Literature DB >> 30999275

Evaluation of commonly used ectoderm markers in iPSC trilineage differentiation.

Yu-Lin Kuang1, Antonio Munoz1, Gilbert Nalula1, Katherine E Santostefano2, Valentina Sanghez3, Gabriela Sanchez4, Naohiro Terada2, Aras N Mattis5, Michelina Iacovino3, Carlos Iribarren4, Ronald M Krauss1, Marisa W Medina6.   

Abstract

Patient-derived induced pluripotent stem cells (iPSCs) have become a promising resource for exploring genetics of complex diseases, discovering new drugs, and advancing regenerative medicine. Increasingly, laboratories are creating their own banks of iPSCs derived from diverse donors. However, there are not yet standardized guidelines for qualifying these cell lines, i.e., distinguishing between bona fide human iPSCs, somatic cells, and imperfectly reprogrammed cells. Here, we report the establishment of a panel of 30 iPSCs from CD34+ peripheral blood mononuclear cells, of which 10 were further differentiated in vitro into all three germ layers. We characterized these different cell types with commonly used pluripotent and lineage specific markers, and showed that NES, TUBB3, and OTX2 cannot be reliably used as ectoderm differentiation markers. Our work highlights the importance of marker selection in iPSC authentication, and the need for the field to establish definitive standard assays.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ectoderm marker; Human induced pluripotent stem cell; NESTIN; PAX6; Trilineage differentiation

Year:  2019        PMID: 30999275      PMCID: PMC6570500          DOI: 10.1016/j.scr.2019.101434

Source DB:  PubMed          Journal:  Stem Cell Res        ISSN: 1873-5061            Impact factor:   2.020


Introduction

Patient-derived induced pluripotent stem cells (iPSCs) retain the genetic characteristics of the donor, exhibit self-renewal, and can be cryopreserved and differentiated into disease-relevant tissue types. These capabilities render iPSCs a highly versatile cellular model enabling a wide range of research studies and experimental designs. For examples, these cells may be used for identifying transcriptomic and metabolomic markers of drug efficacy, screening in drug discovery, and advancing regenerative medicine (Avior et al., 2016; Sterneckert et al., 2014). iPSCs are reprogrammed from somatic cells through the ectopic expression of defined transcription factors such as POU5F1 (aka OCT4), SOX2, KLF4, and c-MYC (also known as the Yamanaka factors) (Takahashi and Yamanaka, 2006). Since the process of reprogramming may be incomplete, thus generating heterogeneous cell populations, it is essential to validate the quality of iPSC lines generated, and to distinguish bona fide iPSCs from partially reprogrammed cells (Chan et al., 2009). This interrogation includes confirming expression of pluripotency factors, for example POU5F1 or TRA-1–60, and also displaying the ability to differentiate into the three germ layers: endoderm, mesoderm, and ectoderm (Chan et al., 2009). Demonstration of germ layer differentiation has traditionally been performed through a teratoma assay, in which cells considered to be pluripotent would be injected into an immunocompromised mouse, and tested for their ability to create a teratoma with cells from all three germ layers. However, as this assay is labor intensive, costly and time-consuming, in vitro trilineage differentiation, in which specialized media is used to induce lineage-directed differentiation, has become a highly popular alternative (Buta et al., 2013; Vallier et al., 2009). A wide range of markers has been reported in the literature to be indicative of the three germ layers. Commonly used endoderm markers include SOX17 (Kanai-Azuma et al., 2002), FOXA2 (Burtscher and Lickert, 2009), CXCR4 (D’Amour et al., 2005), and GATA4 (Fujikura et al., 2002). NCAM1 (Evseenko et al., 2010) and TBXT (aka brachyury) (Wilkinson et al., 1990) are often used as mesoderm markers. NES (nestin) (Lendahl et al., 1990) and PAX6 (Zhang et al., 2010) are among the most commonly used markers for ectoderm differentiation. Here we report that several of the ectoderm markers commonly used during validation studies are not specific to ectoderm as there is a high degree of staining in undifferentiated iPSCs derived from CD34+ peripheral blood mononuclear cells (PBMCs). These studies highlight the need for further development of iPSC validation protocols.

