Evidence map›Paper›PMID 21518438›Full record

ArticleBMC systems biology2011

Systems biology approach to identify transcriptome reprogramming and candidate microRNA targets during the progression of polycystic kidney disease.

Priyanka Pandey, Shan Qin, Jacqueline Ho, Jing Zhou, Jordan A Kreidberg

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

47 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Functional Annotation of MicroRNAs Using Existing Resources.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Article
  9. Article
  10. Non-Coding RNAs in Hereditary Kidney Disorders.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Role of MicroRNAs in Renal Parenchymal Diseases-A New Dimension.International journal of molecular sciences · 2018
    Review
  17. Article
  18. Article
  19. Review
  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

5 authors at 3 institutions in 1 country.

Priyanka PandeyDepartment of Medicine, Children's Hospital Boston; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
Shan Qin
Jacqueline Ho
Jing Zhou
Jordan A Kreidberg
Harvard University · USBoston Children's Hospital · USBrigham and Women's Hospital · US

Funding

Polycystin channels and calciumP50DK074030 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAH, JAGESH V · 2005 to 2009
$5.9M
MicroRNAs in kidney progenitor cells.K99DK087922 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HO, JACQUELINE · 2010 to 2011
$216k
NIDDK NIH HHS K99 DK087922NIDDK NIH HHS P50 DK074030-01
6 · The paper itself

Abstract

backgroundAutosomal dominant polycystic kidney disease (ADPKD) is characterized by cyst formation throughout the kidney parenchyma. It is caused by mutations in either of two genes, PKD1 and PKD2. Mice that lack functional Pkd1 (Pkd1⁻/⁻), develop rapidly progressive cystic disease during embryogenesis, and serve as a model to study human ADPKD. Genome wide transcriptome reprogramming and the possible roles of micro-RNAs (miRNAs) that affect the initiation and progression of cyst formation in the Pkd1⁻/⁻ have yet to be studied. miRNAs are small, regulatory non-coding RNAs, implicated in a wide spectrum of biological processes. Their expression levels are altered in several diseases including kidney cancer, diabetic nephropathy and PKD.

resultsWe examined the molecular pathways that modulate renal cyst formation and growth in the Pkd1⁻/⁻ model by performing global gene-expression profiling in embryonic kidneys at days 14.5 and 17.5. Gene Ontology and gene set enrichment analysis were used to identify overrepresented signaling pathways in Pkd1⁻/⁻ kidneys. We found dysregulation of developmental, metabolic, and signaling pathways (e.g. Wnt, calcium, TGF-β and MAPK) in Pkd1⁻/⁻ kidneys. Using a comparative transcriptomics approach, we determined similarities and differences with human ADPKD: ~50% overlap at the pathway level among the mis-regulated pathways was observed. By using computational approaches (TargetScan, miRanda, microT and miRDB), we then predicted miRNAs that were suggested to target the differentially expressed mRNAs. Differential expressions of 9 candidate miRNAs, miRs-10a, -30a-5p, -96, -126-5p, -182, -200a, -204, -429 and -488, and 16 genes were confirmed by qPCR. In addition, 14 candidate miRNA:mRNA reciprocal interactions were predicted. Several of the highly regulated genes and pathways were predicted as targets of miRNAs.

conclusionsWe have described global transcriptional reprogramming during the progression of PKD in the Pkd1⁻/⁻ model. We propose a model for the cascade of signaling events involved in cyst formation and growth. Our results suggest that several miRNAs may be involved in regulating signaling pathways in ADPKD. We further describe novel putative miRNA:mRNA signatures in ADPKD, which will provide additional insights into the pathogenesis of this common genetic disease in humans.

Indexed as

Gene Expression ProfilingAnimalsDiabetic NephropathiesGenome-Wide Association StudyHumansMiceMice, TransgenicMicroRNAsModels, BiologicalModels, GeneticMutationPolycystic Kidney DiseasesPolymerase Chain ReactionSignal TransductionSystems BiologyTranscription, GeneticMicroRNAs

Identifiers

PMID21518438
PMCPMC3111376
OpenAlexW2142446574

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.