Evidence map›Paper›PMID 38036784›Full record

ArticleNature genetics2023

A global view of aging and Alzheimer's pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains.

Andras Sziraki, Ziyu Lu, Jasper Lee, Gabor Banyai, Sonya Anderson, Abdulraouf Abdulraouf, Eli Metzner, Andrew Liao, Jason Banfelder, Alexander Epstein and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 72 citations in OpenAlex.

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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

17 authors at 4 institutions in 1 country.

Andras Sziraki *Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Ziyu Lu *Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Jasper Lee *Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Gabor BanyaiLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-3195-4363
Sonya AndersonDepartment of Pathology and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Abdulraouf AbdulraoufLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Eli MetznerLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-8957-9068
Andrew LiaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Jason BanfelderHigh Performance Computing Resource Center, The Rockefeller University, New York, NY, USA.
Alexander EpsteinLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-7784-9040
Chloe SchaeferLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0008-2913-9352
Zihan XuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0008-9317-9279
Zehao ZhangLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-7568-5775
Li GanHelen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0003-4600-275X
Peter T NelsonDepartment of Pathology and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Wei ZhouLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA. wzhou@rockefeller.edu.ORCID 0000-0003-4236-4091
Junyue CaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA. jcao@rockefeller.edu.ORCID 0000-0003-4097-489X
Rockefeller University · USTri-Institutional PhD Program in Chemical Biology · USUniversity of Kentucky · USCornell University · US

Funding

Strategies for Targeting Astrocyte Reactivity in Alzheimer's Disease and Related DementiasP01AG078116 · NIA · UNIVERSITY OF KENTUCKY · PI Christopher Mark Norris · 2022 to 2026
$25.0M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Maladaptive antiviral pathways in Alzheimer's diseaseR01AG072758 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAN, LI · 2021 to 2025
$4.1M
Development of novel genomic approaches for profiling cellular temporal-spatial dynamics of neurogenesis in Aging and Alzheimer's diseaseR01AG076932 · NIA · ROCKEFELLER UNIVERSITY · PI Junyue Cao · 2022 to 2026
$4.0M
Single cell dynamics on a whole organism scaleDP2HG012522 · NHGRI · ROCKEFELLER UNIVERSITY · PI CAO, JUNYUE · 2021 to 2024
$2.5M
NHGRI NIH HHS DP2 HG012522NHGRI NIH HHS RM1 HG011014NIA NIH HHS P01 AG078116NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG072758NIA NIH HHS R01 AG076932
6 · The paper itself

Abstract

Conventional methods fall short in unraveling the dynamics of rare cell types related to aging and diseases. Here we introduce EasySci, an advanced single-cell combinatorial indexing strategy for exploring age-dependent cellular dynamics in the mammalian brain. Profiling approximately 1.5 million single-cell transcriptomes and 400,000 chromatin accessibility profiles across diverse mouse brains, we identified over 300 cell subtypes, uncovering their molecular characteristics and spatial locations. This comprehensive view elucidates rare cell types expanded or depleted upon aging. We also investigated cell-type-specific responses to genetic alterations linked to Alzheimer's disease, identifying associated rare cell types. Additionally, by profiling 118,240 human brain single-cell transcriptomes, we discerned cell- and region-specific transcriptomic changes tied to Alzheimer's pathogenesis. In conclusion, this research offers a valuable resource for probing cell-type-specific dynamics in both normal and pathological aging.

Indexed as

Alzheimer DiseaseAgingAnimalsBrainGene Expression ProfilingHumansMammalsMiceTranscriptome

Identifiers

PMID38036784
PMCPMC10703679
OpenAlexW4389174400

What OpenQuestion holds

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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.