Evidence map›Paper›PMID 34314509›Full record

ArticleClinical pharmacology and therapeutics2021

Mapping the miRNA-mRNA Interactome in Human Hepatocytes and Identification of Functional mirSNPs in Pharmacogenes.

Nicholas R Powell, Harrison Zhao, Joseph Ipe, Yunlong Liu, Todd C Skaar

Open access · bronzeAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. miRNAs and arsenic-induced carcinogenesis.Advances in pharmacology (San Diego, Calif.) · 2023
    Review
  5. Review
  6. Review
  7. Observational
  8. 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 2 institutions in 1 country.

Nicholas R PowellDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Harrison ZhaoDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Joseph IpeDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Yunlong LiuDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Todd C SkaarDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Indiana University School of MedicineIndiana University – Purdue University Indianapolis · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
EXTRAMURAL RESEARCH FACILITIES IMPROVEMENT: NEUROLOGICAL DISORDERS:ALZ, PDC06RR020128 · NCRR · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FIFE, ROSE S · 2004 to 2004
$3.7M
LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
MIRA-Regulation of drug metabolizing enzymesR35GM131812 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI SKAAR, TODD C. · 2019 to 2023
$2.5M
Methods for high-resolution analysis of genetic effects on gene expressionR01MH101814 · NIMH · UNIVERSITY OF GENEVA · PI BUSTAMANTE, CARLOS DANIEL, DERMITZAKIS, EMMANOUIL · 2013 to 2016
$2.3M
Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease BiologyR01MH101820 · NIMH · UNIVERSITY OF CHICAGO · PI COX, NANCY J, NICOLAE, DAN LIVIU · 2013 to 2015
$2.3M
Identification and validation of cell specific eQTLs by Bayesian modelingR01MH101822 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BROWN, CHRISTOPHER DAVID, ENGELHARDT, BARBARA · 2013 to 2016
$1.9M
Genetic Regulation of Gene Expression and its Impact on Phenotypes - SupplementR01MH101782 · NIMH · STANFORD UNIVERSITY · PI SABATTI, CHIARA · 2013 to 2016
$1.3M
MODELING THE EFFECTS OF STRUCTURAL VARIATION IN GTEX DATA AND MENDELIAN DISEASER01MH101810 · NIMH · WASHINGTON UNIVERSITY · PI CONRAD, DONALD F. · 2013 to 2016
$1.3M
Systems approaches to link tissue-specific expression to diseaseR01MH101819 · NIMH · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2013 to 2015
$1.3M
Statistical analysis of gene expression quantitative trait loci (eQTL)R01MH101825 · NIMH · UNIVERSITY OF CHICAGO · PI STEPHENS, MATTHEW · 2013 to 2015
$1.1M
CCR NIH HHS HHSN261200800001CNCATS NIH HHS UL1 TR002529NCI NIH HHS HHSN261200800001ENCRR NIH HHS C06 RR020128NHLBI NIH HHS HHSN268201000029CNIDA NIH HHS R01 DA006227NIGMS NIH HHS R35 GM131812NIGMS NIH HHS T32 GM008425NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825
6 · The paper itself

Abstract

MiRNAs regulate the expression of hepatic genes involved in pharmacokinetics and pharmacodynamics. Genetic variants affecting miRNA binding (mirSNPs) have been associated with altered drug response, but previously used methods to identify miRNA binding sites and functional mirSNPs in pharmacogenes are indirect and limited by low throughput. We utilized the high-throughput chimeric-eCLIP assay to directly map thousands of miRNA-mRNA interactions and define the miRNA binding sites in primary hepatocytes. We then used the high-throughput PASSPORT-seq assay to functionally test 262 potential mirSNPs with coordinates overlapping the identified miRNA binding sites. Using chimeric-eCLIP, we identified a network of 448 miRNAs that collectively target 11,263 unique genes in primary hepatocytes pooled from 100 donors. Our data provide an extensive map of miRNA binding of each gene, including pharmacogenes, expressed in primary hepatocytes. For example, we identified the hsa-mir-27b-DPYD interaction at a previously validated binding site. A second example is our identification of 19 unique miRNAs that bind to CYP2B6 across 20 putative binding sites on the transcript. Using PASSPORT-seq, we then identified 24 mirSNPs that functionally impacted reporter mRNA levels. To our knowledge, this is the most comprehensive identification of miRNA binding sites in pharmacogenes. Combining chimeric-eCLIP with PASSPORT-seq successfully identified functional mirSNPs in pharmacogenes that may affect transcript levels through altered miRNA binding. These results provide additional insights into potential mechanisms contributing to interindividual variability in drug response.

Indexed as

Chromatin Immunoprecipitation SequencingCytochrome P-450 CYP2B6Dihydrouracil Dehydrogenase (NADP)HepatocytesHumansMicroRNAsPharmacogenomic VariantsPolymorphism, Single NucleotideRNA, MessengerRNA-SeqCytochrome P-450 CYP2B6Dihydrouracil Dehydrogenase (NADP)MicroRNAsMIRN122 microRNA, humanMIRN27b microRNA, humanRNA, Messenger

Identifiers

PMID34314509
PMCPMC9007393
OpenAlexW3183937320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.