Krasimira T. Tsaneva-Atanasova

This study investigates how Burkholderia thailandensis responds to antibiotics and phages in spatial refuges, revealing distinct subpopulation behaviors and interactions.

The paper compares circadian membrane rhythms in mouse and Drosophila pacemaker neurons, finding conserved functional goals but divergent electrophysiological mechanisms across species.

This paper introduces a geometric model to predict microbial growth across environments, achieving higher accuracy than existing models.

This paper develops a vertex model to simulate early mammalian embryogenesis, revealing how biophysical forces drive key developmental processes like compaction and cleavage.

This paper uses computational modeling to integrate experimental data and decode the dynamics of the GnRH pulse generator, focusing on the KNDy network and its modulation by external factors.

PhyloAug improves GLM performance by generating biologically plausible RNA sequence augmentations using evolutionary signals and RNA structure.

This study shows that S. aureus enters a viable but non-culturable state when competing with P. aeruginosa, altering its metabolism and survival strategies in response to antibiotics.

This study identifies two anti-correlated GABA subpopulations in the MePD that mediate UCN3-mediated stress suppression of reproduction through mutual inhibition and downstream LH regulation.

The paper shows estradiol changes ion channel activity in kisspeptin neurons, altering their firing patterns and affecting GnRH release through glutamatergic signaling.

This study shows that antibiotic-resistant bacteria survive treatment by doubling while shrinking, revealing distinct resistance mechanisms in different environments.

The paper introduces two new methods to estimate genetically driven effect heterogeneity and causal effects in Mendelian Randomization using the TWIST framework and applies them to study smoking during pregnancy on offspring birth weight.

This study shows that subpopulations of stationary phase bacteria resist antimicrobial peptides through enhanced efflux and other mechanisms, and suggests combining tachyplesin with sertraline to combat resistance.

This study uses in-silico modeling to explore how MePD neuronal dynamics influence GnRH pulse generator activity and stress-related regulation.

This paper uses Mendelian randomization to estimate the causal effect of smoking during pregnancy on placental weight, finding that continued smoking increases placental weight.

The paper investigates how kisspeptin neurons in the medial amygdala modulate GnRH pulse frequency through GABA and glutamate neurotransmission in female mice.

This study investigates how noradrenaline release within the Locus Coeruleus modulates cross-modular interactions through reciprocal inhibition and rebound activity.

The paper presents a framework for predicting individual patient trajectories in degenerative diseases using mixed data from the patient and a database, showing promising results in Duchenne Muscular Dystrophy.

The paper investigates how glutamatergic transmission modulates GnRH pulsatility in the arcuate kisspeptin network across the estrous cycle using optogenetics and mathematical modeling.

This paper estimates disease prevalence using genetic risk scores and evaluates methods for robust prevalence estimation across different scenarios.

scReQTL correlates SNVs to gene expression in single-cell RNA-seq data by using variant allele fraction instead of population genotypes, enabling analysis of rare variants.

This paper models the HPA and HPG axes as coupled oscillators to understand how stress perturbations affect fertility and hormone dynamics.

GeTallele estimates and compares variant read probabilities in DNA and RNA sequencing data to assess allele asymmetries and genomic events.

This study develops a mathematical model to explore how cortisol rhythms affect glucose utilization and disease states like type 2 diabetes.

The paper introduces ReQTL, an eQTL analysis method using RNA genetic variation instead of DNA genotypes, showing high performance in identifying molecular associations from RNA-sequencing data.

The paper shows acetylcholine enhances memory encoding in the hippocampus by disinhibiting circuits and enabling overlapping memory ensembles during salient events.