Evidence map›Paper›PMID 37620324›Full record

ArticleScientific reports2023

Analysis of subcellular RNA fractions demonstrates significant genetic regulation of gene expression in human brain post-transcriptionally.

Karishma D'Sa, Sebastian Guelfi, Jana Vandrovcova, Regina H Reynolds, David Zhang, John Hardy, Juan A Botía, Michael E Weale, Sarah A Gagliano Taliun, Kerrin S Small and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 7 institutions in 5 countries.

Karishma D'SaDepartment of Neurodegenerative Disease, University College London, London, WC1N 3BG, UK.
Sebastian GuelfiDepartment of Neurodegenerative Disease, University College London, London, WC1N 3BG, UK.
Jana VandrovcovaDept of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.
Regina H ReynoldsGreat Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, WC1N 1EH, UK.
David ZhangGreat Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, WC1N 1EH, UK.
John HardyDepartment of Neurodegenerative Disease, University College London, London, WC1N 3BG, UK.
Juan A BotíaGreat Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, WC1N 1EH, UK.
Michael E WealeDepartment of Medical & Molecular Genetics, School of Medical Sciences, King's College London, Guy's Hospital, London, SE1 1UL, UK.
Sarah A Gagliano TaliunDepartment of Medicine, Université de Montréal, Montréal, QC, H3T 1J4, Canada.
Kerrin S Small *Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Mina Ryten *Great Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, WC1N 1EH, UK. mina.ryten@ucl.ac.uk.
University College London · GBGenomics (United Kingdom) · GBKing's College London · GBMontreal Heart Institute · CANational Hospital for Neurology and Neurosurgery · GBUCL Biomedical Research Centre · GBUniversidad de Murcia · ES

Funding

Medical Research Council MR/M004422/1Medical Research Council MR/N008324/1Medical Research Council MR/R023131/1
6 · The paper itself

Abstract

Gaining insight into the genetic regulation of gene expression in human brain is key to the interpretation of genome-wide association studies for major neurological and neuropsychiatric diseases. Expression quantitative trait loci (eQTL) analyses have largely been used to achieve this, providing valuable insights into the genetic regulation of steady-state RNA in human brain, but not distinguishing between molecular processes regulating transcription and stability. RNA quantification within cellular fractions can disentangle these processes in cell types and tissues which are challenging to model in vitro. We investigated the underlying molecular processes driving the genetic regulation of gene expression specific to a cellular fraction using allele-specific expression (ASE). Applying ASE analysis to genomic and transcriptomic data from paired nuclear and cytoplasmic fractions of anterior prefrontal cortex, cerebellar cortex and putamen tissues from 4 post-mortem neuropathologically-confirmed control human brains, we demonstrate that a significant proportion of genetic regulation of gene expression occurs post-transcriptionally in the cytoplasm, with genes undergoing this form of regulation more likely to be synaptic. These findings have implications for understanding the structure of gene expression regulation in human brain, and importantly the interpretation of rapidly growing single-nucleus brain RNA-sequencing and eQTL datasets, where cytoplasm-specific regulatory events could be missed.

Indexed as

Gene Expression RegulationGenome-Wide Association StudyHumansRNASolitary NucleusSubcellular FractionsRNA

Identifiers

PMID37620324
PMCPMC10449874
OpenAlexW4386121591

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.