Evidence map›Paper›PMID 35325072›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2022

Spatial and single-cell transcriptome analysis reveals changes in gene expression in response to drug perturbation in rat kidney.

Naoki Onoda, Ayako Kawabata, Kumi Hasegawa, Megumi Sakakura, Itaru Urakawa, Masahide Seki, Junko Zenkoh, Ayako Suzuki, Yutaka Suzuki

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Spatial transcriptomics in health and disease.Nature reviews. Nephrology · 2024
    Review
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  10. Article
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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

9 authors at 2 institutions in 1 country.

Naoki OnodaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0882, Japan.
Ayako KawabataResearch Core Function Laboratories, Research Unit, R&D Division, Kyowa Kirin Co., Ltd., Machida-shi, Tokyo 194-8533, Japan.
Kumi HasegawaBiomedical Science Research Laboratories 1, Research Unit, R&D Division, Kyowa Kirin Co., Ltd., Machida-shi, Tokyo 194-8533, Japan.
Megumi SakakuraResearch Core Function Laboratories, Research Unit, R&D Division, Kyowa Kirin Co., Ltd., Machida-shi, Tokyo 194-8533, Japan.
Itaru UrakawaResearch Core Function Laboratories, Research Unit, R&D Division, Kyowa Kirin Co., Ltd., Machida-shi, Tokyo 194-8533, Japan.
Masahide SekiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0882, Japan.ORCID 0000-0001-6091-8698
Junko ZenkohDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0882, Japan.
Ayako SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0882, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Chiba 277-0882, Japan.ORCID 0000-0002-7559-5139
Kyowa Kirin (Japan) · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kidney is a complex organ that consists of various types of cells. It is occasionally difficult to resolve molecular alterations and possible perturbations that the kidney experiences due to drug-induced damage. In this study, we performed spatial and single-cell transcriptome analysis of rat kidneys and constructed a precise rat renal cell atlas with spatial information. Using the constructed catalogue, we were able to characterize cells of several minor populations, such as macula densa or juxtaglomerular cells. Further inspection of the spatial gene expression data allowed us to identify the upregulation of genes involved in the renin regulating pathway in losartan-treated populations. Losartan is an angiotensin II receptor antagonist drug, and the observed upregulation of the renin pathway-related genes could be due to feedback from the hypotensive action of the drug. Furthermore, we found spatial heterogeneity in the response to losartan among the glomeruli. These results collectively indicate that integrated single-cell and spatial gene expression analysis is a powerful approach to reveal the detailed associations between the different cell types spanning the complicated renal compartments.

Indexed as

LosartanReninAnimalsGene ExpressionGene Expression ProfilingKidneyRatsLosartanReninkidneylosartanratsingle-cell transcriptomespatial transcriptome

Identifiers

PMID35325072
PMCPMC9014450
OpenAlexW4220854548

What OpenQuestion holds

Textmetadata
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.