What's new for 'JKB_daily1' in PubMed

This message contains My NCBI what's new results from the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM).
Do not reply directly to this message.

Sender's message: Sepsis or genomics or altitude: JKB_daily1

Sent on Friday, 2014 August 01
Search: (sepsis[MeSH Terms] OR septic shock[MeSH Terms] OR altitude[MeSH Terms] OR genomics[MeSH Terms] OR genetics[MeSH Terms] OR retrotransposons[MeSH Terms] OR macrophage[MeSH Terms]) AND ("2009/8/8"[Publication Date] : "3000"[Publication Date]) AND (("Science"[Journal] OR "Nature"[Journal] OR "The New England journal of medicine"[Journal] OR "Lancet"[Journal] OR "Nature genetics"[Journal] OR "Nature medicine"[Journal]) OR (Hume DA[Author] OR Baillie JK[Author] OR Faulkner, Geoffrey J[Author]))

View complete results in PubMed (results may change over time).

Edit saved search settings, or unsubscribe from these e-mail updates.

PubMed Results

Item 1 of 1

1.	Nature. 2014 May 15;509(7500):371-5. doi: 10.1038/nature13173. Epub 2014 Apr 13. Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Treutlein B1, Brownfield DG2, Wu AR3, Neff NF3, Mantalas GL3, Espinoza FH4, Desai TJ5, Krasnow MA4, Quake SR3. Author information: 11] Departments of Bioengineering and Applied Physics, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA [2]. 21] Department of Biochemistry, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA [2]. 3Departments of Bioengineering and Applied Physics, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA. 4Department of Biochemistry, Stanford University School of Medicine and Howard Hughes Medical Institute, Stanford, California 94305, USA. 5Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. Comment in Deciphering developmental processes from single-cell transcriptomes. [Dev Cell. 2014] Deciphering developmental processes from single-cell transcriptomes.Robson P. Dev Cell. 2014 May 12; 29(3):260-1. Abstract The mammalian lung is a highly branched network in which the distal regions of the bronchial tree transform during development into a densely packed honeycomb of alveolar air sacs that mediate gas exchange. Although this transformation has been studied by marker expression analysis and fate-mapping, the mechanisms that control the progression of lung progenitors along distinct lineages into mature alveolar cell types are still incompletely known, in part because of the limited number of lineage markers and the effects of ensemble averaging in conventional transcriptome analysis experiments on cell populations. Here we show that single-cell transcriptome analysis circumvents these problems and enables direct measurement of the various cell types and hierarchies in the developing lung. We used microfluidic single-cell RNA sequencing (RNA-seq) on 198 individual cells at four different stages encompassing alveolar differentiation to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We empirically classified cells into distinct groups by using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or the previous purification of cell populations. The results confirmed the basic outlines of the classical model of epithelial cell-type diversity in the distal lung and led to the discovery of many previously unknown cell-type markers, including transcriptional regulators that discriminate between the different populations. We reconstructed the molecular steps during maturation of bipotential progenitors along both alveolar lineages and elucidated the full life cycle of the alveolar type 2 cell lineage. This single-cell genomics approach is applicable to any developing or mature tissue to robustly delineate molecularly distinct cell types, define progenitors and lineage hierarchies, and identify lineage-specific regulatory factors.
	PMID: 24739965 [PubMed - indexed for MEDLINE]