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

被引：37

作者：

Chijimatsu, Ryota ^{[1
,2
]}

Kobayashi, Shogo ^{[3
]}

Takeda, Yu ^{[3
]}

Kitakaze, Masatoshi ^{[3
]}

Tatekawa, Shotaro ^{[4
]}

Arao, Yasuko ^{[1
]}

Nakayama, Mika ^{[1
]}

Tachibana, Naohiro ^{[5
]}

Saito, Taku ^{[5
]}

Ennishi, Daisuke ^{[2
]}

Tomida, Shuta ^{[2
]}

Sasaki, Kazuki ^{[3
]}

Yamada, Daisaku ^{[3
]}

Tomimaru, Yoshito ^{[3
]}

Takahashi, Hidenori ^{[3
]}

Okuzaki, Daisuke ^{[6
]}

Motooka, Daisuke ^{[6
]}

Ohshiro, Takahito ^{[7
]}

Taniguchi, Masateru ^{[7
]}

Suzuki, Yutaka ^{[8
]}

Ogawa, Kazuhiko ^{[4
]}

Mori, Masaki ^{[3
,9
]}

Doki, Yuichiro ^{[3
]}

Eguchi, Hidetoshi ^{[3
]}

Ishii, Hideshi ^{[1
]}

机构：

[1] Osaka Univ, Dept Med Data Sci, Ctr Med Innovat & Translat Res, Grad Sch Med, Yamadaoka 2-2, Suita, Osaka 5650871, Japan

[2] Okayama Univ Hosp, Ctr Comprehens Genom Med, Kita Ku, Shikata Cho, Okayama 7008558, Japan

[3] Osaka Univ, Dept Gastroenterol, Grad Sch Med, Yamadaoka 2-2, Suita, Osaka 5650871, Japan

[4] Osaka Univ, Dept Radiat Oncol, Grad Sch Med, Yamadaoka 2-2, Suita, Osaka 5650871, Japan

[5] Univ Tokyo, Dept Orthopaed Surg, Sect Sensory & Motor Syst Med, Sch Med,Bunkyo Ku, Tokyo 1138655, Japan

[6] Osaka Univ, Genome Informat Res Ctr, Res Inst Microbial Dis, Suita, Osaka 5650871, Japan

[7] Osaka Univ, SANKEN Inst Sci & Ind Res, 8-1 Mihogaoka, Osaka, Ibaraki 5670047, Japan

[8] Univ Tokyo, Lab Syst Genom, Dept Computat Biol & Med Sdences, Grad Sch Frontier Sci, Kashiwa, Chiba 2728562, Japan

[9] Tokai Univ, Grad Sch Med, Isehara, Kanagawa 2591193, Japan

来源：

ISCIENCE | 2022年 / 25卷 / 08期

关键词：

TO-MESENCHYMAL TRANSITION; DUCTAL ADENOCARCINOMA; SUBTYPES; CANCER; COMMUNICATION; EXPRESSION; INFERENCE;

D O I：

10.1016/j.isci.2022.104659

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：22

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