Evidence map›Paper›PMID 27790248›Full record

ArticleFrontiers in genetics2016

Large Scale Gene Expression Meta-Analysis Reveals Tissue-Specific, Sex-Biased Gene Expression in Humans.

Benjamin T Mayne, Tina Bianco-Miotto, Sam Buckberry, James Breen, Vicki Clifton, Cheryl Shoubridge, Claire T Roberts

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.

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22 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

7 authors at 3 institutions in 1 country.

Benjamin T MayneRobinson Research Institute, University of AdelaideAdelaide, SA, Australia; Adelaide Medical School, University of AdelaideAdelaide, SA, Australia.
Tina Bianco-MiottoRobinson Research Institute, University of AdelaideAdelaide, SA, Australia; School of Agriculture, Food and Wine, Waite Research Institute, University of AdelaideAdelaide, SA, Australia.
Sam BuckberryHarry Perkins Institute of Medical Research, The University of Western AustraliaPerth, WA, Australia; Plant Energy Biology, Australian Research Council Centre of Excellence, The University of Western AustraliaPerth, WA, Australia.
James BreenRobinson Research Institute, University of AdelaideAdelaide, SA, Australia; Bioinformatics Hub, School of Biological Sciences, University of AdelaideAdelaide, SA, Australia.
Vicki CliftonMater Research Institute, University of Queensland Brisbane, QLD, Australia.
Cheryl ShoubridgeRobinson Research Institute, University of AdelaideAdelaide, SA, Australia; Adelaide Medical School, University of AdelaideAdelaide, SA, Australia.
Claire T RobertsRobinson Research Institute, University of AdelaideAdelaide, SA, Australia; Adelaide Medical School, University of AdelaideAdelaide, SA, Australia.
University of Adelaide · AUHarry Perkins Institute of Medical Research · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity and prevalence of many diseases are known to differ between the sexes. Organ specific sex-biased gene expression may underpin these and other sexually dimorphic traits. To further our understanding of sex differences in transcriptional regulation, we performed meta-analyses of sex biased gene expression in multiple human tissues. We analyzed 22 publicly available human gene expression microarray data sets including over 2500 samples from 15 different tissues and 9 different organs. Briefly, by using an inverse-variance method we determined the effect size difference of gene expression between males and females. We found the greatest sex differences in gene expression in the brain, specifically in the anterior cingulate cortex, (1818 genes), followed by the heart (375 genes), kidney (224 genes), colon (218 genes), and thyroid (163 genes). More interestingly, we found different parts of the brain with varying numbers and identity of sex-biased genes, indicating that specific cortical regions may influence sexually dimorphic traits. The majority of sex-biased genes in other tissues such as the bladder, liver, lungs, and pancreas were on the sex chromosomes or involved in sex hormone production. On average in each tissue, 32% of autosomal genes that were expressed in a sex-biased fashion contained androgen or estrogen hormone response elements. Interestingly, across all tissues, we found approximately two-thirds of autosomal genes that were sex-biased were not under direct influence of sex hormones. To our knowledge this is the largest analysis of sex-biased gene expression in human tissues to date. We identified many sex-biased genes that were not under the direct influence of sex chromosome genes or sex hormones. These may provide targets for future development of sex-specific treatments for diseases.

Indexed as

humanmeta-analysismicroarrayorganssex-biased gene expression

Identifiers

PMID27790248
PMCPMC5062749
OpenAlexW2529891619

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.