Materials and methods

Donors and samples

The iPSCs used to obtain data reported here were generated as part of the Pharmacogenomics of Statin Therapy (POST) Center within the Pharmacogenomics Research Network. Blood samples were drawn from donors recruited at Kaiser Permanente Northern California (Table 1). Written informed consent was obtained from all study subjects, and studies were performed in accordance with all relevant regulatory guidelines. This study was approved by the IRBs at Kaiser Permanente Northern California and the UCSF Benioff Children’s Hospitals.
Table 1

Demographics of blood donors.

n%
Total30100
Gender
 Female1860
 Male1240
Race/Ethnicity
 White2376.7
 Black or African American310
 Asian413.3

PBMC isolation

After 1:1 dilution in Dulbecco’s Phosphate Buffered Saline containing 2% Fetal Bovine Serum (FBS, Omega Scientific, Cat. # FB-02, Lot # 8462) whole blood from each donor was layered over a Ficoll-Pacque gradient (Fisher Scientific, Cat. # 45001750) in SepMate-50 tubes (StemCell Technologies, Cat. # 85460) and centrifuged at 1200 ×g for 20 min. PBMCs were decanted into a separate tube, washed in PBS supplemented with 2% FBS, and centrifuged for an additional 10 min at 500 × g. PBMC were resuspended in RPMI supplemented with 20% FBS and 10% DMSO, and cryopreserved in liquid nitrogen.

iPSC generation

PBMC aliquots were thawed and resuspended in StemSpan SFEM II expansion media (StemCell Technologies, Cat. # 09605) with CD34+ expansion supplement (StemCell Technologies, Cat. # 02691). Cells were seeded into an Ultra-Low Attachment 6-well plate (Corning, Cat. # 3471). After 6 days, the CD34+ cells were counted and up to 1 million cells were reprogrammed using a combination of plasmids purchased from Addgene encoding for POU5F1, and shRNA for TP53 (ID: 27077) SOX2, and KLF4 (ID: 27078), L-MYC, and LIN28(ID: 27080), and EBNA1(ID: 37624) (Okita et al., 2013). Cells were transfected using program U-008 on the Lonza Nucleofector 2B device (Lonza, Cat. # AAB-1001), seeded onto mitomycin C treated SNL feeder cells (Applied StemCel,l Cat. # ASF-1327) in SFEM II media plus CD34+ Expansion supplement, and fed every other day with mTeSR1 (StemCell Technologies, Cat. # 85850) until colony establishment.

iPSC culture

iPSCs were harvested from SNL feeder plates using Magnetic Activated Cell Sorting (MACS) via positive selection for TRA-1–60 surface pluripotency marker (Miltenyi Biotec, Cat. # 130-100-832). iPSCs were seeded at roughly 200,000 cells/well onto 6-well plates coated with Cultrex reduced growth factor basement membrane (Trevigen, Cat. # 3533-001-02). Cells were fed daily with 1.5 mL of mTeSR1 and passaged when approximately 80% confluent using ReLeSR (StemCell Technologies, Cat. # 05872), which leaves behind differentiated cells.

Live cell staining

Alkaline Phosphatase detection was executed using the Alkaline Phosphatase Live Stain kit (Life Technologies, Cat. # A14353) according to manufacturer’s instructions. Cells were visualized using a Keyence BZ-X700 series microscope. SSEA-4 detection was carried out using the StainAlive SSEA-4 mouse anti-human antibody (Reprocell, Cat. # 09–0097). Antibody was diluted 1:200 in mTeSR1 and cells were incubated in antibody containing medium for 30 min in standard culture conditions. The staining medium was removed and the cells washed gently 2 times with mTeSR1. Fresh media was added and the cells were visualized using a Keyence BZ-X700 series microscope.

iPSC characterization

Karyotype analysis was performed by the Cedars Sinai RMI iPSC Core. PluriTest and KaryoStat assays were performed by Thermo Fisher Scientific.

