Biology subjects

Sen, B.

Publications and source records attributed to Sen, B..

12 recordsLinked to original sources

bioRxiv2026

An MLL-Independent Function of Menin Promotes Resistance to MAPK-Targeted Therapy

BRAF mutant colorectal cancer (CRC) remains difficult to treat despite the clinical use of combined BRAF and EGFR inhibition, highlighting a need to define tumour-intrinsic mechanisms that limit therapeutic response. Here, using genome-wide CRISPR-Cas9 screening in BRAF-mutant CRC cells, we identify MEN1, encoding the chromatin-associated protein Menin, as a selective determinant of sensitivity to combined encorafenib and cetuximab (EC). MEN1 loss markedly enhanced EC-mediated inhibition of cell proliferation and ERK activity while having comparatively little effect in untreated cells, and re-expression of Menin restored resistance. Transcriptomic and chromatin profiling revealed that Menin supports the transcriptional response associated with MAPK signalling. Menin occupied promoters of MAPK/BRAF-responsive genes and EC treatment caused widespread displacement of Menin from chromatin. Phosphoproteomic analysis demonstrated extensive remodelling of MAPK signalling following EC treatment, whereas proximity proteomics showed that the Menin-associated protein complexes remained largely intact despite loss of Menin chromatin occupancy. Importantly, MLL1 loss did not reproduce the sensitising effect of MEN1 deletion, and pharmacological Menin inhibition with revumenib failed to phenocopy either genetic MEN1 loss or acute Menin degradation, indicating that this phenotype is independent of Menin-MLL activity. Together, these findings identify a previously unrecognised, MLL-independent role for Menin in buffering the response of BRAF-mutant CRC cells to MAPK pathway inhibition and suggest targeting Menin, rather than disruption of its interaction with MLL, may provide a strategy for enhancing the response to BRAF-targeted therapy for CRC.

cancer biology↗

bioRxiv2026

CROssBARv2: A Unified Computational Framework for Heterogeneous Biomedical Data Representation and LLM-Driven Exploration

Biomedical discovery is hindered by fragmented, modality-specific repositories and uneven metadata, limiting integrative analysis, accessibility, and reproducibility. To address these challenges, we present CROssBARv2, a provenance-rich biomedical data-and-knowledge integration platform that unifies heterogeneous sources into a maintainable, scalable system. By consolidating diverse data types into an extensive knowledge graph enriched with standardised ontologies, rich metadata, and deep learning-based vector embeddings, CROssBARv2 alleviates the need for researchers to navigate multiple siloed databases and can facilitate downstream tasks, including predictive modelling and mechanistic reasoning, enabling applications such as drug repurposing and protein function prediction. The platform offers interactive graph exploration and embedding-based semantic search with CROssBAR-LLM, an intuitive natural language question-answering system that grounds large language model (LLM) outputs in the underlying knowledge graph to mitigate hallucinations. We assess CROssBARv2 through (i) multiple use-case analyses to test biological coherence and relational validity; (ii) knowledge-augmented biomedical question-answering benchmarks comparing CROssBAR-LLM against generalist LLMs; and (iii) a deep learning-based predictive modelling experiment for protein function prediction leveraging the heterogeneous structure of CROssBARv2. Collectively, CROssBARv2 provides a scalable, AI-ready, and user-friendly foundation that facilitates hypothesis generation, knowledge discovery, and translational research.

bioinformatics↗

bioRxiv2025

Development of a long-read high-throughput chromatin conformation capture method for evaluating both cis and trans interactions between integrated Hepatitis B Virus and host genomes.

