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Swaminathan, R.

Publications and source records attributed to Swaminathan, R..

2 recordsLinked to original sources

Investigating the Consequences of Non-active site Mutations on the Structure, Function and Dynamics of the Molten Globule Enzyme Monomeric Chorismate Mutase

Intrinsically disordered enzymes serve as useful models to understand their catalytic function against the backdrop of an unstructured protein. The characteristic flexibility in conformation seen in IDPs is a rare occurrence among enzymes and one such enzyme is the engineered protein: monomeric Chorismate Mutase (mCM). mCM surprisingly retains similar enzyme activity as its parent dimeric protein Chorismate Mutase from Methanococcus jannaschii (MjCM) despite losing the ordered globular structure. In this work using a previously demonstrated transition state analogue (TSA), we analyze the structural transitions in mCM during catalysis. Additionally, consequences of three non-active site single point mutations were investigated using CD; Trp-Dansyl FRET measurements using fluorescence lifetime; and time-resolved fluorescence anisotropy measurements; to map the local (near Trp) and global structural transitions in mCM during catalysis. Mutant2 (W24K + C69A); and Mutant3 (W24K + C69A + A6C); revealed a 97 and 89% drop-in activity compared to mCM; quite unlike Mutant1 (W24K, 19% drop). Mutant1 as opposed to Mutant3 was most sensitive to binding of TSA as quantified by structural displacement measured using FRET. This was consistent with an overall globular structure compaction induced by TSA binding in Mutant1 as reflected by a dip in rotational correlation time of Cys-conjugated dansyl probe from 10.3 to 8.4 ns. Our results highlight the critical role of Cys69 residue, that is ~19 [A] away from mCM active site, in influencing the hydrophobic collapse upon substrate binding and subsequent catalytic activity.

biochemistry↗

Spatial Transcriptomics Sequencing of Mouse Liver at 2 Micron Resolution Using a Novel Spatial DNA Chip

Spatial transcriptomics enables analysis of gene expression that is spatially resolved within a tissue section, making it possible to elucidate the relationship between individual cells within the context of the tissue. This transformative technology enables researchers to better understand gene function within the context of health tissue, developmental processes, and disease. In this study, we present an innovative spatial transcriptomics technology and data using a high-resolution DNA chip with a total capture region size of 6.5 x 6.5 mm containing 2 x 2 {micro}m features for spatial barcoding with no gaps between the features, thereby maximizing the capture area. These chips are manufactured at wafer scale using photolithography and are transferred to hydrogels, making them compatible with existing workflows for fresh frozen or paraffin-embedded samples. Herein, we examined a fresh frozen sample from an adult mouse liver. To analyze the data, we binned 10 x 10 features to represent a 20 {micro}m x 20 {micro}m capture area. We obtained 1.3 billion unique mapped reads, 68.78% sequencing saturation, with a median of 16,967 unique reads per region, indicating the potential for more unique reads with deeper sequencing. This high-resolution mapping of liver cell types and the visualization of gene expression patterns illustrate significant advancements in spatial sequencing technology.

genomics↗