Evidence map›Paper›PMID 42751418›Full record

ArticleEndoscopic ultrasound

Establishing a single-cell RNA sequencing workflow using EUS-guided fine-needle aspiration for pancreatic ductal adenocarcinoma.

Yao Zhang, Xiangyi He, Xinchen Lu, Zonghao Liu, Tingting Gong, Tianyu Zhang, Lei Liu, Ling Zhang, Minmin Zhang, Chunhua Zhou and 1 more

Abstract read
In one paragraph

Article in Endoscopic ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Yao ZhangDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiangyi HeDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinchen LuDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zonghao LiuDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tingting GongDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianyu ZhangDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei LiuDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ling ZhangDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Minmin ZhangDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunhua ZhouDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Duowu ZouDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: No unified consensus exists regarding standardized protocols for single-cell RNA sequencing (scRNA-seq) analysis of samples obtained Methods: PDAC samples obtained Results: Compared with surgical resection-derived samples, EUS-FNA-derived samples showed lower transcript abundance and lower mitochondrial transcript percentages, while exhibiting comparable detected gene numbers, estimated doublet proportions, and ambient RNA contamination scores. These findings suggest that EUS-FNA-derived samples can generate analyzable single-cell transcriptomic profiles under the workflow used in this study. Differences in recovered cell-type composition were observed between sampling methods: EUS-FNA-derived samples showed relatively higher proportions of immune cells, whereas surgical resection-derived samples showed relatively higher recovery of several nonimmune cell populations. These differences may reflect both biological characteristics and sampling-related technical effects. Conclusions: This study supports the feasibility of scRNA-seq analysis using EUS-FNA-derived PDAC samples and suggests that EUS-FNA and surgical resection samples may provide complementary information. Further validation in larger, preferably paired prospective cohorts is warranted.

Indexed as

EUS-FNApancreatic ductal adenocarcinomasingle-cell RNA sequencingsurgical resection samples

Identifiers

PMID42751418
PMCPMC13581387

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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.