Resource Type
Dataset
Resource Name

Single-cell transcriptome analysis of 2,544 human pancreas cells from eight donors spanning six decades of life

Canonical Identifier
Description
Single-cell transcriptome analysis of 2544 human pancreas cells from donors, spanning six decades of life. Islet cells from older donors have increased levels of disorder as measured both by noise in the transcriptome and by the number of cells which display inappropriate hormone expression, revealing a transcriptional instability associated with aging. By analyzing the spectrum of somatic mutations in single cells from previously-healthy donors, we find a specific age-dependent mutational signature characterized by C to A and C to G transversions, indicators of oxidative stress, which is absent in single cells from human brain tissue or in a tumor cell line. Cells carrying a high load of such mutations also express higher levels of stress and senescence markers, including FOS, JUN, and the cytoplasmic superoxide dismutase SOD1, markers previously linked to pancreatic diseases with substantial age-dependent risk, such as type 2 diabetes mellitus and adenocarcinoma.
Contributors
NameOrganizationConsortiumContact
Rita BottinoAllegheny Health NetworkCTAR Contact
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Defining Manuscript Identifier


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machine learning

Publications
Machine learning based classification of cells into chronological stages using single-cell transcriptomics

Contacts
Sumeet Singh

Notes
This dataset was used as train and test data for a Deep Neural Network (DNN) model.
sequence analysis objective

Publications
PMID35440614 HIRN SUPPORTED

Contacts
John Kaddis
Daniel Oropeza
RNA-Seq

Publications
PMID36197983 HIRN SUPPORTED

Contacts
Rafael Drigo
Patrick MacDonald
RNA-Seq

Publications
PMID34052132 HIRN SUPPORTED

Contacts
Patrick MacDonald
RNA-Seq

Publications
PMID37435358 HIRN SUPPORTED

Contacts
Lotte Vanheer
RNA-Seq

Publications
PMID37697055 HIRN SUPPORTED

Contacts
Heiko Lickert
Biosample Characteristics
Biosample Type
Technology Type or Sequencing Platform


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