Evidence map›Paper›PMID 38765961›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Divergent landscapes of A-to-I editing in postmortem and living human brain.

Miguel Rodriguez de Los Santos, Brian H Kopell, Ariela Buxbaum Grice, Gauri Ganesh, Andy Yang, Pardis Amini, Lora E Liharska, Eric Vornholt, John F Fullard, Pengfei Dong and 29 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Miguel Rodriguez de Los SantosIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-2126-7658
Brian H KopellIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Ariela Buxbaum GriceIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Gauri GaneshIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Andy YangIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Pardis AminiIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Lora E LiharskaIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Eric VornholtIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
John F FullardIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Pengfei DongIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Eric ParkIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Sarah ZipkowitzIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Deepak A KajiIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Ryan C ThompsonIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Donjing LiuIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
You Jeong ParkIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Esther ChengIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Kimia ZiafatIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Emily MoyaIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Brian FennessyIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Lillian WilkinsIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Hannah SilkIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Lisa M LinaresIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Brendan SullivanIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Vanessa CohenIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Prashant KotaIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Claudia FengIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Jessica S JohnsonIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Marysia-Kolbe RiederIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Joseph ScarpaIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Girish N NadkarniIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Minghui WangIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Bin ZhangIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Pamela SklarIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Noam D BeckmannIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Eric E SchadtIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Panos RoussosIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Alexander W CharneyIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Michael S BreenIcahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-6739-939X

Funding

A multiscale investigation of the living human brainR01AG069976 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W · 2020 to 2024
$3.1M
Integrative genomic analysis of adenosine-to-inosine editing in Alzheimer's diseaseR03AG080170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BREEN, MICHAEL S · 2023 to 2024
$335k
NIA NIH HHS R01 AG069976NIA NIH HHS R03 AG080170
6 · The paper itself

Abstract

Adenosine-to-inosine (A-to-I) editing is a prevalent post-transcriptional RNA modification within the brain. Yet, most research has relied on postmortem samples, assuming it is an accurate representation of RNA biology in the living brain. We challenge this assumption by comparing A-to-I editing between postmortem and living prefrontal cortical tissues. Major differences were found, with over 70,000 A-to-I sites showing higher editing levels in postmortem tissues. Increased A-to-I editing in postmortem tissues is linked to higher

Identifiers

PMID38765961
PMCPMC11100843

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.