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Series GSE106938 Query DataSets for GSE106938
Status Public on May 04, 2018
Title Age-related Islet Inflammation Marks the Proliferative Decline of Pancreatic Beta-cells in Zebrafish
Organism Danio rerio
Experiment type Expression profiling by high throughput sequencing
Summary Individual organisms age at different rates, however, it remains unclear how aging alters the properties of individual cells. Here we show that zebrafish pancreatic beta-cells exhibit heterogeneity in both gene expression and proliferation with age. Individual beta-cells show marked variability in transcripts involved in endoplasmic reticulum stress, inhibition of growth factor signaling and inflammation, including NF-kB signaling. Using a reporter line, we show that NF-kB signaling is indeed activated heterogeneously with age. Notably, beta-cells with higher NF-kB activity proliferate less compared to neighbors with lower activity. Furthermore, NF-kB-signalinghigh beta-cells from younger islets upregulate socs2, a gene naturally expressed in beta-cells from older islets. In turn, socs2 can inhibit proliferation cell-autonomously. NF-kB activation correlates with the recruitment of tnfα-expressing immune cells, pointing towards a role for the islet microenvironment in this activity. We propose that aging is heterogeneous across individual beta-cells and identify NF-kB signaling as a marker of heterogeneity.
 
Overall design We used fluorescence-activated cell sorting (FACS) coupled with next generation RNA-Sequencing to profile beta-cells from 3 month post fertilization and 1 year post fertilization animals. total RNA was extracted from FACS sorted beta-cells using Quick-RNA MicroPrep kit (R1050 Zymo Research). Sequencing was performed on llumina HiSeq2500 in 2x75bp paired-end mode. Reads were splice-aligned to the zebrafish genome, GRCz10, using HISAT2. htseq-count was used to assign reads to exons thus eventually getting counts per gene.
 
Contributor(s) Janjuha S, Singh SP, Ninov N
Citation(s) 29624168
Submission date Nov 15, 2017
Last update date May 15, 2019
Contact name Nikolay Ninov
Organization name CRTD
Lab Ninov Lab
Street address Fetscherstrasse 105
City Dresden
ZIP/Postal code 01307
Country Germany
 
Platforms (1)
GPL18413 Illumina HiSeq 2500 (Danio rerio)
Samples (3)
GSM2857830 3mpf_rep1
GSM2857831 1ypf_rep1
GSM2857832 1ypf_rep2
Relations
BioProject PRJNA418467
SRA SRP125042

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE106938_RAW.tar 390.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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