Evidence map›Paper›PMID 41876868›Full record

ArticleCurrent microbiology2026

Quantitative Proteomic Analysis of Differential Proteins from Acinetobacter sp. HC8-3S Responses to Hydrocarbons.

Yachao Kong, Jun Min, Yuhua Liu, Suyun Fang, Yanyan Huang, Yanhong Xu, Xiaoke Hu

Abstract read
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In one paragraph

Article in Current microbiology, 2026. 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

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

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

7 authors.

Yachao KongKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Jun MinKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Yuhua LiuKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Suyun FangKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Yanyan HuangKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Yanhong XuKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
Xiaoke HuKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China. xkhu@yic.ac.cn.

Funding

National Natural Science Foundation of China 42306141Natural Science Foundation of Shandong Province ZR2023QD189Taishan Scholar Project of Shandong Province Tspd20210317
6 · The paper itself

Abstract

Bioremediation has emerged as a crucial strategy for addressing oil pollution, with proteomics providing direct insights into microbial response to hydrocarbon exposure. However, the molecular mechanisms underlying hydrocarbon response and degradation in Acinetobacter species remain poorly understood. In this study, quantitative proteomic analysis using iTRAQ technology was performed on Acinetobacter sp. HC8-3 S following exposure to hydrocarbons for 5 days. A total 87 differentially expressed proteins were identified, with 72 upregulated and 15 downregulated. These proteins were classified into 12 functional categories based on KEGG pathways and relevant literature, with a significant portion involved in the fatty acid degradation pathway. Notably, alkane degradation and fatty acid oxidation genes were highlighted as key contributors to hydrocarbons degradation. These findings confirm the ability of strain HC8-3 S to degrade n-alkanes, underscoring its potential application in the bioremediation of crude oil-contaminated environments. The integrative analysis of proteomic data and functional genes provides valuable insights into the adaptive mechanism of Acinetobacter sp. HC8-3 S and offers promising directions for developing sustainable solutions for hydrocarbon pollution.

Indexed as

AcinetobacterBacterial ProteinsHydrocarbonsProteomeBiodegradation, EnvironmentalFatty AcidsGene Expression Regulation, BacterialProteomicsBacterial ProteinsFatty AcidsHydrocarbonsProteome

Identifiers

PMID41876868

What OpenQuestion holds

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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.