Cellular differentiation assay

Ten iPSC lines underwent in vitro directed differentiation in four independent experiments with 1 to 4 lines in each batch. Cells were seeded onto 12-well plates coated with Cultrex at 400,000 cells/well for both the ectoderm and endoderm conditions and 100,000 cells/well for the mesoderm condition and treated the appropriate differentiation media using the STEMdiff Trilineage Differentiation Kit (StemCell Technologies, Cat. # 05230) according to manufacturer instructions. Differentiated cells were then collected for RNA isolation or fixed with 4% paraformaldehyde for immunostaining.

Immunostaining and flow cytometry analyses

80% confluent cells were detached from the plates into single cell suspension using Accutase (StemCell Technologies, Cat. # 07920). Cells were washed in DPBS, then fixed with 4% paraformaldehyde in PBS and incubated for 15 min. Fixed cells were washed with DPBS, resuspended with DPBS+1%BSA, and stored at 4 °C for up to 7 days prior to analysis. For intracellular markers, fixed cells were treated with Permeabilization Buffer (eBioscience, Cat. # 00-8333-56). Cells were transferred to Falcon 96-well V bottom plates (Fisher Scientific, Cat. # 08772212) for immunostaining. Antibody incubations were performed on ice in the dark for 45 min in 100 ul/well of CAS-Block (Thermo Fisher Scientific, Cat. # 008120) supplemented with 1% BSA and 5% goat serum (plus 0.2% Triton for intracellular markers). Cells were then washed twice with 200 ul/well DPBS (cell surface markers) or Permeabilization Buffer (intracellular markers) before resuspended in 100 ul/well DPBS +1% BSA. Flow cytometry analysis was performed on the BD LSRFortessa with a High Throughput Sampler, with markers quantified in 9000 gated events on average. The antibodies used for detecting iPSC, endoderm, mesoderm, and ectoderm markers, as well as corresponding isotype controls, are listed in Table 2.
Table 2

Antibodies used in the study.

Antigen recognizedCloneFluorochromeIsotypeSupplierCatalog #
POU5F13A2A20PEMouse IgG2bBioLegend653703
POU5F13A2A20AF488Mouse IgG2bBioLegend653705
TRA-1–60TRA-1–60-RPEMouse IgMBioLegend330609
SSEA-1HI98PEMouse IgMBioLegend301905
SOX17P7–969AF647Mouse IgGlBD Biosciences562594
FOXA2N17–280PEMouse IgGlBD Biosciences561589
NCAM1HCD56AF647Mouse IgGlBioLegend318313
NES25/NESTINPEMouse IgGlBD Biosciences561230
NES10C2PEMouse IgGlBioLegend656805
TUBB3TUJ1AF647Mouse IgG2aBD Biosciences560394
OTX2246826AF488Mouse IgG2bR&D SystemsIC1979G
PAX6018–1330AF647Mouse IgG2aBD Biosciences562249
Isotype controlMM-30PEMouse IgMBioLegend401611
Isotype controlMPC-11PEMouse IgG2bBioLegend400313
Isotype controlMOPC-173AF647Mouse IgG2aBD Biosciences558053
Isotype controlM0PC-21AF647Mouse IgGlBD Biosciences557714
Isotype controlM0PC-21PEMouse IgGlBD Biosciences554680
Isotype control133303AF488Mouse IgG2bR&D SystemsIC0041G

qPCR

RNA was isolated via QIAcube (serial number: 50946) and RNeasy Mini Kit protocol “Purification of total RNA from 5 × 106 − 1 × 107 animal cells (with QIAshreddder homogenization)” (Firmware Version FIW-50–001-J_FW_MB.hex and program version FIW-50–002-G_PLC_MB.prs or higher) following manufacturer’s instructions. cDNA was synthesized using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosysystems, Cat. # 4368814) according to manufacturer’s instructions. Quantitative PCR with the Taqman™ primers POU5F1 (Thermofisher, Cat. # 4448892), PAX6 (Thermofisher, Cat. # 4448892), NES (Thermofisher, Cat. # 4448892), TUBB3 (Thermofisher, Cat. # 4448892), and OTX2 (Thermofisher, Cat. # 4448892) was carried out by a liquid handling robotic system and run via Quantstudio 12K Flex (serial number: 285880333).

