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Single-cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns

Enge, Martin (author)
Karolinska Institutet
Arda, H. Efsun (author)
Mignardi, Marco (author)
Uppsala 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
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Beausang, John (author)
Bottino, Rita (author)
Kim, Seung K. (author)
Quake, Stephen R. (author)
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 (creator_code:org_t)
Elsevier BV, 2017
2017
English.
In: Cell. - : Elsevier BV. - 0092-8674 .- 1097-4172. ; 171:2, s. 321-330.e14
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)

Keyword

Computerized Image Processing
Datoriserad bildbehandling

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