Evidence map›Paper›PMID 42800954›Full record

ArticlebioRxiv : the preprint server for biology2026

Coordinated dysregulation of modular gene activity in human neuropathologies.

Gugene Kang, Michael C Oldham

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

2 authors.

Gugene KangDepartment of Neurological Surgery, University of California, San Francisco, USA.ORCID 0000-0002-2960-7434
Michael C OldhamDepartment of Neurological Surgery, University of California, San Francisco, USA.ORCID 0000-0001-7633-6932

Funding

Topographic, cell type and molecular pathway characterization ofAlzheimer's disease using single cell transcriptomics and epigenomicsU19AG060909 · NIA · ALLEN INSTITUTE · PI Ed Lein · 2020 to 2026
$83.6M
Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Christine L MacDonald · 2021 to 2026
$80.4M
THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
QUANTITATIVE ANALYSIS OF MICROVASCULAR CHANGES IN THE AGING BRAINP01AG002219 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HAROUTUNIAN, VAHRAM · 1985 to 2009
$19.2M
White Matter Abnormalities in SchizophreniaP50MH066392 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BUXBAUM, JOSEPH D. · 2002 to 2012
$18.6M
Intramural NIH HHS Z01 AG000949NCI NIH HHS R01 CA244621NCI NIH HHS R01 CA292649NHGRI NIH HHS R01 HG008155NIA NIH HHS P01 AG002219NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG072975NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG005138NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG058002NIA NIH HHS R01 AG062335NIA NIH HHS R01 AG074003NIA NIH HHS RF1 AG054012NIA NIH HHS RF1 AG054321NIA NIH HHS RF1 AG062377NIA NIH HHS U01 AG006781NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG061356NIA NIH HHS U19 AG060909NIA NIH HHS U19 AG066567NIDA NIH HHS HHSN271201300031CNIDA NIH HHS U01 DA048279NIGMS NIH HHS T32 GM087237NIMH NIH HHS P50 MH066392NIMH NIH HHS P50 MH084053NIMH NIH HHS P50 MH096891NIMH NIH HHS P50 MH106934NIMH NIH HHS R01 MH075916NIMH NIH HHS R01 MH080405NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH093725NIMH NIH HHS R01 MH094714NIMH NIH HHS R01 MH097276NIMH NIH HHS R01 MH105472NIMH NIH HHS R01 MH105898NIMH NIH HHS R01 MH109677NIMH NIH HHS R01 MH109715NIMH NIH HHS R01 MH109897NIMH NIH HHS R01 MH110905NIMH NIH HHS R01 MH110920NIMH NIH HHS R01 MH110921NIMH NIH HHS R01 MH110926NIMH NIH HHS R01 MH110927NIMH NIH HHS R01 MH110928NIMH NIH HHS R01 MH111721NIMH NIH HHS R01 MH113896NIMH NIH HHS R01 MH117291NIMH NIH HHS R01 MH117292NIMH NIH HHS R01 MH117293NIMH NIH HHS R01 MH123156NIMH NIH HHS R21 MH102791NIMH NIH HHS R21 MH103877NIMH NIH HHS R21 MH105853NIMH NIH HHS R21 MH105881NIMH NIH HHS R21 MH109956NIMH NIH HHS R37 MH057881NIMH NIH HHS R56 MH114899NIMH NIH HHS R56 MH114901NIMH NIH HHS R56 MH114911NIMH NIH HHS U01 MH103339NIMH NIH HHS U01 MH103340NIMH NIH HHS U01 MH103346NIMH NIH HHS U01 MH103365NIMH NIH HHS U01 MH103392NIMH NIH HHS U01 MH116438NIMH NIH HHS U01 MH116441NIMH NIH HHS U01 MH116442NIMH NIH HHS U01 MH116488NIMH NIH HHS U01 MH116489NIMH NIH HHS U01 MH116492NIMH NIH HHS U01 MH119509NIMH NIH HHS U01 MH122590NIMH NIH HHS U01 MH122591NIMH NIH HHS U01 MH122592NIMH NIH HHS U01 MH122849NINDS NIH HHS R01 NS127187NINDS NIH HHS U01 NS110453NINDS NIH HHS UG3 NS115064NINDS NIH HHS UH3 NS115064
6 · The paper itself

Abstract

Understanding which genes are reproducibly dysregulated in which cell types is foundational knowledge for efforts to slow or reverse pathologies. For neuropathologies, such efforts rely primarily on differential expression analysis of single-nucleus RNA-seq (snRNA-seq) data. However, this strategy suffers from experimental and statistical challenges that limit marker gene reproducibility. We describe a novel strategy called Covariation Projection Analysis (

Identifiers

PMID42800954
PMCPMC13613488

What Socratic 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 Socratic graph.