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Chanda, P.

Publications and source records attributed to Chanda, P..

2 recordsLinked to original sources

Cancer cells co-evolve with retrotransposons to mitigate viral mimicry

Overexpression of repetitive elements is an emerging hallmark of human cancers1. Diverse repeats can mimic viruses by replicating within the cancer genome through retrotransposition, or presenting pathogen-associated molecular patterns (PAMPs) to the pattern recognition receptors (PRRs) of the innate immune system2-5. Yet, how specific repeats affect tumor evolution and shape the tumor immune microenvironment (TME) in a pro- or anti-tumorigenic manner remains poorly defined. Here, we integrate whole genome and total transcriptome data from a unique autopsy cohort of multiregional samples collected in pancreatic ductal adenocarcinoma (PDAC) patients, into a comprehensive evolutionary analysis. We find that more recently evolved Short Interspersed Nuclear Elements (SINE), a family of retrotransposable repeats, are more likely to form immunostimulatory double-strand RNAs (dsRNAs). Consequently, younger SINEs are strongly co-regulated with RIG-I like receptor associated type-I interferon genes but anti-correlated with pro-tumorigenic macrophage infiltration. We discover that immunostimulatory SINE expression in tumors is regulated by either Long Interspersed Nuclear Elements 1 (LINE1/L1) mobility or ADAR1 activity in a TP53 mutation dependent manner. Moreover, L1 retrotransposition activity tracks with tumor evolution and is associated with TP53 mutation status. Altogether, our results suggest pancreatic tumors actively evolve to modulate immunogenic SINE stress and induce pro-tumorigenic inflammation. Our integrative, evolutionary analysis therefore illustrates, for the first time, how dark matter genomic repeats enable tumors to co-evolve with the TME by actively regulating viral mimicry to their selective advantage.

cancer biology↗

Rational engineering of a β-glucosidase (H0HC94) from glycosyl family I (GH1) to improve catalytic performance on cellobiose

The conversion of lignocellulosic feedstocks by cellulases to glucose is a critical step in biofuel production. {beta}-glucosidases catalyze the final step in cellulose breakdown, producing glucose, and is often the rate-limiting step in biomass hydrolysis. Rationally engineering previously characterized enzymes may be one strategy to increase catalytic activity and the efficiency of cellulose hydrolysis. The specific activity of most natural and engineered {beta}-glucosidase is higher on the artificial substrate p-Nitrophenyl {beta}-D-glucopyranoside (pNPGlc) than on the natural substrate, cellobiose. Based on our hypothesis of increasing catalytic activity by reducing the interaction of residues present near the active site tunnel entrance with glucose without disturbing any existing interactions with cellobiose, we report an engineered {beta}-glucosidase (Q319A H0HC94) with a 1.8-fold specific activity increase (366.3 {+/-} 36 {micro}mol/min/mg), an almost 1.5-fold increase in kcat (340.8 {+/-} 27 s-1), and a 3-fold increase in Q319A H0HC94 cellobiose specificity (236.65 mM-1 s-1) over HOHC94. Molecular dynamic simulations and protein structure network analysis indicate that Q319A significantly increased the dynamically stable communities and hub residues, leading to a change in enzyme conformation and higher enzymatic activity. This study shows the impact of rational engineering of non-conserved residue to increase {beta}-glucosidase substrate accessibility and enzyme specificity. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/505235v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@392a36org.highwire.dtl.DTLVardef@10252d4org.highwire.dtl.DTLVardef@18c1749org.highwire.dtl.DTLVardef@4cc8c6_HPS_FORMAT_FIGEXP M_FIG A rationally engineered -glucosidase with a 1.5-fold increase in kcat, and a 3-fold increase in cellobiose specificity over the wild-type C_FIG

bioengineering↗