Statistical analysis

Two-tailed paired t-tests were used to determine statistically significant differences between cell types. Analyses were performed using GraphPad Prism 7.

Results

Generation and validation of blood-derived human iPSCs

The CD34+ PBMC isolated from 30 individuals were nucleofected by episomal vectors expressing POU5F1, SOX2, KLF4, L-MYC, LIN28, EBNA1, and shRNA for TP53 (Okita et al., 2013). This integration-free approach minimizes genetic manipulation of the iPSCs. After emergence of colonies with distinct iPSC morphology (i.e. embryonic stem cell-like compact colonies comprised of cells with large nuclei and well-defined borders (Chan et al., 2009)), TRA-1–60 expressing cells were selected using Magnetic Activated Cell Sorting (MACS) to obtain one iPSC line per donor in a pooled culture (Yang et al., 2015). Compared to clonally derived iPSCs, this method has been shown to be more efficient, potentially better standardized, and less variable than clonal selection. To confirm the identity of the established iPSC lines, colonies were subject to live staining of alkaline phosphatase (AP, Fig. 1A) or SSEA-4 expression (Fig. 1B). In addition, expression of pluripotency markers POU5F1 and TRA-1–60, and the differentiation marker SSEA-1, were quantified by immunostaining and flow cytometry in all 30 iPSC lines. Of the cells within an individual line, 91.3% (range 73.2–96.9%) were positive for POU5F1 expression, 93.3% (range 77.6–98.9%) were positive for TRA-1–60, and 2.7% (range 0.2–4.9%) were positive for SSEA-1 (Fig. 1C and S1). All lines were > 90% positive for POU5F1 and/or TRA-1–60, and < 5% were positive for SSEA-1. Karyotype analyses of three representative lines showed no genetic abnormalities (Fig. 1D). Five iPSC lines (including 3 of the 10 lines underwent in vitro trilineage differentiation) were also tested by PluriTest and KaryoStat, and all of them were found to be pluripotent with no chromosomal aberrations (Fig. S2).
Fig. 1.

Validation of blood-derived human iPSCs. Live stain of representative iPSC colonies showing A) alkaline phosphatase activity, and B) SSEA-4 expression. C) Flow cytometry analysis of pluripotency markers POU5F1 and TRA-1–60, and differentiation marker SSEA-1 in iPSCs (mean ± SD, n = 30). See also Fig. S1 for flow cytometry data on isotype controls. D) Karyotype analysis of three iPSC lines showed normal chromosomal content. See also Fig. S2 for additional characterization of pluripotency marker expression and genomic aberrations.

Validation of iPSCs via in vitro trilineage differentiation

Next, to confirm the pluripotency of the iPSC lines, we performed a trilineage differentiation assay on 10 lines using the STEMdiff Trilineage Differentiation kit. To authenticate generation of each lineage, endoderm differentiated cells were stained for SOX17 and FOXA2, mesoderm cells were stained for NCAM1, and ectoderm cells were stained for NES, with the degree of immunostaining quantified by flow cytometry. Matched iPSCs, from whom the differentiated cells were derived, were also stained for lineage specific markers as negative controls. After differentiation, cellular morphology was dramatically altered from the typical iPSC phenotype, Fig. S3. Importantly, after directed endoderm differentiation, we found evidence of both SOX17 and FOXA2 positive cells in each of the 10 lines tested, with on average46.3% (range 10–75.7%) of cells/line expressing SOX17, and 45.3% (range 14.8–68.9%) of cells/line expressing FOXA2 (Fig. 2A and Fig. S4). On average 84% (range 26.6–99.5%) of cells/line were NCAM1 positive after directed mesoderm differentiation (Fig. 2A and Fig. S4). For both the endoderm and mesoderm markers, we observed little to no staining of the undifferentiated iPSC lines (2.0% positive cells/marker/line on average).
Fig. 2.

