bioRxivBioinformaticsPreprint
Implication of TITIN Variations in Dilated Cardiomyopathy: Integrating Whole Exome Sequencing With Molecular Dynamics Simulation Study
Amrita MukhopadhyayiD, Bharti DeviiD, Anurag T. K. BaidyaiD, Manohar Lal YadaviD, Rajnish KumariD, Bhagyalaxmi MohapatraiD
- Citations
- 2
Abstract
Dilated cardiomyopathy (DCM) is one of the leading causes of heart failure, characterized by ventricular dilation and impaired systolic function. Variations in the TITIN (TTN) gene, which encodes the giant muscle protein TTN, play a pivotal role in the genetic underpinnings of DCM. We conducted WES on 15 patients (5 familial and 10 sporadic) diagnosed with idiopathic DCM and identified 88 exonic variants including four novel variants. These variants were predominantly located in the A-band region (39 variants) of TTN, a critical region for its mechanical stability and interaction with other sarcomeric proteins, followed by the I-band domain (33 variants), Z-disc domain (7 variants) and M-band region (9 variants). To discern the functional repercussions of these variations, we performed several bioinformatics analyses including pathogenicity prediction, protein stability, and protein-protein docking followed by MD simulations on both wild-type and mutant TTN fragments with their corresponding interacting partners (TCAP, MYH7, LMNA). We revealed that variations in the A-band domain significantly alter the proteins structural dynamics, leading to decreased mechanical stability and altered protein-protein interactions. These changes are likely to disrupt sarcomere function, thereby elucidating their role in the pathogenesis of DCM. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/622829v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@15d3eb1org.highwire.dtl.DTLVardef@bf096dorg.highwire.dtl.DTLVardef@4141dorg.highwire.dtl.DTLVardef@1c4948b_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- approach: simulation
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