Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and deriva...
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
About this item
Full title
Author / Creator
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. and Omberg, Larsson
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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.
Design Type(s)
parallel group design • cell type comparison design
Measurement Type(s)
phenotype characterization • transcription profiling assay • microRNA profiling ass...
Alternative Titles
Full title
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
Authors, Artists and Contributors
Author / Creator
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5369318
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5369318
Other Identifiers
ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/sdata.2017.30