High-throughput chromatin conformation capture (Hi-C) has been utilized for characterizing the 3-dimensional (3D) interactome of the genome. However, short-read sequencing approaches have limited the information it provides, especially for integrated proviral DNAs . Herein we describe the development of a pipeline to investigate the 3D interactome associated with integrated Hepatitis B Virus (HBV) DNAs (iDNAs) to further understand the role of HBV iDNA in liver carcinogenesis. We employed long-read DNA sequencing combined with a novel target-pull-down library construction approach that protects against DNA shearage resulting in greatly improved sensitivity and specificity for the targeted HBV iDNA. Most importantly, we successfully increased the length of captured Hi-C library to the multi-kilobase-level and report Hi-C contacts based on a custom-developed informatics pipeline. We anticipate this combined laboratory{-}informatics pipeline will provide a more comprehensive view of HBV iDNA-host genomic interactions associated with their role in liver carcinogenesis, but even more importantly that it should be generalizable for the study of the geno-topological effects associated with any type of integrated DNA. (word count: 164/250)

genomics↗

bioRxiv2025

OmniPath: integrated knowledgebase for multi-omics analysis

Analysis and interpretation of omics data largely benefit from the use of prior knowledge. However, this knowledge is fragmented across resources and often is not directly accessible for analytical methods. We developed OmniPath (https://omnipathdb.org/), a database combining diverse molecular knowledge from 168 resources. It covers causal protein-protein, gene regulatory, miRNA, and enzyme-PTM (post-translational modification) interactions, cell-cell communication, protein complexes, and information about the function, localization, structure, and many other aspects of biomolecules. It prioritizes literature curated data, and complements it with predictions and large scale databases. To enable interactive browsing of this large corpus of knowledge, we developed OmniPath Explorer, which also includes a large language model (LLM) agent that has direct access to the database. Python and R/Bioconductor client packages and a Cytoscape plugin create easy access to customized prior knowledge for omics analysis environments, such as scverse. OmniPath can be broadly used for the analysis of bulk, single-cell and spatial multi-omics data, especially for mechanistic and causal modeling. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/675512v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@17c2b6borg.highwire.dtl.DTLVardef@1069835org.highwire.dtl.DTLVardef@1f2ce76org.highwire.dtl.DTLVardef@1d0b34f_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

The lac repressor strikes a balance between inducibility and strength of repression

Transcription factors (TFs) efficiently locate their target DNA sequences by combining three-dimensional diffusion and one-dimensional sliding on nonspecific DNA. To balance rapid sliding with strong specific binding, TFs were proposed to switch between search and recognition conformations. For E. coli lac repressor (LacI), the folding of the hinge helices has been implicated in the conformational switch. Here, we tested how mutations in the hinge region impact the search speed and binding stability. Based on molecular dynamics simulations, we selected two LacI mutants favoring either search or recognition conformation. We measured the binding kinetics of the mutants both in vitro on DNA microarrays with 2,479 different Lac operators and in vivo via single-molecule experiments. We conclude that a hinge region mutation causing less helix propensity enhances the specificity but reduces binding strength globally, while a hinge region mutation causing higher helix propensity has opposite effects. However, altered specificity impacts the search time less than expected. Instead, the major effect was impaired dissociation in response to IPTG induction for the strongly binding mutant. Together with earlier reports of affinity-inducibility trade-offs in LacI, our data support the model in which the hinge region governs a trade-off between binding stability and inducibility rather than between speed and binding stability.

molecular biology↗

bioRxiv2022

Evidence for the Existence of a Bacterial Etiology for Alzheimers Disease and for a Temporal-Spatial Development of a Pathogenic Microbiome in the Brain

