Biology subjects

Aldikacti, B.

Publications and source records attributed to Aldikacti, B..

5 recordsLinked to original sources

bioRxiv2026

CauloBrowser 2.0: an AI powered update

CauloBrowser is a systems-biology database for Caulobacter crescentus that organizes the largest repository of experimental data for this model bacterium. The original CauloBrowser provided a web interface for accessing these data, but the growing number of experimental datasets and advances in AI chatbots motivated an updated resource. We developed CauloBrowser 2.0 (CauloBrowser.org) as an open-source application that broadens access to RNA-seq, microarray, ribosome profiling, Tn-seq, ChIP-seq, and genome annotation data. The CauloChat AI interface allows users to query these datasets in natural language, generate visualizations, and achieve complex biological insights. While the database is hosted freely on the web, users may also download the database and run it locally, reducing dependence on the web-hosted service and allowing laboratories to use compatible unpublished datasets. Altogether, CauloBrowser 2.0 provides a significant update for exploring diverse systems biology data in C. crescentus.

microbiology↗

bioRxiv2025

Stress testing reveals selective vulnerabilities in protein homeostasis

Protein quality control (PQC) systems are essential for cellular resilience to proteotoxic stress. Despite intensive study for decades, functional redundancies in the system obscure the contributions of the collectively important individual genes. Here, we leverage transposon sequencing across bacteria strains lacking key chaperones and proteases to reveal hidden determinants of stress response in protein homeostasis. By profiling fitness under multiple proteotoxic stresses, we uncover stress-specific vulnerabilities and reveal how major players of PQC mask correlations between transcriptomic responses and gene fitness. As an illustration of unexpected connections, we identify a heat-specific synthetic lethality between the disaggregase ClpB and DNA Polymerase I (PolA) mediated by persistent aggregation of the RecA recombinase and toxic persistence of the heat shock regulon. Our findings reveal that stress-induced aggregation is not broadly toxic. Rather, it becomes lethal in specific genetic or environmental contexts due to the depletion of components only needed in those specific circumstances. This work presents a framework to reveal normally hidden fragility in stress responses using gene fitness scores adaptable to a variety of systems.

molecular biology↗

bioRxiv2024

Discovering Genetic Modulators of the Protein Homeostasis System through Multilevel Analysis

Every protein progresses through a natural lifecycle from birth to maturation to death; this process is coordinated by the protein homeostasis system. Environmental or physiological conditions trigger pathways that maintain the homeostasis of the proteome. An open question is how these pathways are modulated to respond to the many stresses that an organism encounters during its lifetime. To address this question, we tested how the fitness landscape changes in response to environmental and genetic perturbations using directed and massively parallel transposon mutagenesis in Caulobacter crescentus. We developed a general computational pipeline for the analysis of gene-by-environment interactions in transposon mutagenesis experiments. This pipeline uses a combination of general linear models (GLMs), statistical knockoffs, and a nonparametric Bayesian statistical model to identify essential genetic network components that are shared across environmental perturbations. This analysis allows us to quantify the similarity of proteotoxic environmental perturbations from the perspective of the fitness landscape. We find that essential genes vary more by genetic background than by environmental conditions, with limited overlap among mutant strains targeting different facets of the protein homeostasis system. We also identified 146 unique fitness determinants across different strains, with 19 genes common to at least two strains, showing varying resilience to proteotoxic stresses. Experiments exposing cells to a combination of genetic perturbations and dual environmental stressors show that perturbations that are quantitatively dissimilar from the perspective of the fitness landscape are likely to have a synergistic effect on the growth defect. Significance StatementThis study provides critical insights into how cells adapt to environmental and genetic challenges affecting protein homeostasis. Using multilevel statistical analysis and transposon mutagenesis, we find that a model organism, Caulobacter crescentus, lacks a universal redundancy mechanism for coping with stress, as evidenced by the limited overlap in essential genes across different environmental and genetic perturbations. Our methods also pinpoint key fitness determinants and enable the prediction of perturbation combinations that synergistically affect cell growth.

systems biology↗

bioRxiv2021

Plasticity in AAA+ proteases reveals ATP-dependent substrate specificity principles

In bacteria, AAA+ proteases such as Lon and ClpXP degrade substrates with exquisite specificity. These machines capture the energy of ATP hydrolysis to power unfolding and degradation of target substrates. Here, we show that a mutation in the ATP binding site of ClpX shifts protease specificity to promote degradation of normally Lon-restricted substrates. However, this ClpX mutant is worse at degrading ClpXP targets, suggesting an optimal balance in substrate preference for a given protease that is surprisingly easy to alter. In vitro, wildtype ClpXP also degrades Lon-restricted substrates more readily when ATP levels are reduced, similar to the shifted specificity of mutant ClpXP, which has altered ATP hydrolysis kinetics. Based on these results, we suggest that rates of ATP hydrolysis not only power substrate unfolding and degradation, but also tune protease specificity. We consider various models for this effect based on emerging structures of AAA+ machines showing conformationally distinct states. O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/456811v2_ufig1.gif" ALT="Figure 1"> View larger version (67K): org.highwire.dtl.DTLVardef@1b72081org.highwire.dtl.DTLVardef@1b713c7org.highwire.dtl.DTLVardef@73a92aorg.highwire.dtl.DTLVardef@167422d_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG eTOCAAA+ proteases, such as Lon and ClpXP, select distinct targets for degradation to maintain proteostasis. Mahmoud et al. show that ATP hydrolysis can tune substrate specificity of ClpX, allowing ClpX to degrade Lon-restricted substrates under limiting ATP conditions or in the presence of a ClpX mutant. HighlightsO_LIA Walker B mutation of the AAA+ protease ClpX alters substrate specificity C_LIO_LIClpX mutant degrades new substrates but degrades canonical substrates less well C_LIO_LIDecreasing ATP levels enhances ClpXP mediated degradation of some classes of substrates C_LIO_LIATP-induced changes in conformational states accompany alterations in ClpX specificity C_LI

molecular biology↗

bioRxiv2021

Model-based identification of conditionally-essential genes from transposon-insertion sequencing data

The understanding of bacterial gene function has been greatly enhanced by recent advancements in the deep sequencing of microbial genomes. Transposon insertion sequencing methods combines next-generation sequencing techniques with transposon mutagenesis for the exploration of the essentiality of genes under different environmental conditions. We propose a model-based method that uses regularized negative binomial regression to estimate the change in transposon insertions attributable to gene-environment changes without transformations or uniform normalization. An empirical Bayes model for estimating the local false discovery rate combines unique and total count information to test for genes that show a statistically significant change in transposon counts. When applied to RB-TnSeq (randomized barcode transposon sequencing) and Tn-seq (transposon sequencing) libraries made in strains of Caulobacter crescentus using both total and unique count data the model was able to identify a set of conditionally essential genes for each target condition that shed light on their functions and roles during various stress conditions. Author summaryTransposon insertion sequencing allows the study of bacterial gene function by combining next-generation sequencing techniques with transposon mutagenesis under different genetic and environmental perturbations. Our proposed regularized negative binomial regression method improves the quality of analysis of this data.

bioinformatics↗