Evidence map›Paper›PMID 40739059›Full record

ArticleNature neuroscience2025

An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus.

Jacqueline R Thompson, Erik D Nelson, Madhavi Tippani, Anthony D Ramnauth, Heena R Divecha, Ryan A Miller, Nicholas J Eagles, Elizabeth A Pattie, Sang Ho Kwon, Svitlana V Bach and 11 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Jacqueline R Thompson *Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Erik D Nelson *Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Madhavi Tippani *Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6465-6418
Anthony D RamnauthLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Heena R DivechaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-1959-0675
Ryan A MillerLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Nicholas J EaglesLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-9808-5254
Elizabeth A PattieLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Sang Ho KwonLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Svitlana V BachLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Uma M KaipaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
Jianing YaoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Christine HouDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joel E KleinmanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-4210-6052
Leonardo Collado-TorresDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shizhong HanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5114-6742
Kristen R MaynardLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-0031-8468
Thomas M HydeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8746-3037
Keri MartinowichLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5237-0789
Stephanie C PageLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA. stephanie.page@libd.org.ORCID http://orcid.org/0000-0002-1951-7398
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. shicks19@jhu.edu.ORCID http://orcid.org/0000-0002-7858-0231

Funding

Regulation of neural activity in fear circuits by promoter IV derived BDNFR01MH105592 · NIMH · LIEBER INSTITUTE, INC. · PI MARTINOWICH, KERI · 2015 to 2024
$5.6M
Training Program in NeuroscienceT32NS091018 · NINDS · JOHNS HOPKINS UNIVERSITY · PI JAMES J KNIERIM, Daniel Hans O'Connor · 2015 to 2026
$4.1M
Spatial registration of gene expression in the human brainU01MH122849 · NIMH · LIEBER INSTITUTE, INC. · PI MARTINOWICH, KERI · 2020 to 2021
$1.7M
Profiling the human dentate gyrus across the lifespan with spatially-resolved transcriptomicsR21AG083328 · NIA · LIEBER INSTITUTE, INC. · PI HICKS, STEPHANIE CARINNE, PAGE, STEPHANIE CERCEO · 2023 to 2023
$509k
NIA NIH HHS R21 AG083328NIMH NIH HHS R01 MH105592NIMH NIH HHS U01 MH122849NINDS NIH HHS T32 NS091018U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH105592U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH122849U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R21AG083328
6 · The paper itself

Abstract

Cell types in the hippocampus with unique morphology, physiology and connectivity serve specialized functions associated with cognition and mood. These cell types are spatially organized, necessitating molecular profiling strategies that retain cytoarchitectural organization. Here we generated spatially-resolved transcriptomics (SRT) and single-nucleus RNA-sequencing (snRNA-seq) data from anterior human hippocampus in ten adult neurotypical donors. Using non-negative matrix factorization (NMF) and label transfer, we integrated these data by defining gene expression patterns within the snRNA-seq data and then inferring expression in the SRT data. These patterns captured transcriptional variation across neuronal cell types and indicated spatial organization of excitatory and inhibitory postsynaptic specializations. Leveraging the NMF and label transfer approach with rodent datasets, we identified putative patterns of activity-dependent transcription and circuit connectivity in the human SRT dataset. Finally, we characterized the spatial organization of NMF patterns corresponding to pyramidal neurons and identified regionally-specific snRNA-seq clusters of the retrohippocampus, subiculum and presubiculum. To make this molecular atlas widely accessible, raw and processed data are freely available, including through interactive web applications.

Indexed as

HippocampusTranscriptomeAdultAtlases as TopicFemaleGene Expression ProfilingHumansMaleMiddle AgedNeuronsSequence Analysis, RNA

Identifiers

PMID40739059
PMCPMC12411265

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.