Biology subjects

Thiyagarajan, S.

Publications and source records attributed to Thiyagarajan, S..

13 recordsLinked to original sources

bioRxiv2026

A highly stringent high-throughput screening assay for identifying transcription-modulating agents of HIV-1 latency

HIV-1 latency remains a central obstacle to curing infection, and current latency-modulating agents (LMAs) suffer from poor specificity and inconsistent efficacy. To enable discovery of small molecules (SMs) that directly target the viral master transcriptional regulatory circuit (MTRC), we developed a highly stringent, dual-reporter high-throughput screening (HTS) assay based on a natural HIV-1 subtype C long terminal repeat (LTR) variant, LRhR-HC, which exhibits markedly reduced transcriptional noise and a high activation threshold. We engineered Jurkat cells to stably harbour two independent reporter cassettes driven by the tough-to-activate LRhR-HC-LTR and the canonical LR-HHC-LTR, enabling simultaneous detection of latency-promoting and latency-reversing activities through both fluorescent and secreted enzymatic reporters. This dual-reporter line responded robustly and predictably to conventional latency-reversal agents (LRAs) and latency-promoting agents (LPAs), validating assay responsiveness. Z'-factor measurements demonstrated excellent assay performance, with values ranging from approximately 0.7 across different formats, confirming a strong dynamic range and reproducibility. Screening of the 1,520-compound Prestwick chemical library (PCL), which includes FDA-approved drugs, identified 27 candidate LPAs, including known agents such as Spironolactone and Aminacrine, thereby validating the assay specificity while revealing several novel inhibitory molecules. A mechanistically focused panel of 10 additional compounds yielded two putative LPAs and one LRA, with secondary analyses confirming their latency-modulating activities and cytotoxicity profiles. Collectively, this HIV-1C-derived dual-reporter platform provides a stringent and flexible HTS system for identifying LMAs with potential applications in both block-and-lock and shock-and-kill cure strategies.

molecular biology↗

bioRxiv2025

Single-molecule landscape of DNA replication pausing

A pause in DNA synthesis that occurs when the replisome encounters an obstacle could lead to genome instability. Although important, systematic identification of replication pause sites is challenging due to their low frequency and delocalized nature. Here we present the first single-molecule identification of sites of replisome perturbation across a eukaryotic genome using long-read nanopore sequencing. For each single-molecule replication pause we determine the direction of replication, leading/lagging-strand identity, location and approximate duration, and whether the replisome resumed synthesis. Although pauses are largely diffuse over the genome, they are significantly enriched over transcribed features and correlate with transcription and R-loop levels. Transcription-replication conflicts are more numerous when head-on than co-directional. Finally, we identified genomic loci with a strong bias towards leading over lagging strand pauses, consistent with uncoupling of the helicase from polymerase epsilon. Our data support helicase-polymerase uncoupling resulting from replication pausing as the molecular trigger behind epigenetic switching. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/670160v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@79250forg.highwire.dtl.DTLVardef@1702a30org.highwire.dtl.DTLVardef@e1d9f4org.highwire.dtl.DTLVardef@1ac2ce1_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2025

Single-molecule sequencing maps replication dynamics across the fission yeast genome, including centromeres

DNA replication dynamics in fission yeast remain incompletely understood, particularly in repetitive regions such as the centromeres and the rDNA. Here, we establish DNAscent--a nanopore sequencing method that detects BrdU-labelled nascent DNA and infers replication dynamics--to map replication at single-molecule resolution in fission yeast. For the first time, we have identified thousands of replication forks, as well as initiation, termination and pause events, on single sequenced molecules across the whole genome. This high coverage allowed us to identify replication patterns in poorly characterised regions. In the rDNA, we detect strand-specific pausing at replication fork barriers. At the mating-type locus, we find the most frequent pause site outside the rDNA. At centromeres, we find that replication initiation predominantly occurs in the outer repeats, while termination localises to central regions and that, only in centromere 2, there is an enrichment in pauses at the centromeric tRNAs. This work establishes a powerful single-molecule method for studying replication dynamics in fission yeast and provides insights into replication across repetitive regions that constitute a significant portion of the genomes of more complex organisms.

genomics↗

bioRxiv2025

Loss of direct binding of Leishmania profilin with actin adversely affected its functions and interactions with other cellular proteins

