Evidence mapPaperPMID 42214752Full record

ArticleMolecular & cellular proteomics : MCP2026

π-SeqOmics: A Sequential Workflow for Genomic, Transcriptomic, Proteomic, and Phosphoproteomic Profiling From Biopsy-Scale Samples.

Shuyi Feng, Xuehui Deng, Ying Xu, Baoyi Qin, Chuanxi Huang, Qingjing Chen, Fuchu He, Dongxue Wang

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. 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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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Shuyi FengState Key Laboratory of Medical Proteomics, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China; International Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen, China.
Xuehui DengInternational Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ying XuInternational Academy of Phronesis Medicine, Guangzhou, Guangdong, China.
Baoyi QinInternational Academy of Phronesis Medicine, Guangzhou, Guangdong, China.
Chuanxi HuangInternational Academy of Phronesis Medicine, Guangzhou, Guangdong, China.
Qingjing ChenState Key Laboratory of Medical Proteomics, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China; International Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fuchu HeState Key Laboratory of Medical Proteomics, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China; International Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen, China. Electronic address: hefc@bmi.ac.cn.
Dongxue WangState Key Laboratory of Medical Proteomics, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China; International Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Beijing Proteome Research Center, Beijing, China. Electronic address: wang_dongxue@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive multiomics profiling from a single limited specimen remains challenging, as current extraction methods are difficult to standardize and often compromise balanced recovery of nucleic acids and proteins. Here, we developed π-SeqOmics, a phenol-free workflow established through systematic benchmarking for the sequential isolation of DNA, RNA, and proteins from a single specimen, enabling integrated genomic, transcriptomic, proteomic, and phosphoproteomic analyses. Compared with conventional extraction and in-solution digestion workflows, π-SeqOmics achieves comparable proteomic and phosphoproteomic depth and reproducibility while preserving high-quality DNA and RNA for sequencing. The workflow performed robustly across a wide input range (5 × 10

Indexed as

GenomicsPhosphoproteinsProteomicsTranscriptomeAnimalsBiopsyGene Expression ProfilingHumansMiceMultiomicsProteomeReproducibility of ResultsWorkflowPhosphoproteinsProteomegenomeintegrated workflowphosphoproteomeproteometranscriptome

Identifiers

PMID42214752
PMCPMC13312471

What Socratic holds

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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.