Evidence map›Paper›PMID 41626552›Full record

ArticleInnovation (Cambridge (Mass.))2025

One-step labeling with a fluorinated porphyrin-based probe enables

Zhiyong Liu, Shiyun Ma, Yuxiao Zhang, Jun Yao, Haojie Lu

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2025. 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
–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

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.

Zhiyong LiuInstitutes of Biomedical Sciences and Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Shiyun MaDepartment of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.
Yuxiao ZhangInstitutes of Biomedical Sciences and Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jun YaoInstitutes of Biomedical Sciences and Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Haojie LuInstitutes of Biomedical Sciences and Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Profiling the thiol proteome in live cells is a critical yet challenging task for elucidating oxidative stress-related processes due to the scarcity of multifunctional probes that directly integrate fluorescence imaging with chemical proteomics. Here, we constructed a fluorescent, enrichable, and mass spectrometry-compatible probe based on fluorinated porphyrin, termed the FP probe. By eliminating the need for attaching separate reporter modules after probe labeling, the FP probe not only directly visualizes the thiol proteome in cells but also enables the visualization of thiol proteome enrichment for reliable site identification by mass spectrometry. This capability drives the development of a visualization-guided proteomics (VGP) workflow, which seamlessly merges fluorescence imaging with chemical proteomics. In addition, the FP probe demonstrated an advantage in the capture of cysteines with low solvent accessibility. We successfully identified Cys818 of AP2B1, a residue with a relative solvent accessible area of 0.02 that is sensitive to the protein interactions induced by diamide stress in live cells. Our probe may pave the way for the design of multifunctional probes and become an important tool for applications including target identification, drug discovery, and diagnostics.

Indexed as

Chemical toolsFluorescent mass probeFluorous tagProteomics

Identifiers

PMID41626552
PMCPMC12859668

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.