Buffy Coat Transcriptomic Analysis Reveals Alterations in Host Cell Protein Synthesis and Cell Cycle in Severe COVID-19 Patients.
Liliane Tavares de Faria CavalcanteGuilherme Cordenonsi da FonsecaLuciane Almeida Amado LeonAndreza Lemos SalvioOtávio José BrustoliniAlexandra Lehmkuhl GerberAna Paula de Campos GuimarãesCarla Augusta Barreto MarquesRenan Amphilophio FernandesCarlos Henrique Ferreira Ramos FilhoRafael Lopes KaderMarisa Pimentel AmaroJoão Paulo da Costa GonçalvesSoniza Vieira Alves-LeonAna Tereza Ribeiro de VasconcelosPublished in: International journal of molecular sciences (2022)
Transcriptome studies have reported the dysregulation of cell cycle-related genes and the global inhibition of host mRNA translation in COVID-19 cases. However, the key genes and cellular mechanisms that are most affected by the severe outcome of this disease remain unclear. For this work, the RNA-seq approach was used to study the differential expression in buffy coat cells of two groups of people infected with SARS-CoV-2: (a) Mild, with mild symptoms; and (b) SARS (Severe Acute Respiratory Syndrome), who were admitted to the intensive care unit with the severe COVID-19 outcome. Transcriptomic analysis revealed 1009 up-regulated and 501 down-regulated genes in the SARS group, with 10% of both being composed of long non-coding RNA. Ribosome and cell cycle pathways were enriched among down-regulated genes. The most connected proteins among the differentially expressed genes involved transport dysregulation, proteasome degradation, interferon response, cytokinesis failure, and host translation inhibition. Furthermore, interactome analysis showed Fibrillarin to be one of the key genes affected by SARS-CoV-2. This protein interacts directly with the N protein and long non-coding RNAs affecting transcription, translation, and ribosomal processes. This work reveals a group of dysregulated processes, including translation and cell cycle, as key pathways altered in severe COVID-19 outcomes.
Keyphrases
- cell cycle
- sars cov
- long non coding rna
- single cell
- rna seq
- cell proliferation
- genome wide
- poor prognosis
- respiratory syndrome coronavirus
- transcription factor
- coronavirus disease
- early onset
- genome wide identification
- bioinformatics analysis
- binding protein
- protein protein
- induced apoptosis
- gene expression
- type diabetes
- dna methylation
- stem cells
- adipose tissue
- cell cycle arrest
- bone marrow
- metabolic syndrome
- sleep quality
- endoplasmic reticulum stress
- oxidative stress