Standard

Expression profile analysis of COVID-19 patients. / Шиманский, Валентин Сергеевич; Попов, Олег Сергеевич; Апалько, Светлана Вячеславовна; Сушенцева, Наталья Николаевна; Анисенкова, Анна Юрьевна; Мосенко, Сергей Викторович; Щербак, Сергей Григорьевич; Клочкова, Татьяна.

2023.

Результаты исследований: Рабочие материалы › Препринт

Harvard

Шиманский, ВС, Попов, ОС, Апалько, СВ, Сушенцева, НН, Анисенкова, АЮ, Мосенко, СВ, Щербак, СГ & Клочкова, Т 2023 'Expression profile analysis of COVID-19 patients'. https://doi.org/10.1101/2023.12.03.23299339

APA

Шиманский, В. С., Попов, О. С., Апалько, С. В., Сушенцева, Н. Н., Анисенкова, А. Ю., Мосенко, С. В., Щербак, С. Г., & Клочкова, Т. (2023). Expression profile analysis of COVID-19 patients. https://doi.org/10.1101/2023.12.03.23299339

Vancouver

Шиманский ВС, Попов ОС, Апалько СВ, Сушенцева НН, Анисенкова АЮ, Мосенко СВ и пр. Expression profile analysis of COVID-19 patients. 2023 Дек. 4. https://doi.org/10.1101/2023.12.03.23299339

Author

Шиманский, Валентин Сергеевич ; Попов, Олег Сергеевич ; Апалько, Светлана Вячеславовна ; Сушенцева, Наталья Николаевна ; Анисенкова, Анна Юрьевна ; Мосенко, Сергей Викторович ; Щербак, Сергей Григорьевич ; Клочкова, Татьяна. / Expression profile analysis of COVID-19 patients. 2023.

BibTeX

@techreport{cad68a6a5136432a82126fbb4d8a3ce5,
title = "Expression profile analysis of COVID-19 patients",
abstract = "The course of COVID-19 is determined by various factors. Studies worldwide have shown a correlation between changes in the expression profile and the severity of the disease. Thus, an in-depth study of differentially expressed genes will allow a more detailed investigation of the metabolic changes occurring in the background of coronavirus infection. The technique of RNA sequencing and subsequent bioinformatics analysis is suitable for such research tasks. In our study, we compared groups of samples from patients with mild and severe disease course and identified a number of differentially expressed genes. These genes are involved in metabolic pathways responsible for immune response, signaling, intercellular communication, metabolism of various compounds etc. We then identified master regulators whose function and role in pathways enriched by differentially expressed genes makes them potential targets for biochemical and meta-studies.",
keywords = "COVID-19, РНК-секвенирование, дифференциальная экспрессия генов, мастер регуляторы, метаболические пути, биоинформатика",
author = "Шиманский, {Валентин Сергеевич} and Попов, {Олег Сергеевич} and Апалько, {Светлана Вячеславовна} and Сушенцева, {Наталья Николаевна} and Анисенкова, {Анна Юрьевна} and Мосенко, {Сергей Викторович} and Щербак, {Сергей Григорьевич} and Татьяна Клочкова",
year = "2023",
month = dec,
day = "4",
doi = "10.1101/2023.12.03.23299339",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Expression profile analysis of COVID-19 patients

AU - Шиманский, Валентин Сергеевич

AU - Попов, Олег Сергеевич

AU - Апалько, Светлана Вячеславовна

AU - Сушенцева, Наталья Николаевна

AU - Анисенкова, Анна Юрьевна

AU - Мосенко, Сергей Викторович

AU - Щербак, Сергей Григорьевич

AU - Клочкова, Татьяна

PY - 2023/12/4

Y1 - 2023/12/4

N2 - The course of COVID-19 is determined by various factors. Studies worldwide have shown a correlation between changes in the expression profile and the severity of the disease. Thus, an in-depth study of differentially expressed genes will allow a more detailed investigation of the metabolic changes occurring in the background of coronavirus infection. The technique of RNA sequencing and subsequent bioinformatics analysis is suitable for such research tasks. In our study, we compared groups of samples from patients with mild and severe disease course and identified a number of differentially expressed genes. These genes are involved in metabolic pathways responsible for immune response, signaling, intercellular communication, metabolism of various compounds etc. We then identified master regulators whose function and role in pathways enriched by differentially expressed genes makes them potential targets for biochemical and meta-studies.

AB - The course of COVID-19 is determined by various factors. Studies worldwide have shown a correlation between changes in the expression profile and the severity of the disease. Thus, an in-depth study of differentially expressed genes will allow a more detailed investigation of the metabolic changes occurring in the background of coronavirus infection. The technique of RNA sequencing and subsequent bioinformatics analysis is suitable for such research tasks. In our study, we compared groups of samples from patients with mild and severe disease course and identified a number of differentially expressed genes. These genes are involved in metabolic pathways responsible for immune response, signaling, intercellular communication, metabolism of various compounds etc. We then identified master regulators whose function and role in pathways enriched by differentially expressed genes makes them potential targets for biochemical and meta-studies.

KW - COVID-19

KW - РНК-секвенирование

KW - дифференциальная экспрессия генов

KW - мастер регуляторы

KW - метаболические пути

KW - биоинформатика

U2 - 10.1101/2023.12.03.23299339

DO - 10.1101/2023.12.03.23299339

M3 - Preprint

BT - Expression profile analysis of COVID-19 patients

ER -

ID: 114561290