Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink.

STAR Protoc

Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Quadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK; Earlham Institute, Norwich, Norfolk NR4 7UZ, UK. Electronic address:

Published: January 2025

Analyzing host-microbe interactions is essential for understanding how microbiota changes disrupt host homeostasis. Here, we present a protocol for predicting host-microbe protein-protein interactions and their downstream effects using MicrobioLink. We describe steps for setting up the environment, installing software, and preparing human transcriptomic and bacterial proteomic data. The protocol outlines procedures for predicting protein-protein interactions through domain-motif interactions, integrating multi-omic datasets to map downstream effects, performing network analyses to identify key regulatory pathways, and visualizing multi-layered networks for systems-level data interpretation. For complete details on the use and execution of this protocol, please refer to Gul et al. and Poletti et al..

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.xpro.2024.103570DOI Listing

Publication Analysis

Top Keywords

protocol predicting
8
predicting host-microbe
8
host-microbe interactions
8
interactions downstream
8
protein-protein interactions
8
downstream effects
8
interactions
5
protocol
4
downstream host
4
host cells
4

Similar Publications

lncRNA SNHG6 Knockdown Promotes Microglial M2 Polarization and Alleviates Spinal Cord Injury via Regulating the miR-182-5p/NEUROD4 Axis.

Appl Biochem Biotechnol

January 2025

Department of Neurosurgery, General Medical 300 Hospital, No. 420 Huanghe Road, Guiyang City, 550006, Guizhou Province, China.

Spinal cord injury (SCI) is one of the devastating neurological disorders that leads to a loss of motor and sensory functions. Long non-coding RNA small nucleolar RNA host gene 6 (lncRNA SNHG6) plays a crucial role in inflammatory regulation across various diseases. This study investigates the role of SNHG6 in SCI development and its underlying regulatory mechanisms.

View Article and Find Full Text PDF

Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.

Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.

View Article and Find Full Text PDF

Melanoma is an aggressive type of skin cancer that arises from melanocytes, the cells responsible for producing skin pigment. In contrast to non-melanoma skin cancers like basal cell carcinoma and squamous cell carcinoma, melanoma is more invasive. Melanoma was distinguished by its rapid progression, high metastatic potential, and significant resistance to conventional therapies.

View Article and Find Full Text PDF

The formation of novel complexes from so far non-investigated ligands and different metal centers is important for the development of new functional materials such as (photo)catalysts or biologically active compounds. Still, promising strategies to quickly and systematically investigate the complexation behavior of selected ligands are rare. We developed an NMR-based screening approach to monitor changes within reaction mixtures containing metals and ligands on a small scale a simple but reliable protocol.

View Article and Find Full Text PDF

Accurate modeling of the structures of protein-protein complexes and other biomolecular interactions represents a longstanding and important challenge for computational biology. The Critical Assessment of PRedicted Interactions (CAPRI) experiment has served for over two decades as a key means to assess and compare current approaches and methods through blind predictive scenarios, highlighting useful strategies, and new developments. Here we describe the performance of our laboratory's team in recent CAPRI rounds, which included submissions for 10 modeling targets.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!