A human cell atlas of fetal chromatin accessibility
A human cell atlas of fetal chromatin accessibility
The genomics of human development Understanding the trajectory of a developing human requires an understanding of how genes are regulated and expressed. Two papers now present a pooled approach using three levels of combinatorial indexing to examine the single-cell gene expression and chromatin landscapes from 15 organs in fetal samples. Cao et al. focus on measurements of RNA in broadly distributed cell types and provide insights into organ specificity. Domcke et al. examined the chromatin accessibility of cells from these organs and identify the regulatory elements that regulate gene expression. Together, these analyses generate comprehensive atlases of early human development. Science , this issue p. eaba7721 , p. eaba7612
- University of Mary United States
- University of Washington United States
- University of Arizona United States
- Fred Hutchinson Cancer Research Center United States
- Fred Hutchinson Cancer Research Center South Africa
Neurons, Atlases as Topic, Fetus, Gene Expression Profiling, Gene Expression Regulation, Developmental, Humans, Single-Cell Analysis, Chromatin, Transcription Factors
Neurons, Atlases as Topic, Fetus, Gene Expression Profiling, Gene Expression Regulation, Developmental, Humans, Single-Cell Analysis, Chromatin, Transcription Factors
2 Research products, page 1 of 1
- IsRelatedTo
- IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).366 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
