mProX™ Human ADORA3 Stable Cell Line

Haslbauer JD, et al. "Differential Gene Expression of SARS-CoV-2 positive Bronchoalveolar Lavages: A ." Pathobiology : journal of immunopathology, molecular and cellular biology, 2023.
Currently, there is a limited amount of transcriptomic data available on bronchoalveolar lavage (BAL) samples from COVID-19 patients. In response, this case series aims to investigate the intraalveolar immunopathology of COVID-19. Fourteen patients were included in the study, with five being COVID-19 positive (three with mild symptoms and two asymptomatic) and nine acting as controls. The control group consisted of patients with various conditions, including asthma, infections with respiratory syncytial virus, influenza B, and other coronaviruses. The RNA load of SARS-CoV-2 was measured using quantitative nucleic acid testing (QNAT), while the presence of other pathogens was determined using immunofluorescence or multiplex nucleic acid testing (NAT). Subsequently, gene expression profiling was performed, revealing 71 significantly downregulated transcripts and five upregulated transcripts in COVID-19 positive samples compared to controls. The downregulated transcripts were involved in macrophage development, polarization, and crosstalk, as well as chemokine signaling and immunometabolism. The upregulated transcripts were involved in NK-T cell signaling. Interestingly, further analysis showed that patients with mild COVID-19 exhibited a significant upregulation of transcripts involved in blood mononuclear cell/leukocyte function, coagulation, interferon response, and a specific metalloprotease found in asthma, compared to patients who were asymptomatic. In addition, a comparison of the COVID-19 positive samples to a published cohort of lethal cases revealed a significant upregulation of "antigen processing and presentation" and "lysosome" pathways in lethal cases. These findings demonstrate the heterogeneity of immune response in COVID-19 and stress the need for larger studies to fully understand the immunological response to SARS-CoV-2.
Pubmed: 37490884   DOI: 10.1159/000532057

Queen K, et al. "ACDC: a general approach for detecting phenotype or exposure associated ." Frontiers in medicine, 2023.
Existing module-based differential co-expression methods identify differences in gene-gene relationships across phenotype or exposure structures by testing for consistent changes in transcription abundance. However, these methods only allow for assessment of co-expression variation across a singular, binary or categorical exposure or phenotype, which limits the information that can be obtained from these analyses. A novel approach for detection of differential co-expression is proposed that simultaneously accommodates multiple phenotypes or exposures with binary, ordinal, or continuous data types. This method, called ACDC, was applied to two cohorts of asthmatic patients with varying levels of asthma control and identified associations between gene co-expression and asthma control scores. This flexible extension to existing methodology can detect differential co-expression across varying external variables.
Pubmed: 37275375   DOI: 10.3389/fmed.2023.1118824