Evidence map›Paper›PMID 38049462›Full record

ArticleScientific data2023

Unveiling Hypothalamic Molecular Signatures via Retrograde Viral Tracing and Single-Cell Transcriptomics.

Muhammad Junaid, Han Kyoung Choe, Kunio Kondoh, Eun Jeong Lee, Su Bin Lim

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Muhammad JunaidDepartment of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, 16499, Korea.
Han Kyoung ChoeDepartment of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, Korea.
Kunio KondohDivision of Endocrinology and Metabolism, Department of Homeostatic Regulation, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan.
Eun Jeong LeeDepartment of Brain Science, Ajou University School of Medicine, Suwon, 16499, Korea. elee@ajou.ac.kr.ORCID 0000-0002-3507-5550
Su Bin LimDepartment of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, 16499, Korea. sblim@ajou.ac.kr.ORCID 0000-0003-1752-7039

Funding

Korea Health Industry Development Institute (KHIDI) HR22C1734National Research Foundation of Korea (NRF) 2020M3A9D8037604National Research Foundation of Korea (NRF) 2020R1A6A1A03043539National Research Foundation of Korea (NRF) 2022R1C1C1004756National Research Foundation of Korea (NRF) 2022R1C1C1005741
6 · The paper itself

Abstract

Despite the importance of hypothalamic neurocircuits in regulating homeostatic and survival-related behaviors, our understanding of the intrinsic molecular identities of neural components involved in these complex multi-synaptic interactions remains limited. In this study, we constructed a Cre recombinase-dependent pseudorabies virus (PRVs) capable of crossing synapses, coupled with transcriptome analysis of single upstream neurons post-infection. By utilizing this retrograde nuclear Connect-seq (nuConnect-seq) approach, we generated a single nuclei RNA-seq (snRNA-seq) dataset of 1,533 cells derived from the hypothalamus of CRH-IRES-Cre (CRH-Cre) mice. To ensure the technical validity of our nuConnect-seq dataset, we employed a label transfer technique against an integrated reference dataset of postnatal mouse hypothalamus comprising 152,524 QC-passed cells. The uniqueness of our approach lies in the integration of diverse datasets for validation, providing a more nuanced diversity of hypothalamic cell types. The presented validated dataset may deepen our understanding of hypothalamic neurocircuits and underscore the essential role of comprehensive integrated transcriptomic data for technical validity.

Indexed as

Herpesvirus 1, SuidTranscriptomeAnimalsGene Expression ProfilingHypothalamusMiceNeurons

Identifiers

PMID38049462
PMCPMC10696032

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Registered trials

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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.