Expression of trilineage differentiation markers. A) Matched iPSCs and differentiated endoderm, mesoderm, ectoderm cells were analyzed by immunostaining followed by flow cytometry for expression of markers specific for each germ layer (mean ± SEM, n = 7–10 cell lines). See also Fig. S1 for isotype control data, Fig. S3 for morphological changes after differentiation, Fig. S4 for paired data, and Fig. S5 for independent validation of iPSC NES staining. B) Representative flow cytometry plots showing co-immunostaining of pluripotency marker POU5F1 with each of the four candidate ectoderm markers in undifferentiated iPSCs. See also Fig. S6 for complete dataset. C, D) Expression of pluripotent marker POU5F1 (C) and four candidate ectoderm markers (D) quantified by qPCR in matched iPSCs and ectoderm differentiated cells (mean ± SEM, n = 8). Gene expression is shown as fold change of ectoderm differentiated cells compared to iPSCs, with dotted line indicating fold change of 1. * P < .05, *** P < .001, **** P < .0001, two-tailed paired t-tests.

After directed differentiation into ectoderm, we observed a high degree of NES positive cells (90%, range 62.2–99.2% positive cells/line). However, surprisingly a similar number of NES positive cells were also detected in the undifferentiated iPSCs (96.5%, range 89.6–98.7% positive cells/line). To test the consistency of this result, we repeated the analysis using a second antibody against NES that was derived from a different clone, and found similarly very high levels of NES positive cells/line in both the ectoderm and undifferentiated iPSC lines (Fig. 2A and Fig. S4). Since NES is a commonly used ectoderm marker, we performed a verification study in which an independent lab tested NES expression in an independent iPSC line before and after ectoderm differentiation using several NES antibodies. Again, the undifferentiated iPSC line had > 80% NES positive cells/line, with the degree of staining indistinguishable between the differentiated and undifferentiated cells (Fig. S5). Based on these results, we next sought to test whether other commonly reported ectoderm markers may have similar non-specific staining patterns. Since the ectoderm differentiation medium tested creates neuroectoderm like cells, we assessed TUBB3 (aka TUJ1), OTX2, and PAX6. Similar to our observations with NES, we found high levels of TUBB3 and OTX2 positive cells in iPSC lines before and after differentiation, with no difference in their levels between the iPSC and ectoderm lines (Fig. 2A and Fig. S4). In contrast, while the number of PAX6 positive cells/line was relatively low (12.2%, range 0.7–40.9%) after ectoderm directed differentiation, it was statistically significantly higher than in the undifferentiated iPSC lines (0.1%, range 0–0.9%, p = .03). We confirmed our findings by performing co-immunostaining of the pluripotency marker POU5F1 with either NES, TUBB3, OTX2, or PAX6 in undifferentiated iPSCs. While pluripotent iPSCs (i.e. POU5F1 positive cells) express various levels of NES, TUBB3, and OTX2 protein, we found no detectable PAX6 expression (Fig. 2B and Fig. S6). In the absence of a robust ectoderm-specific marker, to validate that the ectoderm directed differentiation was successful at yielding the expected cell type, we performed qPCR of POU5F1 and the four commonly used ectoderm markers we tested. Transcript levels of pluripotent marker POU5F1 are known to be reduced after ectoderm differentiation (Daily et al., 2017), and as expected, these were reduced by 92 ± 2% (P < .001) (Fig. 2C). Of the four candidate ectoderm markers (NES, TUBB3, OTX2, and PAX6), we found significantly elevated expression levels of OTX2 (11.6 ± 2.6 fold increase, P < .0001) and PAX6 (1143.5 ± 592.5 fold increase, P < .0001) after ectoderm differentiation (Fig. 2D). To ensure that the expression profile was not impacted by the cell type the iPSCs were originated from, we examined our RNAseq data from six fibroblasts-derived and two CD34+ cell-derived iPSC lines and found comparable expression levels of markers selected for self-renewal and ectoderm (Fig. S7).