Profilins are actin binding proteins that play a central role in regulation of actin remodeling in all eukaryotic organisms. Leishmania, a family of protozoan parasites that cause leishmaniasis, express a single homolog of profilin, which differs from other eukaryotic profilins in that it contains an extra stretch of 20 amino acids (actin binding domain) through which it directly binds actin. We therefore considered it of interest to analyze the role of direct binding of profilin with actin in interactions and functions of profilin in L. donovani promastigotes. For this, we deleted the actin binding domain in L. donovani profilin (LdPfn), and then carried out comparative analysis of LdPfn and truncated LdPfn ({delta}LdPfn) interactomes by affinity pull-down and mass spectrometry. To assess the effect of deletion of the actin binding domain on the LdPfn functions, we expressed GFP conjugates of LdPfn and {delta}LdPfn in the wild type Leishmania cells and then carried out comparative analysis of their growth, cell division cycle and intracellular vesicle trafficking activity. Results revealed that expression of GFP-{delta}LdPfn in the wild type cells adversely affected their cell growth, intracellular vesicle trafficking and G1-to-S and S-to-G2/M phase transitions during their cell division cycle. Also, there was a complete loss of LdPfn binding to several cellular proteins including actin and mitochondrial outer membrane protein, porin (LdPorin) after deleting its actin binding domain. Further, to assess the effect of lack of LdPorin binding to {delta}LdPfn on the mitochondrial functions, we measured the cellular ATP levels in wild-type and transgenic promastigotes. The ATP levels were significantly increased by expressing GFP-{delta}LdPfn in wild-type cells. These results taken together strongly indicate that LdPfn-driven actin remodeling besides playing a pivotal role in regulation of intracellular vesicle trafficking and cell division cycle, it also plays an important role in regulation of Leishmania mitochondrial activity.

cell biology↗

bioRxiv2025

X-Pro: A Web-based tool for structural analysis of point mutations on protein structures.

Understanding how point mutations affect protein structures is critical for understanding their impacts on a proteins function and, eventually their role in causing diseases or biological differences. In recent decades, structural inferences of missense mutations have gained significant attention due to their importance in understanding monogenic disorders. Making point mutations in silico is one of the simple bioinformatics tasks. Existing GUI-based open-source tools like PyMOL, Chimera, Discovery Studio, etc., have simplified this task so that it can be done with a few mouse clicks. However, this continues to be a difficult task for untrained biologists. Further, understanding the loss and gain of interactions caused by such mutations remains even more challenging to them. To address this, we have developed a simple web-browser-based application named X-Pro wherein a PDB structure, chain ID, residue number, and the target mutation are taken as inputs, along with mutation information. The tool runs PyMOL and LigPlot tools in the back-end, taking the site of mutation as the ligand and returning graphical images of the structure before and after in-silico point mutation, and a table listing the loss and gain of interactions arising from this mutation. The tool is available for users at the URL http://bts.ibab.ac.in/X-Pro.php.

bioinformatics↗

bioRxiv2024

Machine learning elucidates electrophysiological properties predictive of multi- and single-firing human and mouse dorsal root ganglia neurons

Human and mouse dorsal root ganglia (hDRG and mDRG) neurons are important tools in understanding the molecular and electrophysiological mechanisms that underlie nociception and drive pain behaviors. One of the simplest differences in firing phenotypes is that neurons are single-firing (exhibit only one action potential) or multi-firing (exhibit 2 or more action potentials). To determine if single- and multi-firing hDRG exhibit differences in intrinsic properties, firing phenotypes, and AP waveform properties, and if these properties could be used to predict multi-firing, we measured 22 electrophysiological properties by whole-cell patch-clamp electrophysiology of 94 hDRG neurons from 6 male and 4 female donors. We then analyzed the data using several machine learning models to determine if these properties could be used to predict multi-firing. We used 1000 iterations of Monte Carlo Cross Validation to split the data into different train and test sets and tested the Logistic Regression, k-Nearest Neighbors, Random Forest, Supported Vector Classification, and XGBoost machine learning models. All models tested had a greater than 80% accuracy on average, with Supported Vector Classification and XGBoost performing the best. We found that several properties correlated with multi-firing hDRG neurons and together could be used to predict multi-firing neurons in hDRG including a long decay time, a low rheobase, and long first spike latency. We also found that the hDRG models were able to predict multi-firing with 90% accuracy in mDRG. Targeting the neuronal properties that lead to multi-firing could elucidate better targets for treatment of chronic pain.

neuroscience↗

bioRxiv2024

Most human DNA replication initiation is dispersed throughout the genome with only a minority within previously identified initiation zones