BackgroundOver the last few decades, a growing body of evidence suggests a role for various infectious agents in Alzheimers Disease (AD) pathogenesis. Despite diverse pathogens (virus, bacteria, or fungi) being detected in AD subjects brains, most research has focused on individual pathogens and only a few studies investigated the hypothesis of a bacterial brain microbiome. We profiled the bacterial communities present in non-demented controls and AD subjects brains. ResultsWe obtained post-mortem samples from the brains of 32 individual subjects, comprising 16 AD and 16 control aged-matched subjects with a total of 130 samples from the frontal and temporal lobes and entorhinal cortex. We used full-length 16S rRNA gene amplification with Pacific Biosciences sequencing technology to identify the bacteria. We detected bacteria in the brains of both cohorts with the principal bacteria comprising Propionibacterium acnes (recently renamed Cutibacterium acnes) and two species each of Acinetobacter and Comamonas genera. We used a hierarchical Bayesian method to detect differences in relative abundance among AD and control groups. Because of large abundance variances we also employed an unconventional analysis approach that utilized Latent Dirichlet Allocation, often used in computational linguistics. This allowed us to identify 5 classes of samples, each revealing a different microbiome. Assuming that samples represented infections that potentially began at different times, we ordered these classes in time, finding that the last class exclusively explained the existence or non-existence of AD. ConclusionsThe AD-related pathogenicity of the brain microbiome seems to be based on a complex polymicrobial dynamic. The time ordering revealed a rise and fall of the abundance of Propionibacterium acnes with pathogenicity occurring for an off-peak abundance level in association with at least one other bacterium from a set of genera that included: Methylobacterium, Bacillus, Caulobacter, Delftia, and Variovorax. P. acnes may also be involved with outcompeting the Comamonas species, which were strongly associated with non-demented brain microbiome, whose early destruction could be the first stage of the disease. The statistical results are also consistent with a leaky blood brain barrier or lymphatic network that allows bacteria, viruses, fungi, or other pathogens to enter the brain.

microbiology↗

bioRxiv2021

Mechanically induced nuclear shuttling of β-catenin requires co-transfer of actin

Mesenchymal stem cells (MSC) respond to environmental forces with both cytoskeletal re-structuring and activation of protein chaperones of mechanical information, {beta}-catenin and Yes-Associated Protein 1 (YAP1). To function, MSCs must differentiate between dynamic forces such as cyclic strains of extracellular matrix due to physical activity and static strains due to ECM stiffening. To delineate how MSCs recognize and respond differently to both force types, we compared effects of dynamic (200 cycles x 2%) and static (1 x 2% hold) strain on nuclear translocation of {beta}-catenin and YAP1 at 3h after force application. Dynamic strain induced nuclear accumulation of {beta}-catenin, and increased cytoskeletal actin structure and cell stiffness, but had no effect on nuclear YAP1 levels. Critically, both nuclear actin and nuclear stiffness increased along with dynamic strain-induced {beta}-catenin transport. Augmentation of cytoskeletal structure using either static strain or lysophosphatidic acid (LPA) did not increase nuclear content of {beta}-catenin or actin, but induced robust nuclear increase in YAP1. As actin binds {beta}-catenin, we considered whether {beta}-catenin, which lacks a nuclear localization signal, was dependent on actin to gain entry to the nucleus. Knockdown of cofilin-1 (Cfl1) or importin-9 (Ipo9), which co-mediate nuclear transfer of G-actin, prevented dynamic strain-mediated nuclear transfer of both {beta}-catenin and actin. In sum, dynamic strain induction of actin re-structuring promotes nuclear transport of G-actin, concurrently supporting nuclear access of {beta}-catenin via mechanisms utilized for actin transport. Thus, dynamic and static strain activate alternative mechanoresponses reflected by differences in the cellular distributions of actin, {beta}-catenin and YAP1. Significance statementCells integrate both static and dynamic mechanical signals through the actin cytoskeleton which is attached to the nuclear envelope, affecting nuclear transport of {beta}-catenin and YAP1. Dynamic strain induces nuclear translocation of {beta}-catenin, but not YAP1, while static strain causes nuclear translocation of YAP1, but not {beta}-catenin. Importantly, nuclear transport of actin is induced by dynamic but not static force. Furthermore, nuclear import of {beta}-catenin depends on cofilin/importin-9 dependent actin transport mechanisms. Thus the presence of {beta}-catenin and YAP1 in the nucleus represent specific responses to regulatory mechanical signals.

