Evidence map›Paper›PMID 37961404›Full record

ArticlebioRxiv : the preprint server for biology2023

A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease.

Qi Wang, Jerry Antone, Eric Alsop, Rebecca Reiman, Cory Funk, Jaroslav Bendl, Joel T Dudley, Winnie S Liang, Timothy L Karr, Panos Roussos and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 11 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 1 country.

Jerry Antone
Eric Alsop
Rebecca Reiman
Cory Funk
Jaroslav Bendl
Joel T Dudley
Winnie S Liang
Timothy L Karr
Panos Roussos
David A Bennett
Philip L De Jager
Thomas G Beach
Kendall Van Keuren-Jensen
Benjamin P ReadheadORCID 0000-0003-4353-9965
Arizona State University · USTranslational Genomics Research Institute · USBanner Sun Health Research Institute · USIcahn School of Medicine at Mount Sinai · USAlzheimer's Association · USColumbia University Irving Medical Center · USInstitute for Systems Biology · USRush University Medical Center · US

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI HEATHER Allyson BIMONTE-NELSON · 2021 to 2026
$24.9M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072980
6 · The paper itself

Abstract

The emergence of technologies that can support high-throughput profiling of single cell transcriptomes offers to revolutionize the study of brain tissue from persons with and without Alzheimer's disease (AD). Integration of these data with additional complementary multiomics data such as genetics, proteomics and clinical data provides powerful opportunities to link observed cell subpopulations and molecular network features within a broader disease-relevant context. We report here single nucleus RNA sequencing (snRNA-seq) profiles generated from superior frontal gyrus cortical tissue samples from 101 exceptionally well characterized, aged subjects from the Banner Brain and Body Donation Program in combination with whole genome sequences. We report findings that link common AD risk variants with

Identifiers

PMID37961404
PMCPMC10634692
OpenAlexW4387867133

What OpenQuestion holds

Textmetadata
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.