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探索美国典型培养物保藏中心13032的分泌蛋白组。

Exploring the secretome of ATCC 13032.

作者信息

Balasubramanian Suvasini, Køhler Julie Bonne, Jers Carsten, Jensen Peter Ruhdal, Mijakovic Ivan

机构信息

Microbial Biotechnology and Biorefining, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.

出版信息

Front Bioeng Biotechnol. 2024 Feb 13;12:1348184. doi: 10.3389/fbioe.2024.1348184. eCollection 2024.

Abstract

The demand for alternative sources of food proteins is increasing due to the limitations and challenges associated with conventional food production. Advances in biotechnology have enabled the production of proteins using microorganisms, thus prompting the exploration of attractive microbial hosts capable of producing functional proteins in high titers. is widely used in industry for the production of amino acids and has many advantages as a host organism for recombinant protein production. However, its performance in this area is limited by low yields of target proteins and high levels of native protein secretion. Despite representing a challenge for heterologous protein production, the secretome has not been fully characterized. In this study, state-of-the-art mass spectrometry-based proteomics was used to identify and analyze the proteins secreted by . Both the wild-type strain and a strain that produced and secreted a recombinant β-lactoglobulin protein were analyzed. A total of 427 proteins were identified in the culture supernatants, with 148 predicted to possess a secretion signal peptide. MS-based proteomics on the secretome enabled a comprehensive characterization and quantification (based on abundance) of the secreted proteins through label-free quantification (LFQ). The top 12 most abundant proteins accounted for almost 80% of the secretome. These are uncharacterized proteins of unknown function, resuscitation promoting factors, protein PS1, Porin B, ABC-type transporter protein and hypothetical membrane protein. The data can be leveraged for protein production by, e.g., utilizing the signal peptides of the most abundant proteins to improve secretion of heterologous proteins. In addition, secretory stress can potentially be alleviated by inactivating non-essential secreted proteins. Here we provide targets by identifying the most abundant, secreted proteins of which majority are of unknown function. The data from this study can thus provide valuable insight for researchers looking to improve protein secretion and optimize as a host for secretory protein production.

摘要

由于传统食品生产存在的局限性和挑战,对替代食物蛋白来源的需求正在增加。生物技术的进步使得利用微生物生产蛋白质成为可能,从而促使人们探索能够高效生产功能蛋白的有吸引力的微生物宿主。[具体微生物名称]在工业上广泛用于生产氨基酸,作为重组蛋白生产的宿主生物体具有许多优势。然而,其在这一领域的表现受到目标蛋白产量低和天然蛋白分泌水平高的限制。尽管对异源蛋白生产来说是一项挑战,但[具体微生物名称]的分泌蛋白质组尚未得到充分表征。在本研究中,使用了基于质谱的先进蛋白质组学技术来鉴定和分析[具体微生物名称]分泌的蛋白质。对野生型菌株和产生并分泌重组β-乳球蛋白的菌株都进行了分析。在培养上清液中总共鉴定出427种蛋白质,其中148种被预测具有分泌信号肽。基于质谱的分泌蛋白质组学通过无标记定量(LFQ)实现了对分泌蛋白的全面表征和定量(基于丰度)。最丰富的12种蛋白质几乎占分泌蛋白质组的80%。这些是功能未知的未表征蛋白质、复苏促进因子、蛋白质PS1、孔蛋白B、ABC型转运蛋白和假定膜蛋白。这些数据可用于蛋白质生产,例如利用最丰富蛋白质的信号肽来改善异源蛋白的分泌。此外,通过使非必需分泌蛋白失活,可能会减轻分泌压力。在这里,我们通过鉴定最丰富的分泌蛋白提供了靶点,其中大多数功能未知。因此,本研究的数据可为寻求改善蛋白质分泌并优化[具体微生物名称]作为分泌蛋白生产宿主的研究人员提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2111/10896948/316ed7c5a27d/fbioe-12-1348184-g001.jpg

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