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Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry 利用数据高效主动学习和高通量质谱技术优化芽孢杆菌的表面活性素产量
Pub Date : 2024-02-01 DOI: 10.1016/j.csbj.2024.02.012
Ricardo Valencia Albornoz, Diego Oyarzún, Karl Burgess
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引用次数: 0
Exploring SARS-CoV2 host-pathogen interactions and associated fungal infections cross-talk: Screening of targets and understanding pathogenesis. 探索SARS-CoV2宿主-病原体相互作用及相关真菌感染串扰:靶点筛选及发病机制
IF 6 Pub Date : 2022-01-01 Epub Date: 2022-08-10 DOI: 10.1016/j.csbj.2022.08.013
Abdul Arif Khan, Sudhir K Jain, Mahendra Rai, Samiran Panda

The COVID-19 associated opportunistic fungal infections have posed major challenges in recent times. Global scientific efforts have identified several SARS-CoV2 host-pathogen interactions in a very short time span. However, information about the molecular basis of COVID-19 associated opportunistic fungal infections is not readily available. Previous studies have identified a number of host targets involved in these opportunistic fungal infections showing association with COVID-19 patients. We screened host targets involved in COVID-19-associated opportunistic fungal infections, in addition to host-pathogen interaction data of SARS-CoV2 from well-known and widely used biological databases. Venn diagram was prepared to screen common host targets involved in studied COVID-19-associated fungal infections. Moreover, an interaction network of studied disease targets was prepared with STRING to identify important targets on the basis of network biological parameters. The host-pathogen interaction (HPI) map of SARS-CoV2 was also prepared and screened to identify interactions of the virus with targets involved in studied fungal infections. Pathway enrichment analysis of host targets involved in studied opportunistic fungal infections and the subset of those involved in SARS-CoV2 HPI were performed separately. This data-based analysis screened six common targets involved in all studied fungal infections, among which CARD9 and CYP51A1 were involved in host-pathogen interactions with SARS-CoV2. Moreover, several signaling pathways such as integrin signaling were screened, which were associated with disease targets involved in SARS-CoV2 HPI. The results of this study indicate several host targets deserving detailed investigation to develop strategies for the management of SARS-CoV2-associated fungal infections.

最近,与COVID-19相关的机会性真菌感染构成了重大挑战。全球科学努力已经在很短的时间内确定了几种SARS-CoV2宿主-病原体相互作用。然而,关于与COVID-19相关的机会性真菌感染的分子基础的信息并不容易获得。先前的研究已经确定了与这些机会性真菌感染相关的许多宿主靶点,显示与COVID-19患者相关。我们筛选了与covid -19相关的机会性真菌感染相关的宿主靶点,并从知名且广泛使用的生物数据库中筛选了SARS-CoV2的宿主-病原体相互作用数据。绘制维恩图,筛选与covid -19相关真菌感染相关的常见宿主靶点。利用STRING构建所研究疾病靶点的相互作用网络,基于网络生物学参数识别重要靶点。制备并筛选了SARS-CoV2的宿主-病原体相互作用(HPI)图,以确定该病毒与所研究真菌感染涉及的靶点的相互作用。分别对参与研究的机会真菌感染的宿主靶点和参与SARS-CoV2 HPI的宿主靶点进行途径富集分析。这项基于数据的分析筛选了所有真菌感染涉及的6个共同靶点,其中CARD9和CYP51A1参与了与SARS-CoV2的宿主-病原体相互作用。此外,我们还筛选了整合素信号等几种与SARS-CoV2 HPI相关的疾病靶点相关的信号通路。这项研究的结果表明,几个宿主靶点值得详细调查,以制定管理sars - cov2相关真菌感染的策略。
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引用次数: 2
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Computational and Structural Biotechnology Journal
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