cell biology↗

bioRxiv2021

Secretome of senescent hepatoma cells modulate macrophage polarization and neutrophil extracellular traps formation

Presence of dysfunctional senescent hepatocyte is a hallmark feature of cirrhosis. We now report the presence of senescent hepatocytes (p21 and p53 positive) in vicinity of infiltrated immune cells in hepatocellular carcinoma. Hence, we checked if senescent cells can alter fate of macrophage polarization and neutrophil extracellular trap (NETs) formation. Using an in vitro assay, senescence was induced in hepatoma cells (HepG2 and Huh7 cells) by doxorubicin treatment and senescent cell showed secretory phenotype with strong expression of cytokines (IL1{beta}, IL6, IL8 and IL13) as evaluated by Flow cytometry. The senescent secretome from hepatoma cells induced macrophage differentiation predominantly with M2 markers (CD80, CD86) while that of non-senescent cell induced M1 phenotype (CD163, CD206) as analysed by flow cytometry. Human hepatocellular carcinoma harbouring senescent hepatocytes showed presence of M2 macrophages, while M1 macrophages were predominant in non-tumorous region. Additionally, the senescent secretome from Huh7 cells (p53mut) enhanced the NETs formation, while HepG2 (p53+/+) secretome had an inhibitory affect In conclusion, the "pro-inflammatory" senescent secretome drives non-inflammatory type M2 macrophage polarization and modulate neutrophil traps thereby modulating the microenvironment towards tumor promotion. Targeting senescent hepatocyte secretome appears a promising therapeutic target in liver cancer in future. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/423905v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1df4256org.highwire.dtl.DTLVardef@7c4f53org.highwire.dtl.DTLVardef@13bfe80org.highwire.dtl.DTLVardef@1c1c4b5_HPS_FORMAT_FIGEXP M_FIG Work Highlight (Diagrammatic Representation). C_FIG

cancer biology↗

bioRxiv2020

Lamin A/C functions independently from mechanical signaling during adipogenesis

Mesenchymal stem cells (MSC) maintain the musculoskeletal system by differentiating into multiple cell types including osteocytes and adipocytes. Mechanical signals, including strain and low intensity vibration (LIV), are important regulators of MSC differentiation. Lamin A/C is a vital protein for nuclear architecture that supports chromatin organization, as well as mechanical integrity and mechano-sensitivity of the nucleus in MSCs. Here, we investigated whether Lamin A/C and mechano-responsiveness are functionally coupled during adipogenesis. Lamin depletion in MSCs using siRNA increased nuclear area, height and volume and decreased circularity and stiffness, while phosphorylation of focal adhesions and dynamic substrate strain in response to LIV remained intact. Lamin A/C depletion decelerates adipogenesis as reflected by delayed appearance of key biomarkers (e.g., adiponectin/ADIPOQ). Based on RNA-seq data, reduced Lamin A/C levels decrease the activation of the adipocyte transcriptome that is normally observed in response to adipogenic cues mediating differentiation of MSCs. Mechanical stimulation via daily LIV application reduced the expression levels of ADIPOQ in both control and Lamin A/C depleted cells. Yet, treatment with LIV did not induce major transcriptome changes in either control or Lamin A/C depleted MSCs, suggesting that the biological effects of LIV on adipogenesis may not occur at the transcriptional level. We conclude that while Lamin A/C activation is essential for normal adipogenesis, it is dispensible for activation of focal adhesions by dynamic vibration induced mechanical signals.

bioengineering↗

bioRxiv2020

Inter-specific Variability in Demographic Processes Affects Abundance-Occupancy Relationships

