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SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages
Stem cell biology has experienced explosive growth over the past decade as researchers attempt to generate therapeutically relevant cell types in the laboratory. Recapitulation of endogenous developmental trajectories is a dominant paradigm in the design of directed differentiation protocols, and at...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013792/ https://www.ncbi.nlm.nih.gov/pubmed/20972216 http://dx.doi.org/10.1093/nar/gkq941 |
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author | Hemphill, Edward E. Dharia, Asav P. Lee, Chih Jakuba, Caroline M. Gibson, Jason D. Kolling, Frederick W. Nelson, Craig E. |
author_facet | Hemphill, Edward E. Dharia, Asav P. Lee, Chih Jakuba, Caroline M. Gibson, Jason D. Kolling, Frederick W. Nelson, Craig E. |
author_sort | Hemphill, Edward E. |
collection | PubMed |
description | Stem cell biology has experienced explosive growth over the past decade as researchers attempt to generate therapeutically relevant cell types in the laboratory. Recapitulation of endogenous developmental trajectories is a dominant paradigm in the design of directed differentiation protocols, and attempts to guide stem cell differentiation are often based explicitly on knowledge of in vivo development. Therefore, when designing protocols, stem cell biologists rely heavily upon information including (i) cell type-specific gene expression profiles, (ii) anatomical and developmental relationships between cells and tissues and (iii) signals important for progression from progenitors to target cell types. Here, we present the Stem Cell Lineage Database (SCLD) (http://scld.mcb.uconn.edu) that aims to unify this information into a single resource where users can easily store and access information about cell type gene expression, cell lineage maps and stem cell differentiation protocols for both human and mouse stem cells and endogenous developmental lineages. By establishing the SCLD, we provide scientists with a centralized location to organize access and share data, dispute and resolve contentious relationships between cell types and within lineages, uncover discriminating cell type marker panels and design directed differentiation protocols. |
format | Text |
id | pubmed-3013792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137922011-01-03 SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages Hemphill, Edward E. Dharia, Asav P. Lee, Chih Jakuba, Caroline M. Gibson, Jason D. Kolling, Frederick W. Nelson, Craig E. Nucleic Acids Res Articles Stem cell biology has experienced explosive growth over the past decade as researchers attempt to generate therapeutically relevant cell types in the laboratory. Recapitulation of endogenous developmental trajectories is a dominant paradigm in the design of directed differentiation protocols, and attempts to guide stem cell differentiation are often based explicitly on knowledge of in vivo development. Therefore, when designing protocols, stem cell biologists rely heavily upon information including (i) cell type-specific gene expression profiles, (ii) anatomical and developmental relationships between cells and tissues and (iii) signals important for progression from progenitors to target cell types. Here, we present the Stem Cell Lineage Database (SCLD) (http://scld.mcb.uconn.edu) that aims to unify this information into a single resource where users can easily store and access information about cell type gene expression, cell lineage maps and stem cell differentiation protocols for both human and mouse stem cells and endogenous developmental lineages. By establishing the SCLD, we provide scientists with a centralized location to organize access and share data, dispute and resolve contentious relationships between cell types and within lineages, uncover discriminating cell type marker panels and design directed differentiation protocols. Oxford University Press 2011-01 2010-10-22 /pmc/articles/PMC3013792/ /pubmed/20972216 http://dx.doi.org/10.1093/nar/gkq941 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hemphill, Edward E. Dharia, Asav P. Lee, Chih Jakuba, Caroline M. Gibson, Jason D. Kolling, Frederick W. Nelson, Craig E. SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title | SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title_full | SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title_fullStr | SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title_full_unstemmed | SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title_short | SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages |
title_sort | scld: a stem cell lineage database for the annotation of cell types and developmental lineages |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013792/ https://www.ncbi.nlm.nih.gov/pubmed/20972216 http://dx.doi.org/10.1093/nar/gkq941 |
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