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Status |
Public on May 01, 2020 |
Title |
ctrl3 |
Sample type |
SRA |
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Source name |
control_FACS sorted pancreatic beta-cells
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Organism |
Rattus norvegicus |
Characteristics |
strain background: Sprague-Dawley age: adult genotype/variation: Control cell type: FACS sorted pancreatic beta-cells
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Treatment protocol |
Cell transfection– Dispersed rat islet cells or FACS-sorted β-cells were transfected with a pool of 4 siRNAs directed against rat Scrt1 or negative control (On-Target plus #081299-02 and #001810-10 respectively, Dharmacon) using Lipofectamine RNAiMAX (Thermofisher). RNA extraction was performed 48h after transfection.
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Growth protocol |
Islet isolation, dispersion and cell sorting: Islets were isolated by collagenase digestion of the pancreas (Gotoh et al., 1987) followed by Histopaque density gradient and hand-picking to separate them from digested exocrine tissue. At the end of the isolation, islets were incubated for 2h in RPMI 1640 GlutaMAXTM medium (Invitrogen) containing 11 mM glucose and 2 mM L-glutamine and supplemented with 10% fetal calf serum (Gibco), 10 mM Hepes pH 7.4, 1 mM sodium pyruvate, 100 µg/mL streptomycin and 100 IU/mL penicillin. Dissociated islet cells were obtained by incubating the islets in Ca2+/Mg2+ free phosphate buffered saline, 3 mM EGTA and 0.002% trypsin for 5 min at 37°C. For some experiments, rat islet cells were separated by Fluorescence-Activated Cell Sorting (FACS) based on β-cell autofluorescence, as previously described (Guay et al., 2019; Kohler et al., 2012). Sorted islet cells were seeded on plastic dishes coated with extracellular matrix secreted by 804 G rat bladder cancer cells (804 G ECM) (Parnaud et al., 2008). Enrichment of α - and β-cells was evaluated by double immunofluorescence staining using polyclonal guinea pig anti-insulin (dilution 1:40, PA1-26938 Invitrogen) and polyclonal mouse anti-glucagon (dilution 1:1000, Abcam Ab10988), followed by goat anti-guinea pig Alexa-Fluor-488 and goat anti-mouse Alexa-Fluor-555 (diluted 1:400, Thermofisher A11073 and A21422, respectively) secondary antibodies. On average, β-cell fractions contained 99.1 ± 0.9% insulin-positive cells and 0.6 ± 0.6% glucagon-positive cells and α-cell-enriched fractions contained 10.6 ± 8.2% insulin-positive cells and 88.8 ± 8.2% glucagon-positive cells.
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Extracted molecule |
total RNA |
Extraction protocol |
RNA was extracted using miRNeasy micro kit (Qiagen) followed by DNase treatment (Promega). RNA libraries were prepared for sequencing using standard Illumina protocols
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 4000 |
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Data processing |
Quality control of the sequencing was performed with FastQC Sequencing adaptors were removed using trimmomatic An index of Rn6 cDNA was build for Kallisto alignment of reads was performed using Kallisto Subsequent analysis were performed with sleuth (differential expression analysis) and cluster profiller (annotation enrichment analysis) Genome_build: Rno6 Supplementary_files_format_and_content: annotated count table with est counts, TPM, transcripts ID, gene ID,gene name, for each sample.
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Submission date |
May 02, 2019 |
Last update date |
May 01, 2020 |
Contact name |
Jonathan Aryeh Sobel |
E-mail(s) |
jonathan.sobel@weizmann.ac.il
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Phone |
00972587889058
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Organization name |
Weizmann Institute of science
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Department |
Biomolecular Sciences
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Lab |
Asher
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Street address |
Benoziyo Building for Biological Sciences, room 277S, Weizmann Institute of Science
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City |
Rehovot |
ZIP/Postal code |
7610001 |
Country |
Israel |
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Platform ID |
GPL22396 |
Series (1) |
GSE130651 |
Identification of Scrt1, a new transcriptional regulator of beta-cell maturation using chromatin accessibility variations |
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Relations |
BioSample |
SAMN11567376 |
SRA |
SRX5783547 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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