Long non-coding RNA lnc-CCNL1-3:1 promotes granulosa cell apoptosis and suppresses glucose uptake in women with polycystic ovary syndrome is a research paper published in Molecular Therapy — Nucleic Acids (2020). On theSindex it has a DataRank of 0. It has been cited 58 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Science and Technology Commission of Shanghai Municipality
Grant: 17DZ2271100
Science and Technology Commission of Shanghai Municipality
Grant: 19410760300
National Key Research and Development Program of China
Grant: 2017YFC1001002
National Key Research and Development Program of China
Grant: 2018YFC1003202
National Natural Science Foundation of China
Grant: 81671413
National Natural Science Foundation of China
Grant: 81671414
National Natural Science Foundation of China
Grant: 81971343
National Institutes of Health
Grant: 1R01HD085527
NICHD NIH HHS
Grant: R21 HD085527
Keywords
Additional file 1 of MiR-134-3p targets HMOX1 to inhibit ferroptosis in granulosa cells of sheep follicles
Additional file 1 of MiR-134-3p targets HMOX1 to inhibit ferroptosis in granulosa cells of sheep follicles
Additional file 2 of MiR-134-3p targets HMOX1 to inhibit ferroptosis in granulosa cells of sheep follicles
Additional file 2 of MiR-134-3p targets HMOX1 to inhibit ferroptosis in granulosa cells of sheep follicles
Additional file 1 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 1 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 2 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 2 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 3 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 3 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 4 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 4 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 5 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 5 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 6 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 6 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 7 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China
Additional file 7 of Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China