Evidence map›Paper›PMID 42201804›Full record

ArticleJournal of proteome research2026

Automated Microvolume Secretome Proteomics Enables Sensitive and Deep Profiling and Noninvasive Single-Embryo Analysis.

Jingsheng Xie, Jiwei Wang, Yuhe Ge, Zilu Ye, Hong Zhang

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Jingsheng XieThe Reproductive Medicine Center, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Jiwei WangThe Reproductive Medicine Center, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yuhe GeState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China.
Zilu YeState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China.ORCID 0000-0001-8829-6579
Hong ZhangThe Reproductive Medicine Center, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells continuously deliver proteins into the extracellular space, forming the secretome, which provides a dynamic, biologically informative, and noninvasive readout of cellular functional states. However, conventional secretome proteomics typically requires large sample volumes greater than 2 mL, delivers limited proteome depth, and supports low processing throughput of less than 30 samples a day. Here, we developed an automated microvolume secretome profiling workflow that integrates optimized sample pretreatment and magnetic bead-based proteome sample preparation. This workflow enables efficient secretome profiling from less than 20 μL of conditioned medium, achieving deep proteome coverage of over 3000 proteins with a sample processing throughput exceeding 96 samples per day. Using this workflow, we achieved high-depth, time-resolved secretome profiling from microscale culture medium, capturing temporal changes of secretome. We further applied the method to single mouse embryo culture medium and consistently identified more than 200 secretome proteins per embryo. Notably, Sdc4 and Ooep were consistently observed across developmental stages, highlighting the potential for noninvasive secretome profiling at the single-embryo level. Together, this work establishes a robust and scalable framework for high-depth secretome profiling from ultralow-input samples, broadening the scope of LC-MS-based analysis to microscale and longitudinal biological applications.

Indexed as

Embryo, MammalianProteomeProteomicsSecretomeAnimalsCulture Media, ConditionedMiceCulture Media, ConditionedProteomeautomationnon-invasive biopsyproteomicssecretomesingle-embryo

Identifiers

PMID42201804
PMCPMC13339834

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Registered trials

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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.