[Features of the upper gastrointestinal tract mucous membrane state in patients with atherosclerosis of the mesenteric arteries].

Aim: To evaluate the clinical and endoscopic features of diseases of the upper gastrointestinal tract (GIT) in patients with atherosclerosis of the mesenteric arteries (MA).

Materials And Methods: The study included 48 patients with atherosclerosis of MA and 43 patients without atherosclerosis of MA, who were hospitalized in the department of vascular surgery of the Chelyabinsk Regional Clinical Hospital in the period from 2019 to 2021. All patients underwent multispiral computed tomoangiography of the visceral and lower limb arteries, esophagogastroduodenoscopy.

Functional metagenomics of the thioredoxin superfamily.

Environmental sequence data of microbial communities now makes up the majority of public genomic information. The assignment of a function to sequences from these metagenomic sources is challenging because organisms associated with the data are often uncharacterized and not cultivable. To overcome these challenges, we created a rationally designed expression library of metagenomic proteins covering the sequence space of the thioredoxin superfamily.

In silico approach to designing rational metagenomic libraries for functional studies.

Background: With the development of Next Generation Sequencing technologies, the number of predicted proteins from entire (meta-) genomes has risen exponentially. While for some of these sequences protein functions can be inferred from homology, an experimental characterization is still a requirement for the determination of protein function. However, functional characterization of proteins cannot keep pace with our capabilities to generate more and more sequence data.

Simple discovery of bacterial biocatalysts from environmental samples through functional metaproteomics.

Bacterial biocatalysts play a key role in our transition to a bio-based, post-petroleum economy. However, the discovery of new biocatalysts is currently limited by our ability to analyze genomic information and our capacity of functionally screening for desired activities. Here, we present a simple workflow that combines functional metaproteomics and metagenomics, which facilitates the unmediated and direct discovery of biocatalysts in environmental samples.

A combined bioinformatics and functional metagenomics approach to discovering lipolytic biocatalysts.

The majority of protein sequence data published today is of metagenomic origin. However, our ability to assign functions to these sequences is often hampered by our general inability to cultivate the larger part of microbial species and the sheer amount of sequence data generated in these projects. Here we present a combination of bioinformatics, synthetic biology, and Escherichia coli genetics to discover biocatalysts in metagenomic datasets.