Evidence map›Paper›PMID 38712198›Full record

ArticlebioRxiv : the preprint server for biology2024

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

21 authors.

Jacqueline R ThompsonDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-1365-8536
Erik D NelsonLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-8477-0982
Madhavi TippaniLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-6465-6418
Anthony D RamnauthLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-5373-0857
Heena R DivechaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-1959-0675
Ryan A MillerLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0003-3477-7443
Nicholas J EaglesLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-9808-5254
Elizabeth A PattieLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0009-0009-5729-4971
Sang Ho KwonLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-5328-0956
Svitlana V BachLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0003-1134-9585
Uma M KaipaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-4931-1753
Jianing YaoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0009-0004-8213-2118
Christine HouDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0009-0001-5350-0629
Joel E KleinmanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-4210-6052
Leonardo Collado-TorresDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-2140-308X
Shizhong HanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-5114-6742
Kristen R MaynardLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0003-0031-8468
Thomas M HydeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-8746-3037
Keri MartinowichLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-5237-0789
Stephanie C PageLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0002-1951-7398
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 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
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 MH122849
6 · The paper itself

Abstract

The hippocampus contains many unique cell types, which serve the structure's specialized functions, including learning, memory and cognition. These cells have distinct spatial organization, morphology, physiology, and connectivity, highlighting the importance of transcriptome-wide profiling strategies that retain cytoarchitectural organization. Here, we generated spatially-resolved transcriptomics (SRT) and single-nucleus RNA-sequencing (snRNA-seq) data from adjacent tissue sections of the anterior human hippocampus in ten adult neurotypical donors to define molecular profiles for hippocampal cell types and spatial domains. Using non-negative matrix factorization (NMF) and label transfer, we integrated these data by defining gene expression patterns within the snRNA-seq data and inferring their expression in the SRT data. We identified NMF patterns that captured transcriptional variation across neuronal cell types and indicated that the response of excitatory and inhibitory postsynaptic specializations were prioritized in different SRT spatial domains. We used the NMF and label transfer approach to leverage existing rodent datasets, identifying patterns of activity-dependent transcription and subpopulations of dentate gyrus granule cells in our SRT dataset that may be predisposed to participate in learning and memory ensembles. Finally, we characterized the spatial organization of NMF patterns corresponding to non-

Indexed as

hippocampuspostmortem human brainsingle-nucleus RNA-sequencingspatially-resolved transcriptomics

Identifiers

PMID38712198
PMCPMC11071618

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.