Evidence map›Paper›PMID 35847558›Full record

ArticleiScience2022

Establishment of a reference single-cell RNA sequencing dataset for human pancreatic adenocarcinoma.

Ryota Chijimatsu, Shogo Kobayashi, Yu Takeda, Masatoshi Kitakaze, Shotaro Tatekawa, Yasuko Arao, Mika Nakayama, Naohiro Tachibana, Taku Saito, Daisuke Ennishi and 15 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 59 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

25 authors at 4 institutions in 1 country.

Ryota ChijimatsuDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Shogo KobayashiDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Yu TakedaDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Masatoshi KitakazeDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Shotaro TatekawaDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Yasuko AraoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Mika NakayamaDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Naohiro TachibanaDepartment of Orthopaedic Surgery, Section of Sensory and Motor System Medicine, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Taku SaitoDepartment of Orthopaedic Surgery, Section of Sensory and Motor System Medicine, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Daisuke EnnishiCenter for Comprehensive Genomic Medicine, Okayama University Hospital, Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
Shuta TomidaCenter for Comprehensive Genomic Medicine, Okayama University Hospital, Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
Kazuki SasakiDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Daisaku YamadaDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Yoshito TomimaruDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Hidenori TakahashiDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Daisuke OkuzakiGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan.
Daisuke MotookaGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan.
Takahito OhshiroSANKEN (The Institute of Scientific and Industrial Research), Osaka University, 8-1 Mihogaoka, Osaka, Ibaraki 567-0047, Japan.
Masateru TaniguchiSANKEN (The Institute of Scientific and Industrial Research), Osaka University, 8-1 Mihogaoka, Osaka, Ibaraki 567-0047, Japan.
Yutaka SuzukiLaboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha, Kashiwa-shi, Chiba 272-8562, Japan.
Kazuhiko OgawaDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Masaki MoriDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Yuichiro DokiDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Hidetoshi EguchiDepartment of Gastroenterology, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
Hideshi IshiiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan.
The University of Osaka · JPOkayama University Hospital · JPThe University of Tokyo · JPTokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNAseq) has been used to assess the intra-tumor heterogeneity and microenvironment of pancreatic ductal adenocarcinoma (PDAC). However, previous knowledge is not fully universalized. Here, we built a single cell atlas of PDAC from six datasets containing over 70 samples and >130,000 cells, and demonstrated its application to the reanalysis of the previous bulk transcriptomic cohorts and inferring cell-cell communications. The cell decomposition of bulk transcriptomics using scRNAseq data showed the cellular heterogeneity of PDAC; moreover, high levels of tumor cells and fibroblasts were indicative of poor-prognosis. Refined tumor subtypes signature indicated the tumor cell dynamics in intra-tumor and their specific regulatory network. We further identified functionally distinct tumor clusters that had close interaction with fibroblast subtypes via different signaling pathways dependent on subtypes. Our analysis provided a reference dataset for PDAC and showed its utility in research on the microenvironment of intra-tumor heterogeneity.

Indexed as

CancerCancer systems biologyTranscriptomics

Identifiers

PMID35847558
PMCPMC9283889
OpenAlexW4283271543

What OpenQuestion 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 OpenQuestion graph.