Evidence map›Paper›PMID 34009305›Full record

ArticleG3 (Bethesda, Md.)2021

Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas.

Weisheng Wu, Jennie L Lovett, Kerby Shedden, Beverly I Strassmann, Claudius Vincenz

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Genome-Wide Identification ofInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. 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 1 institution in 1 country.

Weisheng WuBRCF Bioinformatics Core, University of Michigan, Ann Arbor, MI 48109, USA.
Jennie L LovettDepartment of Anthropology, University of Michigan, Ann Arbor, MI 48109, USA.
Kerby SheddenDepartment of Statistics, University of Michigan, Ann Arbor, MI 48109, USA.
Beverly I StrassmannDepartment of Anthropology, University of Michigan, Ann Arbor, MI 48109, USA.
Claudius VincenzResearch Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA.
University of Michigan–Ann Arbor · US

Funding

Effect of the Placental Epigenome on Stunting in a Longitudinal African CohortR01HD088521 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRASSMANN, BEVERLY ILSE · 2016 to 2020
$3.0M
A longitudinal study of stunting and growth modulating genes in human placentasR21HD077465 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRASSMANN, BEVERLY ILSE · 2014 to 2015
$421k
NICHD NIH HHS R01 HD088521NICHD NIH HHS R21 HD077465
6 · The paper itself

Abstract

Genomic imprinting is an epigenetic mechanism that results in allele-specific expression (ASE) based on the parent of origin. It is known to play a role in the prenatal and postnatal allocation of maternal resources in mammals. ASE detected by whole transcriptome RNA-seq (wht-RNAseq) has been widely used to analyze imprinted genes using reciprocal crosses in mice to generate large numbers of informative SNPs. Studies in humans are more challenging due to the paucity of SNPs and the poor preservation of RNA in term placentas and other tissues. Targeted RNA-seq (tar-RNAseq) can potentially mitigate these challenges by focusing sequencing resources on the regions of interest in the transcriptome. Here, we compared tar-RNAseq and wht-RNAseq in a study of ASE in known imprinted genes in placental tissue collected from a healthy human cohort in Mali, West Africa. As expected, tar-RNAseq substantially improved the coverage of SNPs. Compared to wht-RNAseq, tar-RNAseq produced on average four times more SNPs in twice as many genes per sample and read depth at the SNPs increased fourfold. In previous research on humans, discordant ASE values for SNPs of the same gene have limited the ability to accurately quantify ASE. We show that tar-RNAseq reduces this limitation as it unexpectedly increased the concordance of ASE between SNPs of the same gene, even in cases of degraded RNA. Studies aimed at discovering associations between individual variation in ASE and phenotypes in mammals and flowering plants will benefit from the improved power and accuracy of tar-RNAseq.

Indexed as

Genomic ImprintingPlacentaAllelesFemaleGene Expression ProfilingHumansMaliPolymorphism, Single NucleotidePregnancyRNA-SeqSequence Analysis, RNAallele-specific expressiongenomic imprintinghuman placentaquantification of ASEtargeted RNA-seq

Identifiers

PMID34009305
PMCPMC8496276
OpenAlexW3161109591

What Socratic 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 Socratic graph.