Evidence map›Paper›PMID 42331802›Full record

ArticleNature communications2026

Automated in situ microfluidic Random-seq for robust single-nucleus and spatial total RNA profiling of diverse FFPE specimens.

Haide Chen, Yu-Sheng Chen, Shunji Zhang, Jiaye Chen, Hao Yang, Tongqiang Fan, Jianfei Zheng, Yuan Liao, Qian Liang, Yongcheng Wang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Haide Chen *Department of Laboratory Medicine of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
Yu-Sheng Chen *M20 Genomics, Hangzhou, China.
Shunji Zhang *Department of Laboratory Medicine of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
Jiaye Chen *Department of Laboratory Medicine of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
Hao YangM20 Genomics, Hangzhou, China.
Tongqiang FanM20 Genomics, Hangzhou, China.
Jianfei ZhengM20 Genomics, Hangzhou, China.
Yuan LiaoDepartment of Laboratory Medicine of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China. 0619834@zju.edu.cn.
Qian LiangM20 Genomics, Hangzhou, China. qian.liang@m20genomics.com.
Yongcheng WangDepartment of Laboratory Medicine of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China. yongcheng@zju.edu.cn.ORCID http://orcid.org/0000-0003-2820-4243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formalin-fixed paraffin-embedded (FFPE) tissues are indispensable for clinical- pathological assessment, yet widespread nucleic acid degradation severely hinders high-throughput molecular profiling. Current RNA sequencing and in situ hybridization approaches for FFPE materials suffer from inconsistent performance across tissue types and preservation conditions, restricting standardized, automated transcriptome analysis. Here, we show an in situ microfluidic Random-seq (imRandom-seq) platform that enables unified bulk, single-nucleus, and spatial total RNA profiling of FFPE specimens. Using specially designed random primers for efficient transcript capture and total transcriptome analysis, single-nucleus imRandom-seq outperforms traditional snRNA-seq and probe-based 10X Flex, with enhanced gene detection, reduced nuclear loss, and biologically reasonable cell-type annotation. Validated in difficult samples with high enzymatic activity and fragmented RNA, this in situ microfluidics-driven workflow features low manual operation, broad tissue compatibility, and robust data quality, providing a reliable and scalable tool for FFPE transcriptomic research.

Indexed as

Cell NucleusGene Expression ProfilingMicrofluidicsRNAAnimalsFormaldehydeHumansParaffin EmbeddingSequence Analysis, RNATissue FixationFormaldehydeRNA

Identifiers

PMID42331802
PMCPMC13470330

What Socratic holds

Textmetadata
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 Socratic graph.