BackgroundThe identification of sites of DNA replication initiation in mammalian cells has been challenging. Here, we present unbiased detection of replication initiation events in human cells using BrdU incorporation and single-molecule nanopore sequencing. ResultsIncreases in BrdU incorporation allow us to measure DNA replication dynamics, including identification of replication initiation, fork direction and termination on individual nanopore sequencing reads. Importantly, initiation and termination events are identified on single-molecules with high resolution, throughout S-phase, genome-wide and at high coverage at specific loci using targeted enrichment. We find a significant enrichment of initiation sites within the broad initiation zones identified by population level studies. However, these focused initiation sites only account for [~]20% of all identified replication initiation events. Most initiation events are dispersed throughout the genome and are missed by cell population approaches. This indicates that most initiation occurs at sites that, individually, are rarely used. These dispersed initiation sites contrast with the focused sites identified by population studies, in that they do not show a strong relationship to transcription or a particular epigenetic signature. ConclusionsWe show here that single-molecule sequencing enables unbiased detection and characterisation of DNA replication initiation events, including the numerous dispersed initiation events that replicate most of the human genome.

genomics↗

bioRxiv2021

Contractile ring constriction and septation in fission yeast are integrated mutually stabilizing processes

In common with other cellular machineries, the actomyosin contractile ring that divides cells during cytokinesis does not operate in isolation. Contractile rings in animal cells interact with contiguous actomyosin cortex, while ring constriction in many cell-walled organisms couples tightly to cell wall growth. In fission yeast, a septum grows in the wake of the constricting ring, ensuring cytokinesis leaves two daughter cells fully enclosed by cell wall. Here we mathematical modeled the integrated constriction-septation system in fission yeast, with a kinetic growth model evolving the 3D septum shape coupled to a molecularly explicit simulation of the contractile ring highly constrained by experimental data. Simulations revealed influences in both directions, stabilizing the ring-septum system as a whole. By providing a smooth circular anchoring surface for the ring, the inner septum leading edge stabilized ring organization and tension production; by mechanically regulating septum circularity and in-plane growth, ring tension stabilized septum growth and shape. Genetic or pharmacological perturbation of either subsystem destabilized this delicate balance, precipitating uncontrolled positive feedback with disastrous morphological and functional consequences. Thus, high curvature septum irregularities triggered bridging instabilities, in which contractile ring segments became unanchored. Bridging abolished the local tension-mediated septum shape regulation, exacerbating the irregularity in a mutually destabilizing runaway process. Our model explains a number of previously mysterious experimental observations, including unanchoring of ring segments observed in cells with mutations in the septum-growing {beta}-glucan synthases, and irregular septa in cells with mutations in the contractile ring myosin-II Myo2. Thus, the contractile ring and cell wall growth cellular machineries operate as a single integrated system, whose stability relies on mutual regulation by the two subsystems.

cell biology↗

bioRxiv2021

Myosins generate contractile force and maintain organization in the cytokinetic contractile ring

During cytokinesis cells assemble an actomyosin contractile ring whose tension constricts and divides cells, but the ring tension was rarely measured. Actomyosin force generation is well understood for the regular sarcomeric architecture of striated muscle, but recent super-resolution studies of fission yeast contractile rings revealed organizational building blocks that are not sarcomeres but irregularly positioned plasma membrane-anchored protein complexes called nodes. Here we measured contractile ring tensions in fission yeast protoplast cells. The myosin II isoforms Myo2 and Myp2 generated the tension, with a ~2-fold greater contribution from Myo2. Simulations of a molecularly detailed ring model revealed a sliding node mechanism for tension, where nodes hosting tense actin filaments were pulled bidirectionally around the ring. Myo2 and Myp2 chaperoned self-assembling components into the ring organization, and anchored the ring against bridging instabilities. Thus, beyond force production, Myo2 and Myp2 are the principal organizers, bundlers and anchors of the contractile ring.

cell biology↗

bioRxiv2021

Myosin turnover controls actomyosin contractile instability

Actomyosin contractile force is harnessed for diverse functions, from cell division to morphogenesis during development. However, actomyosin contractility is intrinsically unstable to self-reinforcing spatial variations that destroy actomyosin architecture if unopposed. The full instability was rarely observed, and how cells control the instability is not established. Here, we observed the instability run its full course in isolated cytokinetic contractile rings lacking component turnover. Myosin II aggregated hierarchically into aggregates of growing size and separation up to a maximum. Molecularly explicit simulations reproduced hierarchical aggregation that precipitated tension loss and ring fracture, and identified the maximum separation as the length of actin filaments mediating mechanical communication between aggregates. Late stage simulated aggregates had aster-like morphology with polarity sorted actin, similar to late stage actomyosin systems in vitro. Our results suggest myosin II turnover controls actomyosin contractile instability in normal cells, setting myosin aggregate size and intercepting catastrophic hierarchical aggregation and fracture.

