ArticleNature communications2026
Automated in situ microfluidic Random-seq for robust single-nucleus and spatial total RNA profiling of diverse FFPE specimens.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Automated in situ microfluidic Random-seq for robust single-nucleus and spatial total RNA profiling of diverse FFPE specimens.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.