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

The use of induced pluripotent stem cells (iPSC) derived from independent patients and sources holds considerable promise to improve the understanding of development and disease. However, optimized use of iPSC depends on our ability to develop methods to efficiently qualify cell lines and protocols,...

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Autores principales: Daily, Kenneth, Ho Sui, Shannan J., Schriml, Lynn M., Dexheimer, Phillip J., Salomonis, Nathan, Schroll, Robin, Bush, Stacy, Keddache, Mehdi, Mayhew, Christopher, Lotia, Samad, Perumal, Thanneer M., Dang, Kristen, Pantano, Lorena, Pico, Alexander R., Grassman, Elke, Nordling, Diana, Hide, Winston, Hatzopoulos, Antonis K., Malik, Punam, Cancelas, Jose A., Lutzko, Carolyn, Aronow, Bruce J., Omberg, Larsson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369318/
https://www.ncbi.nlm.nih.gov/pubmed/28350385
http://dx.doi.org/10.1038/sdata.2017.30
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author Daily, Kenneth
Ho Sui, Shannan J.
Schriml, Lynn M.
Dexheimer, Phillip J.
Salomonis, Nathan
Schroll, Robin
Bush, Stacy
Keddache, Mehdi
Mayhew, Christopher
Lotia, Samad
Perumal, Thanneer M.
Dang, Kristen
Pantano, Lorena
Pico, Alexander R.
Grassman, Elke
Nordling, Diana
Hide, Winston
Hatzopoulos, Antonis K.
Malik, Punam
Cancelas, Jose A.
Lutzko, Carolyn
Aronow, Bruce J.
Omberg, Larsson
author_facet Daily, Kenneth
Ho Sui, Shannan J.
Schriml, Lynn M.
Dexheimer, Phillip J.
Salomonis, Nathan
Schroll, Robin
Bush, Stacy
Keddache, Mehdi
Mayhew, Christopher
Lotia, Samad
Perumal, Thanneer M.
Dang, Kristen
Pantano, Lorena
Pico, Alexander R.
Grassman, Elke
Nordling, Diana
Hide, Winston
Hatzopoulos, Antonis K.
Malik, Punam
Cancelas, Jose A.
Lutzko, Carolyn
Aronow, Bruce J.
Omberg, Larsson
author_sort Daily, Kenneth
collection PubMed
description The use of induced pluripotent stem cells (iPSC) derived from independent patients and sources holds considerable promise to improve the understanding of development and disease. However, optimized use of iPSC depends on our ability to develop methods to efficiently qualify cell lines and protocols, monitor genetic stability, and evaluate self-renewal and differentiation potential. To accomplish these goals, 57 stem cell lines from 10 laboratories were differentiated to 7 different states, resulting in 248 analyzed samples. Cell lines were differentiated and characterized at a central laboratory using standardized cell culture methodologies, protocols, and metadata descriptors. Stem cell and derived differentiated lines were characterized using RNA-seq, miRNA-seq, copy number arrays, DNA methylation arrays, flow cytometry, and molecular histology. All materials, including raw data, metadata, analysis and processing code, and methodological and provenance documentation are publicly available for re-use and interactive exploration at https://www.synapse.org/pcbc. The goal is to provide data that can improve our ability to robustly and reproducibly use human pluripotent stem cells to understand development and disease.
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spelling pubmed-53693182017-04-12 Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives Daily, Kenneth Ho Sui, Shannan J. Schriml, Lynn M. Dexheimer, Phillip J. Salomonis, Nathan Schroll, Robin Bush, Stacy Keddache, Mehdi Mayhew, Christopher Lotia, Samad Perumal, Thanneer M. Dang, Kristen Pantano, Lorena Pico, Alexander R. Grassman, Elke Nordling, Diana Hide, Winston Hatzopoulos, Antonis K. Malik, Punam Cancelas, Jose A. Lutzko, Carolyn Aronow, Bruce J. Omberg, Larsson Sci Data Data Descriptor The use of induced pluripotent stem cells (iPSC) derived from independent patients and sources holds considerable promise to improve the understanding of development and disease. However, optimized use of iPSC depends on our ability to develop methods to efficiently qualify cell lines and protocols, monitor genetic stability, and evaluate self-renewal and differentiation potential. To accomplish these goals, 57 stem cell lines from 10 laboratories were differentiated to 7 different states, resulting in 248 analyzed samples. Cell lines were differentiated and characterized at a central laboratory using standardized cell culture methodologies, protocols, and metadata descriptors. Stem cell and derived differentiated lines were characterized using RNA-seq, miRNA-seq, copy number arrays, DNA methylation arrays, flow cytometry, and molecular histology. All materials, including raw data, metadata, analysis and processing code, and methodological and provenance documentation are publicly available for re-use and interactive exploration at https://www.synapse.org/pcbc. The goal is to provide data that can improve our ability to robustly and reproducibly use human pluripotent stem cells to understand development and disease. Nature Publishing Group 2017-03-28 /pmc/articles/PMC5369318/ /pubmed/28350385 http://dx.doi.org/10.1038/sdata.2017.30 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Daily, Kenneth
Ho Sui, Shannan J.
Schriml, Lynn M.
Dexheimer, Phillip J.
Salomonis, Nathan
Schroll, Robin
Bush, Stacy
Keddache, Mehdi
Mayhew, Christopher
Lotia, Samad
Perumal, Thanneer M.
Dang, Kristen
Pantano, Lorena
Pico, Alexander R.
Grassman, Elke
Nordling, Diana
Hide, Winston
Hatzopoulos, Antonis K.
Malik, Punam
Cancelas, Jose A.
Lutzko, Carolyn
Aronow, Bruce J.
Omberg, Larsson
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title_full Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title_fullStr Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title_full_unstemmed Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title_short Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
title_sort molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369318/
https://www.ncbi.nlm.nih.gov/pubmed/28350385
http://dx.doi.org/10.1038/sdata.2017.30
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