Biology subjects

Chan, E. R.

Publications and source records attributed to Chan, E. R..

3 recordsLinked to original sources

bioRxiv2023

A core Nrf2 gene set defined through comprehensive transcriptomic analysis predicts drug resistance and poor multi-cancer prognosis

The NRF2-KEAP1 pathway plays an important role in the cellular response to oxidative stress but may also contribute to metabolic changes and drug resistance in cancer. We investigated the activation of NRF2 in human cancers and fibroblast cells through KEAP1 inhibition and cancer associated KEAP1/NRF2 mutations. We define a core set of 14 upregulated NRF2 target genes from seven RNA-Sequencing databases that we generated and analyzed, which we validated this gene set through analyses of published databases and gene sets. An NRF2 activity score based on expression of these core target genes correlates with resistance to drugs such as PX-12 and necrosulfonamide but not to paclitaxel or bardoxolone methyl. We validated these findings and also found NRF2 activation led to radioresistance in cancer cell lines. Finally, our NRF2 score is prognostic for cancer survival and validated in additional independent cohorts for novel cancers types not associated with NRF2-KEAP1 mutations. These analyses define a core NRF2 gene set that is robust, versatile, and useful as a NRF2 biomarker and for predicting drug resistance and cancer prognosis.

cancer biology↗

bioRxiv2022

Membrane-Bound O-Acyltransferase 7 (MBOAT7)-Driven Lysophosphatidylinositol (LPI) Acylation in Adipocytes Contributes to Systemic Glucose Homeostasis

Non-alcoholic fatty liver disease (NAFLD) is becoming increasingly common and is a leading cause of end stage liver diseases such as cirrhosis and hepatocellular carcinoma. The rise in NAFLD closely parallels the global epidemic of obesity and type 2 diabetes mellitus (T2DM), and there is a clear interrelationship between abnormal lipid metabolism, insulin resistance, and NAFLD progression. Several genetic loci have been identified as contributors to NAFLD progression, all of which are consistently linked to abnormal lipid metabolic processes in the liver. The common loss-of-function variant rs641738 (C>T) near the gene encoding Membrane-Bound O-Acyltransferase 7 (MBOAT7) is associated with increased susceptibility to NAFLD as well as the entire spectrum of NAFLD progression. The MBOAT7 gene encodes a lipid metabolic enzyme that is capable of esterifying polyunsaturated fatty acyl-CoAs to LPI substrates to generate phosphatidylinositol (PI) lipids. We previously showed that antisense oligonucleotide (ASO)-mediated knockdown of Mboat7 in mice promoted high fat diet-induced hepatic steatosis, hyperinsulinemia, and systemic insulin resistance (Helsley et al., 2019). Thereafter, other groups showed that hepatocyte-specific genetic deletion of Mboat7 promoted striking fatty liver and NAFLD progression but does not alter insulin sensitivity, suggesting the potential for cell autonomous roles. Here, we show that MBOAT7 function in adipocytes contributes to diet-induced metabolic disturbances including hyperinsulinemia and systemic insulin resistance. The expression of Mboat7 in white adipose tissue closely correlates with diet-induced obesity across a panel of [~]100 inbred strains of mice fed a high fat/high sucrose diet. Moreover, adipocyte-specific genetic deletion of Mboat7 is sufficient to promote hyperinsulinemia, systemic insulin resistance, and mild fatty liver. Unlike in the liver, where Mboat7 plays a relatively minor role in maintaining arachidonic acid (AA)-containing PI pools, Mboat7 is the major source of AA-containing PI pools in adipose tissue. Our data demonstrate that MBOAT7 is a critical regulator of adipose tissue PI homeostasis, and adipocyte MBOAT7-driven PI biosynthesis is closely linked to hyperinsulinemia and insulin resistance in mice.

biochemistry↗

bioRxiv2022

COVID-19 Infection and Transmission Includes Complex Sequence Diversity

SARS-CoV-2 whole genome sequencing has played an important role in documenting the emergence of polymorphisms in the viral genome and its continuing evolution during the COVID-19 pandemic. Here we present data from over 360 patients to characterize the complex sequence diversity of individual infections identified during multiple variant surges (e.g., Alpha and Delta; requiring [≥] 80% genome coverage and [≥]100X read depth). Across our survey, we observed significantly increasing SARS-CoV-2 sequence diversity during the pandemic and frequent occurrence of multiple biallelic sequence polymorphisms in all infections. This sequence polymorphism shows that SARS-CoV-2 infections are heterogeneous mixtures. Convention for reporting microbial pathogens guides investigators to report a majority consensus sequence. In our study, we found that this approach would under-report at least 79% of the observed sequence variation. As we find that this sequence heterogeneity is efficiently transmitted from donors to recipients, our findings illustrate that infection complexity must be monitored and reported more completely to understand SARS-CoV-2 infection and transmission dynamics involving both immunocompetent and immunocompromised patients. Many of the nucleotide changes that would not be reported in a majority consensus sequence have now been observed as lineage defining SNPs in Omicron BA.1 and/or BA.2 variants. This suggests that minority alleles in earlier SARS-CoV-2 infections may play an important role in the continuing evolution of new variants of concern. AUTHOR SUMMARYEvolution of the virus causing COVID-19 (SARS-CoV-2) has been associated with significant transmission surges. With evolution of SARS-CoV-2, evidence has accumulated regarding increased transmissibility of lineages, varying severity of illness, evasion of vaccines and diagnostic tests. Continuous tracking of SARS-CoV-2 lineage evolution distills very large and complex viral sequence data sets down to consensus sequences that report the majority nucleotide at each of over 29,000 positions in the SARS-CoV-2 genome. We observe that this eliminates considerable sequence variation and leads to a significant underestimation of SARS-CoV-2 infection diversity and transmission complexity. Additionally, concentration on the majority consensus sequence diverts attention from genetic variation that may contribute significantly to the continuing evolution of the COVID-19 pandemic.

genomics↗