Evidence map›Paper›PMID 41174236›Full record

ArticleNature chemical biology2026

A gasdermin-based life-death evolution system for reprogramming protease specificity.

Ziqi Gao, Tianzhen Li, Hao Ye, William Shu Ching Ngai, Huijie Wang, Peng R Chen, Jie Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 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
–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

7 authors.

Ziqi Gao *Department of Chemistry, Research Center for Chemical Biology and Omics Analysis, Guangdong Provincial Key Laboratory of Catalysis, College of Science, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0001-5759-5664
Tianzhen Li *Department of Chemistry, Research Center for Chemical Biology and Omics Analysis, Guangdong Provincial Key Laboratory of Catalysis, College of Science, Southern University of Science and Technology, Shenzhen, China.
Hao Ye *Department of Chemistry, Research Center for Chemical Biology and Omics Analysis, Guangdong Provincial Key Laboratory of Catalysis, College of Science, Southern University of Science and Technology, Shenzhen, China.
William Shu Ching NgaiShenzhen Bay Laboratory, Shenzhen, China.
Huijie WangDepartment of Chemistry, Research Center for Chemical Biology and Omics Analysis, Guangdong Provincial Key Laboratory of Catalysis, College of Science, Southern University of Science and Technology, Shenzhen, China.
Peng R ChenShenzhen Bay Laboratory, Shenzhen, China. pengchen@pku.edu.cn.ORCID 0000-0002-0402-7417
Jie WangDepartment of Chemistry, Research Center for Chemical Biology and Omics Analysis, Guangdong Provincial Key Laboratory of Catalysis, College of Science, Southern University of Science and Technology, Shenzhen, China. wangjie@sustech.edu.cn.ORCID 0000-0001-7602-5050

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22077059, 22277048, 22477053, 92253304
6 · The paper itself

Abstract

Reprogramming the specificity of proteases toward alternative target sequences could enable an array of exciting applications, ranging from proteome editing to therapeutic interventions. Here we report an in vivo life-death selection system for protease reprogramming using the toxic N-terminal domain of gasdermin D (GD-N) protein as a selection marker. The approach is a modular system that can be used to cover the protease mutational diversity in the billions through only a few cycles of directed evolution. By inserting the desired cleavage sequence into the loop region of the GD-N protein, which is toxic to host bacteria cells, the system selects for efficient substrate cleavage-rendering GD-N nontoxic-by enrichment of bacteria in liquid culture. Using the tobacco etch virus protease (TEVp) and corresponding substrate sequence as a model, we demonstrated that our platform could select and enrich an efficient protease variant millionfold after a single round of selection. We also evolve TEVp to cut sequences on target proteins with known pathological roles.

Indexed as

Directed Molecular EvolutionEndopeptidasesApoptosis Regulatory ProteinsGasderminsHumansIntracellular Signaling Peptides and ProteinsPhosphate-Binding ProteinsSubstrate SpecificityApoptosis Regulatory ProteinsEndopeptidasesGasderminsGSDMD protein, humanIntracellular Signaling Peptides and ProteinsPhosphate-Binding ProteinsTEV protease

Identifiers

PMID41174236

What OpenQuestion 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 OpenQuestion graph.