Discussion

The use of iPSC lines in biomedical research has increased exponentially in recent years. However, as this technology remains under development, the lack of standardized guidelines for validating whether newly established human iPSCs are bona fide lines remains a challenge in the field. For example, while teratoma assays were once considered the gold standard for authenticating new lines, recent studies have called into question whether these time-consuming and expensive as-says are still necessary (Buta et al., 2013). In addition, while traditional iPSC lines were established from fibroblasts derived from skin biopsies, more recently generation of iPSC lines from blood derived cells has grown in popularity due to the ease of primary cell isolation. Here, we report that during authentication of a newly established iPSC repository generated from blood derived cells, we discovered that many of the commonly used markers for ectoderm show high levels of expression in undifferentiated iPSC lines. Using cell lines from 10 donors, we found comparable levels of NES, TUBB3, and OTX2 in iPSCs with and without differentiation. For NES specifically (one of the most commonly reported ectoderm markers), we tested multiple antibodies in multiple cell lines across two independent laboratories, and found similar high degrees of staining in the undifferentiated state. Based on these findings, we conclude that NES, TUBB3 and OTX2 are not ectoderm specific markers. Notably, NES and OTX2 are currently recommended in the STEMDiff Trilineage Differentiation Kit and Human Pluripotent Stem Cell Functional Identification Kit (R&D Systems) as ectoderm markers, respectively. Although we failed to identify a difference in NES transcript levels between undifferentiated iPSCs and differentiated ectoderm cells, Hoffman et al. (2017) previously reported that NES transcript levels are elevated in neural progenitor cells (NPCs) compared to undifferentiated iPSCs, suggesting that NES may be a suitable neuroectoderm marker. Notably, NPCs are at a more differentiated state compared to the ectoderm that we characterized here. Through NES immunocytochemistry of iPSCs and NPCs we found that iPSCs do express detectable level of NES protein, but to a much lower extent than NPCs (Fig. S8). Thus, when using relatively insensitive methods such as immunohistochemistry, this difference in expression levels may be leveraged to enable use of NES expression as a NPC marker. However, flow cytometry is substantially more sensitive and quantitative compared to immunocytochemistry, and in particular, is able to distinguish even low levels of NES signal compared to an IgG incubated control. Based on our findings, investigators should avoid NES as an ectoderm marker when using immunostaining and flow cytometry to access trilineage differentiation efficiency. Furthermore, care is advised if using NES as a neuroectoderm marker. In the case of TUBB3, RNAseq data made available by Daily et al. also shows no evidence of increased transcript levels in ectoderm differentiated cells compared to stem cell lines (Daily et al., 2017). These findings are consistent with our results indicating that while TUBB3 is widely used as a marker for neuronal differentiation, it is not suitable as an ectoderm marker in iPSC trilineage validation studies. Interestingly, we found that while OTX2 transcript levels were significantly upregulated after ectoderm differentiation, the degree of cell surface protein expression in the undifferentiated iPSCs rendered this protein non-useful as an ectoderm marker. Thus, validation of new markers at the protein level must be tested irrespective of whether differences are observed at the mRNA level. Of the markers tested, PAX6 was the only ectoderm marker that showed increased expression in the differentiated versus undifferentiated cells. While the overall percent positive cells/line was relatively low, consistent with the wide range of differentiation capacity reported among iPSCs (Carcamo-Orive et al., 2017; Kajiwara et al., 2012; Kilpinen et al., 2017; Kyttala et al., 2016), it is possible that with further modification to the protocol, such as changing cell seeding density, greater staining could be obtained. In addition, it has been reported that further differentiating the cells from ectoderm to NPCs using SMAD signaling pathway inhibitors increases NES and PAX6 transcript and protein levels (Chambers et al., 2009; Hoffman et al., 2017). A caveat of our study is that we only rigorously tested trilineage differentiation using the STEMdiff Trilineage Differentiation Kit. Thus, it would be of interest to assess whether other commercially available kits and reported protocols yield similar results. In summary, we have shown that NES, TUBB3, and OTX2 cannot be reliably used as ectoderm differentiation markers when flow cytometry is utilized for measurement. These findings also highlight the importance of including relevant negative controls during validation studies. Investigators should be cautious in selecting markers until definitive standard assays for iPSC pluripotency are established.
  23 in total

