Search: onr:"swepub:oai:DiVA.org:uu-333672" >
Single-cell analysi...
-
Enge, MartinKarolinska Institutet
(author)
Single-cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns
- Article/chapterEnglish2017
Publisher, publication year, extent ...
-
Elsevier BV,2017
-
printrdacarrier
Numbers
-
LIBRIS-ID:oai:DiVA.org:uu-333672
-
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-333672URI
-
https://doi.org/10.1016/j.cell.2017.09.004DOI
-
http://kipublications.ki.se/Default.aspx?queryparsed=id:136752290URI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:art swepub-publicationtype
Notes
-
As organisms age, cells accumulate genetic and epigenetic errors that eventually lead to impaired organ function or catastrophic transformation such as cancer. Because aging reflects a stochastic process of increasing disorder, cells in an organ will be individually affected in different ways, thus rendering bulk analyses of postmitotic adult cells difficult to interpret. Here, we directly measure the effects of aging in human tissue by performing single-cell transcriptome analysis of 2,544 human pancreas cells from eight donors spanning six decades of life. We find that islet endocrine cells from older donors display increased levels of transcriptional noise and potential fate drift. By determining the mutational history of individual cells, we uncover a novel mutational signature in healthy aging endocrine cells. Our results demonstrate the feasibility of using single-cell RNA sequencing (RNA-seq) data from primary cells to derive insights into genetic and transcriptional processes that operate on aging human tissue.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
-
Arda, H. Efsun
(author)
-
Mignardi, MarcoUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab,Stanford Univ, Dept Bioengn & Appl Phys, Stanford, CA 94305 USA(Swepub:uu)marmi748
(author)
-
Beausang, John
(author)
-
Bottino, Rita
(author)
-
Kim, Seung K.
(author)
-
Quake, Stephen R.
(author)
-
Karolinska InstitutetAvdelningen för visuell information och interaktion
(creator_code:org_t)
Related titles
-
In:Cell: Elsevier BV171:2, s. 321-330.e140092-86741097-4172
Internet link
Find in a library
-
Cell
(Search for host publication in LIBRIS)
To the university's database