cell biology↗

bioRxiv2020

Membrane pore energetics and the pathways to membrane rupture

Biological membranes owe their strength and low permeability to the phospholipid bilayers at their core. Membrane strength is determined by the energetics and dynamics of membrane pores, whose tension-dependent nucleation and growth leads to rupture. Creation of nanoscale membrane pores is central to exocytosis, trafficking and other processes fundamental to life that require breaching of secure plasma or organelle membranes, and is the basis for biotechnologies using drug delivery, delivery of genetic material for gene editing and antimicrobial peptides. A prevailing view from seminal electroporation and membrane rupture studies is that pore growth and bilayer rupture are controlled by macroscopically long-lived metastable defect states that precede fully developed pores. It was argued that defect nucleation becomes rate-limiting at high tensions, explaining the exponential tension-dependence of rupture times [E. Evans et al., Biophys. J. 85, 2342-2350 (2003)]. Here we measured membrane pore free energies and bilayer rupture using highly coarse-grained simulations that probe very long time scales. We find no evidence of metastable pore states. At lower tensions, small hydrophobic pores mature into large hydrophilic pores on the pathway to rupture, with classical tension dependence of rupture times. Above a critical tension membranes rupture directly from a small hydrophobic pore, and rupture times depend exponentially on tension. Thus, we recover the experimentally reported regimes, but the origin of the high tension exponential regime is unrelated to macroscopically long-lived pre-pore defects. It arises because hydrophilic pores cannot exist above a critical tension, leading to radically altered pore dynamics and rupture kinetics.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics↗

bioRxiv2019

The neuronal calcium sensor Synaptotagmin-1 and SNARE proteins cooperate to dilate fusion pores mechanically

All membrane fusion reactions proceed through an initial fusion pore, including calcium-triggered release of neurotransmitters and hormones. Expansion of this small pore to release cargo is energetically costly and regulated by cells, but the mechanisms are poorly understood. Here we show that the neuronal/exocytic calcium sensor Synaptotagmin-1 (Syt1) promotes expansion of fusion pores induced by SNARE proteins. Pore dilation relied on calcium-induced insertion of the tandem C2 domain hydrophobic loops of Syt1 into the membrane, previously shown to reorient the C2 domain. Mathematical modelling suggests that C2B reorientation rotates a bound SNARE complex so that it exerts force on the membranes in a mechanical lever action that increases the height of the fusion pore, provoking pore dilation to offset the bending energy penalty. We conclude that Syt1 exerts novel non-local calcium-dependent mechanical forces on fusion pores that dilate pores and assist neurotransmitter and hormone release. SIGNIFICANCE STATEMENTDuring neurotransmitter release, calcium-induced membrane insertion of the C2B domain of Synaptotagmin re-orients the bound SNARE complex which dilates the fusion pore in a mechanical lever action.

biophysics↗

bioRxiv2018

SYSTEMATIC ANALYSES OF AUTOSOMAL RECOMBINATION RATES FROM THE 1000 GENOMES PROJECT UNCOVERS THE GLOBAL RECOMBINATION LANDSCAPE IN HUMANS

BackgroundMeiotic recombination plays an important role in evolution by shuffling different alleles along the chromosomes, thus generating the genetic diversity across generations that is vital for adaptation. The plasticity of recombination rates and presence of hotspots of recombination along the genome has attracted much attention over two decades due to their contribution to the evolution of the genome. Yet, the variation in genome-wide recombination landscape and the differences in the location and strength of hotspots across worldwide human populations remains little explored.\n\nResultsWe make use of the untapped linkage disequilibrium (LD) based genetic maps from the 1000 Genomes Project (1KGP) to perform in-depth analyses of finescale variation in the autosomal recombination rates across 20 human populations to uncover the global recombination landscape. We have generated a detailed map of human recombination landscape comprising of a comprehensive set of 88,841 putative hotspots and 80,129 coldspots with their respective strengths across populations, about 2/3rd of which were previously unknown. We have validated and assessed the number of historical putative hotspots derived from the patterns of LD that are currently active in the contemporary populations using a recently published high-resolution pedigree-based genetic map, constructed and refined using 3.38 million crossovers from various populations. For the first time, we provide statistics regarding the conserved, shared, and unique hotspots across all the populations studied.\n\nConclusionsOur analysis yields clusters of continental groups, reflecting their shared ancestry and genetic similarities in the recombination rates that are linked to the migratory and evolutionary histories of the populations. We provide the genomic locations and strengths of hotspots and coldspots across all the populations studied which are a valuable set of resources arising out our analyses of 1KGP data. The findings are of great importance for further research on human hotspots as we approach the dusk of retiring HapMap-based resources.

evolutionary biology↗