1.  Efficient differentiation of human embryonic stem cells to definitive endoderm.

Authors:  Kevin A D'Amour; Alan D Agulnick; Susan Eliazer; Olivia G Kelly; Evert Kroon; Emmanuel E Baetge
Journal:  Nat Biotechnol       Date:  2005-10-28       Impact factor: 54.908

2.  Foxa2 regulates polarity and epithelialization in the endoderm germ layer of the mouse embryo.

Authors:  Ingo Burtscher; Heiko Lickert
Journal:  Development       Date:  2009-03       Impact factor: 6.868

3.  Pax6 is a human neuroectoderm cell fate determinant.

Authors:  Xiaoqing Zhang; Cindy T Huang; Jing Chen; Matthew T Pankratz; Jiajie Xi; Jin Li; Ying Yang; Timothy M Lavaute; Xue-Jun Li; Melvin Ayala; Gennadiy I Bondarenko; Zhong-Wei Du; Ying Jin; Thaddeus G Golos; Su-Chun Zhang
Journal:  Cell Stem Cell       Date:  2010-07-02       Impact factor: 24.633

4.  Expression pattern of the mouse T gene and its role in mesoderm formation.

Authors:  D G Wilkinson; S Bhatt; B G Herrmann
Journal:  Nature       Date:  1990-02-15       Impact factor: 49.962

5.  Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors.

Authors:  Kazutoshi Takahashi; Shinya Yamanaka
Journal:  Cell       Date:  2006-08-10       Impact factor: 41.582

6.  An efficient nonviral method to generate integration-free human-induced pluripotent stem cells from cord blood and peripheral blood cells.

Authors:  Keisuke Okita; Tatsuya Yamakawa; Yasuko Matsumura; Yoshiko Sato; Naoki Amano; Akira Watanabe; Naoki Goshima; Shinya Yamanaka
Journal:  Stem Cells       Date:  2013-03       Impact factor: 6.277

7.  Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.

Authors:  Ivan Carcamo-Orive; Gabriel E Hoffman; Paige Cundiff; Noam D Beckmann; Sunita L D'Souza; Joshua W Knowles; Achchhe Patel; Dimitri Papatsenko; Fahim Abbasi; Gerald M Reaven; Sean Whalen; Philip Lee; Mohammad Shahbazi; Marc Y R Henrion; Kuixi Zhu; Sven Wang; Panos Roussos; Eric E Schadt; Gaurav Pandey; Rui Chang; Thomas Quertermous; Ihor Lemischka
Journal:  Cell Stem Cell       Date:  2016-12-22       Impact factor: 25.269

