Evidence map›Paper›PMID 40517217›Full record

ArticleApplied microbiology and biotechnology2025

Screening signal peptides from Bacillus thuringiensis secretome for heterologous protein secretion.

Jianbo Yang, Yan Xia, Li Zhu, Zhiwen Wang, Fuping Song, Shuyuan Guo

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Jianbo YangKey Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Yan XiaKey Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Li ZhuState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Biotechnology, Beijing, 100071, China.
Zhiwen WangKey Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Fuping SongState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Haidian District, Beijing, People's Republic of China. fpsong@ippcaas.cn.
Shuyuan GuoKey Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China. guosy@bit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient secretion of heterologous proteins is crucial for applications in industrial and biomedical fields. Selecting appropriate signal peptides and bacterial strains is critical for successful protein expression and export. Bacillus thuringiensis, known for its robust secretion capabilities within the Bacillus genus, shows promise as an ideal host for this purpose. We performed genome-based bioinformatic analysis of B. thuringiensis HD73. A total of 525 proteins were predicted to contain signal peptides, exceeding those in other Bacillus species. The extracellular proteome of B. thuringiensis HD73 was analyzed via LC-MS/MS, identifying 100 secreted proteins. A library of 30 signal peptides was constructed by integrating genome-based predictions with experimental secretome data. Using this library, green fluorescent protein secretory expression systems were developed in the acrystalliferous mutant strain B. thuringiensis HD73

Indexed as

Bacillus thuringiensisBacterial ProteinsProtein Sorting SignalsSecretomeCarboxylic Ester HydrolasesChromatography, LiquidComputational BiologyGreen Fluorescent ProteinsProteomeRecombinant ProteinsTandem Mass SpectrometryBacterial ProteinsCarboxylic Ester HydrolasesGreen Fluorescent ProteinsProtein Sorting SignalsProteomeRecombinant ProteinsBacillus thuringiensisCutinaseSecreted expressionSecretomeSignal peptide library

Identifiers

PMID40517217
PMCPMC12167346

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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.