Evidence map›Paper›PMID 17355992›Full record

ArticleNucleic acids research2007

A novel microarray approach reveals new tissue-specific signatures of known and predicted mammalian microRNAs.

Iwan Beuvink, Fabrice A Kolb, Wolfgang Budach, Arlette Garnier, Joerg Lange, Francois Natt, Uwe Dengler, Jonathan Hall, Witold Filipowicz, Jan Weiler

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. miRNA in Molecular Diagnostics.Bioengineering (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Article
  9. MicroRNA-10 negatively regulates inflammation in diabetic kidney via targeting activation of the NLRP3 inflammasome.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Article
  10. Article
  11. microRNAs in Neurodegeneration: Current Findings and Potential Impacts.Journal of Alzheimer's disease & Parkinsonism · 2018
    Article
  12. Review
  13. MicroRNA-196a/b Mitigate Renal Fibrosis by Targeting TGF-β Receptor 2.Journal of the American Society of Nephrology : JASN · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

10 authors.

Iwan BeuvinkNovartis Institutes for BioMedical Research, Genome and Proteome Sciences, Basel, Switzerland.
Fabrice A Kolb
Wolfgang Budach
Arlette Garnier
Joerg Lange
Francois Natt
Uwe Dengler
Jonathan Hall
Witold Filipowicz
Jan Weiler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarrays to examine the global expression levels of microRNAs (miRNAs) in a systematic in-parallel manner have become important tools to help unravel the functions of miRNAs and to understand their roles in RNA-based regulation and their implications in human diseases. We have established a novel miRNA-specific microarray platform that enables the simultaneous expression analysis of both known and predicted miRNAs obtained from human or mouse origin. Chemically modified 2'-O-(2-methoxyethyl)-(MOE) oligoribonucleotide probes were arrayed onto Evanescent Resonance (ER) microchips by robotic spotting. Supplementing the complementary probes against miRNAs with carefully designed mismatch controls allowed for accurate sequence-specific determination of miRNA expression profiles obtained from a panel of mouse tissues. This revealed new expression signatures of known miRNAs as well as of novel miRNAs previously predicted using bioinformatic methods. Systematic confirmation of the array data with northern blotting and, in particular, real-time PCR suggests that the described microarray platform is a powerful tool to analyze miRNA expression patterns with rapid throughput and high fidelity.

Indexed as

AnimalsGene Expression ProfilingHeLa CellsHumansMiceMicroRNAsOligonucleotide Array Sequence AnalysisOligonucleotide ProbesRNATissue DistributionMicroRNAsOligonucleotide ProbesRNA

Identifiers

PMID17355992
PMCPMC1874652

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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.