Evidence map›Paper›PMID 26562842›Full record

ArticlePloS one2015

Identification of microRNAs in Macaca fascicularis (Cynomolgus Monkey) by Homology Search and Experimental Validation by Small RNA-Seq and RT-qPCR Using Kidney Cortex Tissues.

Yaligara Veeranagouda, Pierrick Rival, Catherine Prades, Claire Mariet, Jean-François Léonard, Jean-Charles Gautier, Xiaobing Zhou, Jufeng Wang, Bo Li, Marie-Laure Ozoux and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Age-related Effects of Heroin on Gene Expression in the Hippocampus and Striatum of Cynomolgus Monkeys.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Circulating liver-specific microRNAs in cynomolgus monkeys.Journal of toxicologic pathology · 2018
    Review
  8. microRNA regulators of apoptosis in cancer.Discoveries (Craiova, Romania) · 2016
    Review
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Yaligara VeeranagoudaSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Pierrick RivalSanofi R&D, Global Biotherapeutics, Vitry-sur-Seine, France.
Catherine PradesSanofi R&D, Global Biotherapeutics, Vitry-sur-Seine, France.
Claire MarietSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Jean-François LéonardSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Jean-Charles GautierSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Xiaobing ZhouNational Center for Safety Evaluation of Drugs (NCSED), National Institutes for Food and Drug Control, Beijing, China.
Jufeng WangNational Center for Safety Evaluation of Drugs (NCSED), National Institutes for Food and Drug Control, Beijing, China.
Bo LiNational Center for Safety Evaluation of Drugs (NCSED), National Institutes for Food and Drug Control, Beijing, China.
Marie-Laure OzouxSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Eric BoitierSanofi R&D, Disposition Safety and animal Research, Vitry-sur-Seine, France.
Sanofi (France) · FRNational Institutes for Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) present in tissues and biofluids are emerging as sensitive and specific safety biomarkers. MiRNAs have not been thoroughly described in M. fascicularis, an animal model used in pharmaceutical industry especially in drug safety evaluation. Here we investigated the miRNAs in M. fascicularis. For Macaca mulatta, a closely related species of M. fascicularis, 619 stem-loop precursor miRNAs (pre-miRNAs) and 914 mature miRNAs are available in miRBase version 21. Using M. mulatta miRNAs as a reference list and homology search tools, we identified 604 pre-miRNAs and 913 mature miRNAs in the genome of M. fascicularis. In order to validate the miRNAs identified by homology search we attempted to sequence miRNAs expressed in kidney cortex from M. fascicularis. MiRNAs expressed in kidney cortex may indeed be released in urine upon kidney cortex damage and be potentially used to monitor drug induced kidney injury. Hence small RNA sequencing libraries were prepared using kidney cortex tissues obtained from three naive M. fascicularis and sequenced. Analysis of sequencing data indicated that 432 out of 913 mature miRNAs were expressed in kidney cortex tissues. Assigning these 432 miRNAs to pre-miRNAs revealed that 273 were expressed from both the -5p and -3p arms of 150 pre-miRNAs and 159 miRNAs expressed from either the -5p or -3p arm of 176 pre-miRNAs. Mapping sequencing reads to pre-miRNAs also facilitated the detection of twenty-two new miRNAs. To substantiate miRNAs identified by small RNA sequencing, 313 miRNAs were examined by RT-qPCR. Expression of 262 miRNAs in kidney cortex tissues ware confirmed by TaqMan microRNA RT-qPCR assays. Analysis of kidney cortex miRNA targeted genes suggested that they play important role in kidney development and function. Data presented in this study may serve as a valuable resource to assess the renal safety biomarker potential of miRNAs in Cynomolgus monkeys.

Indexed as

AnimalsBiomarkersGene Expression ProfilingGenomeHumansKidney CortexMacaca fascicularisMicroRNAsReal-Time Polymerase Chain ReactionRNA PrecursorsSequence Analysis, RNABiomarkersMicroRNAsRNA Precursors

Identifiers

PMID26562842
PMCPMC4642959
OpenAlexW2172731407

What OpenQuestion holds

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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.