Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 …

J Ren, XC Zhou, K Huang, L Chen, W Guo… - Computers in Biology …, 2024 - Elsevier
COVID-19 is hypothesized to exert enduring effects on the immune systems of patients,
leading to alterations in immune-related gene expression. This study aimed to scrutinize the …

Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods

H Li, Q Ma, J Ren, W Guo, K Feng, Z Li, T Huang… - Frontiers in …, 2023 - frontiersin.org
Multiple types of COVID-19 vaccines have been shown to be highly effective in preventing
SARS-CoV-2 infection and in reducing post-infection symptoms. Almost all of these vaccines …

Recognition of Immune Cell Markers of COVID‐19 Severity with Machine Learning Methods

L Chen, Z Mei, W Guo, SJ Ding… - BioMed Research …, 2022 - Wiley Online Library
COVID‐19 is hypothesized to be linked to the host's excessive inflammatory immunological
response to SARS‐CoV‐2 infection, which is regarded to be a major factor in disease …

Understanding gene expression and transcriptome profiling of COVID-19: an initiative towards the mapping of protective immunity genes against SARS-CoV-2 …

C Chakraborty, AR Sharma, M Bhattacharya… - Frontiers in …, 2021 - frontiersin.org
The COVID-19 pandemic has created an urgent situation throughout the globe. Therefore, it
is necessary to identify the differentially expressed genes (DEGs) in COVID-19 patients to …

Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes

JX Ren, Q Gao, XC Zhou, L Chen, W Guo, KY Feng… - Biology, 2023 - mdpi.com
Simple Summary It is known that COVID-19 causes dynamic changes in the immune system.
At different stages of the course of COVID-19, the immune cells may exhibit different …

Identification of COVID-19-specific immune markers using a machine learning method

H Li, F Huang, H Liao, Z Li, K Feng… - Frontiers in Molecular …, 2022 - frontiersin.org
Notably, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a tight
relationship with the immune system. Human resistance to COVID-19 infection comprises …

Transcriptomic signature differences between SARS-CoV-2 and influenza virus infected patients

S Bibert, N Guex, J Lourenco, T Brahier… - Frontiers in …, 2021 - frontiersin.org
The reason why most individuals with COVID-19 have relatively limited symptoms while
other develop respiratory distress with life-threatening complications remains unknown …

[HTML][HTML] Differentially expressed immune response genes in COVID-19 patients based on disease severity

S Li, X Duan, Y Li, M Li, Y Gao, T Li, S Li, L Tan… - Aging (Albany …, 2021 - ncbi.nlm.nih.gov
Background: Dysregulated immune responses to severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) are thought to underlie the progression of coronavirus disease …

Exploration of blood− derived coding and non-coding RNA diagnostic immunological panels for COVID-19 through a co-expressed-based machine learning …

M Zarei Ghobadi, R Emamzadeh… - Frontiers in …, 2022 - frontiersin.org
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative virus of the
pandemic coronavirus disease 2019 (COVID-19). Evaluating the immunological factors and …

A novel 3-gene signature for identifying COVID-19 patients based on bioinformatics and machine learning

G Lai, H Liu, J Deng, K Li, B Xie - Genes, 2022 - mdpi.com
Although many biomarkers associated with coronavirus disease 2019 (COVID-19) were
found, a novel signature relevant to immune cells has not been developed. In this work, the …