8.  Common genetic variation drives molecular heterogeneity in human iPSCs.

Authors:  Helena Kilpinen; Angela Goncalves; Andreas Leha; Vackar Afzal; Kaur Alasoo; Sofie Ashford; Sendu Bala; Dalila Bensaddek; Francesco Paolo Casale; Oliver J Culley; Petr Danecek; Adam Faulconbridge; Peter W Harrison; Annie Kathuria; Davis McCarthy; Shane A McCarthy; Ruta Meleckyte; Yasin Memari; Nathalie Moens; Filipa Soares; Alice Mann; Ian Streeter; Chukwuma A Agu; Alex Alderton; Rachel Nelson; Sarah Harper; Minal Patel; Alistair White; Sharad R Patel; Laura Clarke; Reena Halai; Christopher M Kirton; Anja Kolb-Kokocinski; Philip Beales; Ewan Birney; Davide Danovi; Angus I Lamond; Willem H Ouwehand; Ludovic Vallier; Fiona M Watt; Richard Durbin; Oliver Stegle; Daniel J Gaffney
Journal:  Nature       Date:  2017-05-10       Impact factor: 49.962

9.  Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives.

Authors:  Kenneth Daily; Shannan J Ho Sui; Lynn M Schriml; Phillip J Dexheimer; Nathan Salomonis; Robin Schroll; Stacy Bush; Mehdi Keddache; Christopher Mayhew; Samad Lotia; Thanneer M Perumal; Kristen Dang; Lorena Pantano; Alexander R Pico; Elke Grassman; Diana Nordling; Winston Hide; Antonis K Hatzopoulos; Punam Malik; Jose A Cancelas; Carolyn Lutzko; Bruce J Aronow; Larsson Omberg
Journal:  Sci Data       Date:  2017-03-28       Impact factor: 6.444

10.  Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling.

Authors:  Stuart M Chambers; Christopher A Fasano; Eirini P Papapetrou; Mark Tomishima; Michel Sadelain; Lorenz Studer
Journal:  Nat Biotechnol       Date:  2009-03-01       Impact factor: 54.908

View more
  5 in total

1.  Colon adenocarcinoma-derived cells that express induced-pluripotent stem cell markers possess stem cell function.

Authors:  Matthew J Munro; Lifeng Peng; Susrutha K Wickremesekera; Swee T Tan
Journal:  PLoS One       Date:  2020-05-19       Impact factor: 3.240

2.  Human iPSC-derived cerebral organoids model features of Leigh syndrome and reveal abnormal corticogenesis.

Authors:  Alejandra I Romero-Morales; Gabriella L Robertson; Anuj Rastogi; Megan L Rasmussen; Hoor Temuri; Gregory Scott McElroy; Ram Prosad Chakrabarty; Lawrence Hsu; Paula M Almonacid; Bryan A Millis; Navdeep S Chandel; Jean-Philippe Cartailler; Vivian Gama
Journal:  Development       Date:  2022-07-06       Impact factor: 6.862

3.  A Comparative Study of Cell Culture Conditions during Conversion from Primed to Naive Human Pluripotent Stem Cells.

Authors:  Irene Romayor; Lara Herrera; Maria Burón; Myriam Martin-Inaraja; Laura Prieto; Jone Etxaniz; Marta Inglés-Ferrándiz; Jose Ramon Pineda; Cristina Eguizabal
Journal:  Biomedicines       Date:  2022-06-09

Review 4.  Tissue-Engineered Models of the Human Brain: State-of-the-Art Analysis and Challenges.

Authors:  Giulia Tarricone; Irene Carmagnola; Valeria Chiono
Journal:  J Funct Biomater       Date:  2022-09-09

5.  Hippo-YAP signaling controls lineage differentiation of mouse embryonic stem cells through modulating the formation of super-enhancers.

Authors:  Xiang Sun; Zhijun Ren; Yixian Cun; Cai Zhao; Xianglin Huang; Jiajian Zhou; Rong Hu; Xiaoxi Su; Lu Ji; Peng Li; King Lun Kingston Mak; Feng Gao; Yi Yang; He Xu; Junjun Ding; Nan Cao; Shuo Li; Wensheng Zhang; Ping Lan; Hao Sun; Jinkai Wang; Ping Yuan
Journal:  Nucleic Acids Res       Date:  2020-07-27       Impact factor: 16.971

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.