent =3D navigator["userAgent"];=0A= var s =3D "MSIE ";=0A= var n =3D -1; =0A= if ((n =3D userAgent.indexOf(s)) !=3D -1) {=0A= var v =3D parseFloat(userAgent.substring(n+s.length));=0A= if (v < 6) {=0A= return;=0A= }=0A= }=0A= }=0A= }=0A= =0A= /*=0A= * Acquire table row element to update, initiate callback=0A= * to update table with Entrez Links.=0A= */=0A= var tr =3D document.getElementById('entrez_callback_'+pmid);=0A= if (!tr) {=0A= return;=0A= }=0A= var req =3D new XMLHttpRequest();=0A= if (!req) {=0A= return;=0A= }=0A= req.onreadystatechange =3D function() {=0A= if (req.readyState =3D=3D 4 && (req.status =3D=3D 200 || req.status = =3D=3D 304)) {=0A= var src =3D req.responseXML.documentElement;=0A= var dst =3D document.createDocumentFragment();=0A= for (var i =3D 0; i < src.childNodes.length; i++) {=0A= copy_xml_to_html(src.childNodes[i], dst);=0A= }=0A= var tbl =3D tr.parentNode;=0A= tbl.replaceChild(dst, tr);=0A= }=0A= }=0A= req.open('GET', callback_url, true);=0A= req.send(null);=0A= }=0A= ------=_NextPart_000_0000_01C8560B.9D8F91C0--