Publications by authors named "Dmitry Leshchiner"

Chronic wounds, defined by their prolonged healing process, significantly impair patients' quality of life and impose a hefty financial burden on healthcare systems worldwide. Sex- and gender-specific mechanisms regulate inflammation and infection, angiogenesis, matrix synthesis and cell recruitment. All of these processes contribute to cutaneous wound healing but remain largely understudied.

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This chapter revisits the method to construct the 3D invariant positions (invariant system of coordinates) for a given protein molecule or molecular complex-its premises and purpose, algorithmic details, and opportunities for use. This chapter also proposes the generalized approach, good for any class of molecules or complexes that contain several spatially identical (or nearly identical) subunits.

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Genetic interactions identify functional connections between genes and pathways, establishing gene functions or druggable targets. Here we use CRISPRi-TnSeq, CRISPRi-mediated knockdown of essential genes alongside TnSeq-mediated knockout of non-essential genes, to map genome-wide interactions between essential and non-essential genes in Streptococcus pneumoniae. Transposon-mutant libraries constructed in 13 CRISPRi strains enabled screening of ~24,000 gene pairs.

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Salmonella enterica is comprised of genetically distinct 'serovars' that together provide an intriguing model for exploring the genetic basis of pathogen evolution. Although the genomes of numerous Salmonella isolates with broad variations in host range and human disease manifestations have been sequenced, the functional links between genetic and phenotypic differences among these serovars remain poorly understood. Here, we conduct high-throughput functional genomics on both generalist (Typhimurium) and human-restricted (Typhi and Paratyphi A) Salmonella at unprecedented scale in the study of this enteric pathogen.

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Article Synopsis
  • - The study evaluates the effectiveness of large language models (LLMs), particularly GPT-3.5 Turbo, GPT-4, and Llama-7B, in identifying metastatic cancer from medical discharge summaries, compared to BERT models and medical expert annotations.
  • - Results showed that well-structured prompts with reasoning steps significantly improved the models' performance, with GPT-4 outperforming all other models in the study.
  • - The research indicates that GPT-4 could replace specialized models like PubMedBERT in clinical settings due to its strong performance, even without reliance on specific keywords or fine-tuning enhancements.
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Article Synopsis
  • - The study evaluates large language models (LLMs), including GPT-3.5 Turbo and GPT-4, in the context of healthcare, specifically for identifying metastatic cancer from discharge summaries.
  • - Results show that effective prompt engineering significantly improves model performance, with GPT-4 outperforming other models, while methods like one-shot learning and fine-tuning did not provide additional benefits.
  • - The findings indicate that GPT-4 could potentially replace specialized models like PubMedBERT using strategic prompts, and highlight the need for enhancements in open-source models to better fit clinical applications.
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Idiopathic pulmonary fibrosis (IPF) is a pathological condition wherein lung injury precipitates the deposition of scar tissue, ultimately leading to a decline in pulmonary function. Existing research indicates a notable exacerbation in the clinical prognosis of IPF patients following infection with COVID-19. This investigation employed bulk RNA-sequencing methodologies to describe the transcriptomic profiles of small airway cell cultures derived from IPF and post-COVID fibrosis patients.

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Genetic interaction networks can help identify functional connections between genes and pathways, which can be leveraged to establish (new) gene function, drug targets, and fill pathway gaps. Since there is no optimal tool that can map genetic interactions across many different bacterial strains and species, we develop CRISPRi-TnSeq, a genome-wide tool that maps genetic interactions between essential genes and nonessential genes through the knockdown of a targeted essential gene (CRISPRi) and the simultaneous knockout of individual nonessential genes (Tn-Seq). CRISPRi-TnSeq thereby identifies, on a genome-wide scale, synthetic and suppressor-type relationships between essential and nonessential genes, enabling the construction of essential-nonessential genetic interaction networks.

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Article Synopsis
  • RNA sequencing (RNA-seq) is a technique for measuring the amount of mRNA in biological samples, helping to understand gene expression differences.
  • * It is particularly useful in cancer research to identify genes linked to drug resistance.
  • * The article outlines a detailed process for extracting mRNA, preparing it for sequencing, and analyzing the data afterward.
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Detailed knowledge on how bacteria evade antibiotics and eventually develop resistance could open avenues for novel therapeutics and diagnostics. It is thereby key to develop a comprehensive genome-wide understanding of how bacteria process antibiotic stress, and how modulation of the involved processes affects their ability to overcome said stress. Here we undertake a comprehensive genetic analysis of how the human pathogen Streptococcus pneumoniae responds to 20 antibiotics.

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Loss of metabolic homeostasis is a hallmark of aging and is characterized by dramatic metabolic reprogramming. To analyze how the fate of labeled methionine is altered during aging, we applied C5-Methionine labeling to and demonstrated significant changes in the activity of different branches of the methionine metabolism as flies age. We further tested whether targeted degradation of methionine metabolism components would "reset" methionine metabolism flux and extend the fly lifespan.

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Aging is characterized by extensive metabolic reprogramming. To identify metabolic pathways associated with aging, we analyzed age-dependent changes in the metabolomes of long-lived . Among the metabolites that changed, levels of tyrosine were increased with age in long-lived flies.

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