Biology subjects

Nagar, N.

Publications and source records attributed to Nagar, N..

5 recordsLinked to original sources

bioRxiv2026

Dynamic emotional updating as a computational marker of well-being

Mood shapes behavior, physiology, and well-being. While mood continuously fluctuates in response to external events, it can also remain surprisingly stable, raising a fundamental question: what shapes emotional well-being, mood stability or variability? Quantifying mood along these two dimensions is challenging. We combined a closed-loop mood modulating task with computational modeling to derive quantitative markers of emotional stability and variability and map them onto the continuum from well-being to depressive symptoms. Participants (n=209) experienced adaptive reward-based mood modulation and modeling revealed that higher well-being associates with mood variability and stronger weighting of recent events, whereas depressive symptoms were associated with greater mood stability and stronger anchoring to earlier events. Results replicated in an independent test-retest dataset, which also showed that these mood updating parameters are reliable across days. Our findings identify adaptive responsiveness to recent experiences as a quantitative marker of well-being and unravel the temporal mood dynamics in health and depression.

neuroscience↗

bioRxiv2025

Structural mechanisms of drebrin-mediated F-actin network modulation

Drebrin modulates F-actin networks and links them to other intracellular components, regulating crucial processes including neuritogenesis, synaptic plasticity, virus internalisation and cancer invasion. Using single-particle cryo-EM we characterise drebrins interaction with F-actin through two separate conserved actin binding domains (ABD1 and ABD2), revealing structural bases for its F-actin-modulating properties. We describe a multimodal interaction where drebrins ABD1 can adopt two conformations and a long flexible loop connecting to ABD2 allows the two ABDs to occupy multiple relative positions along F-actin. Despite harbouring two separated ABDs, we find that drebrin is not a strong direct F-actin bundler. Drebrins ABDs bind across multiple actin protomers and their subdomains and modify the longitudinal inter-protomer interface, explaining their F-actin stabilising properties. Furthermore, we show drebrins binding site on F-actin is shared with other critical actin-binding and regulatory proteins, explaining their competitive displacement.

biochemistry↗

bioRxiv2024

FIGNL1 inhibits homologous recombination in BRCA2 deficient cells by dissociating RAD51 filaments

Homologous recombination (HR) deficiency upon BRCA2 loss arises from defects in the formation of RAD51 nucleoprotein filaments. Here, we demonstrate that loss of the anti-recombinase FIGNL1 retains RAD51 loading at DNA double-stranded breaks (DSBs) in BRCA2-deficient cells, leading to genome stability, HR proficiency, and viability of BRCA2-deficient mouse embryonic stem cells. Mechanistically, we directly show that strand invasion and subsequent HR defects upon BRCA2 loss primarily arises from the unrestricted removal of RAD51 from DSB sites by FIGNL1, rather than from defective RAD51 loading. Furthermore, we identify that the MMS22L-TONSL complex interacts with FIGNL1 and is critical for HR in BRCA2/FIGNL1 double-deficient cells. These findings identify a pathway for tightly regulating RAD51 activity to promote efficient HR, offering insights into mechanisms of chemoresistance in BRCA2-deficient tumors.

genetics↗

bioRxiv2022

The evolutionary dynamics that retain long neutral genomic sequences in face of indel deletion bias: a model and its application to human introns

Insertions and deletions (indels) of short DNA segments are common evolutionary events. Numerous studies showed that deletions occur more often than insertions in both prokaryotes and eukaryotes. It raises the question why neutral sequences are not eradicated from the genome. We suggest that this is due to a phenomenon we term border-induced selection. Accordingly, a neutral sequence is bordered between conserved regions. Deletions occurring near the borders occasionally protrude to the conserved region and are thereby subject to strong purifying selection. Thus, for short neutral sequences, an insertion bias is expected. Here, we develop a set of increasingly complex models of indel-dynamics that incorporate border-induced selection. Furthermore, we show that short conserved sequences within the neutrally evolving sequence help explain: (1) the presence of very long sequences; (2) the high variance of sequence lengths; (3) the possible emergence of multimodality in sequence length distributions. Finally, we fitted our models to the human intron length distribution, as introns are thought to be mostly neutral and bordered by conserved exons. We show that when accounting for the occurrence of short conserved sequences within introns, we reproduce the main features, including the presence of long introns and the multimodality of intron distribution.

bioinformatics↗

bioRxiv2020

Harnessing machine learning to unravel protein degradation in Escherichia coli

Degradation of intracellular proteins in Gram-negative bacteria regulates various cellular processes and serves as a quality control mechanism by eliminating damaged proteins. To understand what causes the proteolytic machinery of the cell to degrade some proteins while sparing others, we employed a quantitative pulsed-SILAC (Stable Isotope Labeling with Amino acids in Cell culture) method followed by mass spectrometry analysis to determine the half-lives for the proteome of exponentially growing Escherichia coli, under standard conditions. We developed a likelihood-based statistical test to find actively degraded proteins, and identified dozens of novel proteins that are fast-degrading. Finally, we used structural, physicochemical and protein-protein interaction network descriptors to train a machine-learning classifier to discriminate fast-degrading proteins from the rest of the proteome. Our combined computational-experimental approach provides means for proteomic-based discovery of fast degrading proteins in bacteria and the elucidation of the factors determining protein half-lives and have implications for protein engineering. Moreover, as rapidly degraded proteins may play an important role in pathogenesis, our findings could identify new potential antibacterial drug targets.

microbiology↗