Evidence map›Paper›PMID 24985917›Full record

ArticleGenome research2014

Diversity of miRNAs, siRNAs, and piRNAs across 25 Drosophila cell lines.

Jiayu Wen, Jaaved Mohammed, Diane Bortolamiol-Becet, Harrison Tsai, Nicolas Robine, Jakub O Westholm, Erik Ladewig, Qi Dai, Katsutomo Okamura, Alex S Flynt and 7 more

Abstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Article
  2. Advancing insect research through cell line transcriptomics.In vitro cellular & developmental biology. Animal · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Resources and Methods for the Analysis of MicroRNA Function in Drosophila.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Yb body assembly on theMolecular biology of the cell · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jiayu WenDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Jaaved MohammedDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA; Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York 10065, USA;
Diane Bortolamiol-BecetDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Harrison TsaiDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Nicolas RobineDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA; New York Genome Center, New York, New York 10022, USA;
Jakub O WestholmDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Erik LadewigDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Qi DaiDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Katsutomo OkamuraDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA; Temasek Life Sciences, Temasek Lifesciences Laboratory, National University of Singapore, 117604 Singapore;
Alex S FlyntDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;
Dayu ZhangDepartment of Biology, Indiana University, Bloomington, Indiana 47405, USA.
Justen AndrewsDepartment of Biology, Indiana University, Bloomington, Indiana 47405, USA.
Lucy CherbasDepartment of Biology, Indiana University, Bloomington, Indiana 47405, USA.
Thomas C KaufmanDepartment of Biology, Indiana University, Bloomington, Indiana 47405, USA.
Peter CherbasDepartment of Biology, Indiana University, Bloomington, Indiana 47405, USA.
Adam SiepelDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA;
Eric C LaiDepartment of Developmental Biology, Sloan-Kettering Institute, New York, New York 10065, USA;

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
A Data Analysis Center for integration of fly and worm modENCODE datasetsRC2HG005639 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2009 to 2011
$4.1M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
Annotation of the small RNA/microRNA component Drosophila genomeU01HG004261 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI LAI, ERIC C · 2007 to 2011
$2.5M
NCI NIH HHS P30 CA008748NHGRI NIH HHS RC2 HG005639NHGRI NIH HHS RC2-HG005639NHGRI NIH HHS U01 HG004261NHGRI NIH HHS U01-HG004261NIGMS NIH HHS 1T32GM083937NIGMS NIH HHS R01 GM083300NIGMS NIH HHS R01-GM083300NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

We expanded the knowledge base for Drosophila cell line transcriptomes by deeply sequencing their small RNAs. In total, we analyzed more than 1 billion raw reads from 53 libraries across 25 cell lines. We verify reproducibility of biological replicate data sets, determine common and distinct aspects of miRNA expression across cell lines, and infer the global impact of miRNAs on cell line transcriptomes. We next characterize their commonalities and differences in endo-siRNA populations. Interestingly, most cell lines exhibit enhanced TE-siRNA production relative to tissues, suggesting this as a common aspect of cell immortalization. We also broadly extend annotations of cis-NAT-siRNA loci, identifying ones with common expression across diverse cells and tissues, as well as cell-restricted loci. Finally, we characterize small RNAs in a set of ovary-derived cell lines, including somatic cells (OSS and OSC) and a mixed germline/somatic cell population (fGS/OSS) that exhibits ping-pong piRNA signatures. Collectively, the ovary data reveal new genic piRNA loci, including unusual configurations of piRNA-generating regions. Together with the companion analysis of mRNAs described in a previous study, these small RNA data provide comprehensive information on the transcriptional landscape of diverse Drosophila cell lines. These data should encourage broader usage of fly cell lines, beyond the few that are presently in common usage.

Indexed as

Genetic VariationAnimalsBase SequenceCell LineComputational BiologyDrosophilaGene ExpressionGenetic LociGerm CellsHigh-Throughput Nucleotide SequencingMicroRNAsMolecular Sequence AnnotationMolecular Sequence DataNucleic Acid ConformationRNA, Small InterferingSequence AlignmentMicroRNAsRNA, Small Interfering

Identifiers

PMID24985917
PMCPMC4079977

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.