Species with large local abundances tend to occupy more sites. One of the mechanisms proposed to explain this widely reported inter-specific relationship is a cross-scale hypothesis based on dynamics at the population level. Called the vital rates mechanism, it uses within-population demographic processes of population growth and density dependence to predict when inter-specific abundance-occupancy relationships can arise and when these relationships can weaken and even turn negative. Even though the vital rates mechanism is mathematically simple, its predictions has never been tested directly because of the difficulty estimating the demographic parameters involved. Here, using a recently introduced mark-recapture analysis method, we show that there is a weakly positive relationship between abundance and occupancy among 17 bird species. Our results are consistent with the predictions of the vital rate mechanism regarding the demographic processes that are expected to weaken this relationship. Specifically, we find that intrinsic growth rate and local abundance are weakly correlated; and density dependence strength shows considerable variation across species. Variability in density dependence strength is related to variability in species-level local average abundance and intrinsic growth rate; species with lower growth rate have higher abundance and are strongly regulated by density dependent processes, especially acting on survival rates. Species with higher growth rate, on average, have lower abundance and are more weakly regulated by density dependent processes especially acting on fecundity. More generally, our findings support a cross scale mechanism of macroecological abundance-occupancy relationship emerging from density-dependent dynamics at the population level.

ecology↗

bioRxiv2020

Estimating fecundity and density dependence from mark-recapture data for making population projections

Forecasting changes in size and distributions of populations is at the forefront of ecological sciences in the 21st century. Such forecasts require robust estimators of fecundity, survival and density-dependence. While survival estimation is the main focus of mark-recapture modelling, fecundity and density dependence are rarely the subject of these models. Here, we demonstrate that these parameters can be simultaneously estimated in a Bayesian framework using only robust design mark-recapture data. Using simulated capture histories, we show that this framework (which we named CJS-pop) can estimate vital rates and their density dependence with little bias. When CJS-pop is applied to capture history data from Brown Creeper (Certhia americana), it provides estimates of fecundity that is expected from the breeding biology of this species. Finally, we illustrate that density dependence, even when estimated with uncertainty in the CJS-pop framework, regularizes population dynamics and reduces the frequent population extinctions and explosions observed under density-independent models. While CJS-pop as a whole is a useful addition to the current mark-recapture modelling toolbox, we argue that the independent components of this framework in estimating fecundity and density dependence can be integrated to other CJS frameworks, potentially creating models capable of population projections.

ecology↗

bioRxiv2019

Empirical Analyses of Associations between State Political Attitudes and Gains in Health Insurance Coverage after the Affordable Care Act (ACA)

ObjectivesTo explore whether state-level political-sentiment is associated with gains in insurance post Affordable Care Act (ACA). This is especially relevant given the lawsuit brought by several Republican-leaning states against the ACA, and the ruling of one Texas federal judge that the ACA is unconstitutional, which potentially jeopardizes ACAs future.\n\nMethodsMultivariate linear-probability models are estimated using data from the Behavioral Risk Factor Surveillance Systems for 2011-2017. The outcome is self-reported insurance status. States are placed in quartiles based on votes for President Obama in 2008 and 2012 elections. Starting 2014, ACA health exchanges became active and several states expanded Medicaid, so 2014 onwards is considered as the post-ACA period. Models are estimated for all adults under 65-years and for young adults under 35-years. All models control extensively for respondent socio-economic-demographic characteristics and state characteristics.\n\nResultsIn the pre-ACA baseline period, respondents in states with higher Anti-Obama-voting (AOV) were less likely to have insurance. For example, residents in highest AOV-quartile states were 8.0-percentage-points less likely (p<0.001) to have insurance than those in the lowest AOV-quartile states. Post-ACA, fewer high AOV-quartile states expanded Medicaid, and overall insurance gains inclusive of Medicaid-expansion are similar across states. However, net of Medicaid-expansion, residents in higher AOV states saw higher insurance gains. For example, all adults had 2.8-percentage points higher likelihood (p<0.01) and young adults had 4.9-percentage point higher likelihood (p<0.01) of getting insurance in the highest AOV-quartile states compared to the lowest AOV quartile states. Minorities and those with chronic-conditions had larger insurance gains across the country post-ACA, but the extent of these gains did not differ by state AOV levels.\n\nConclusionsState AOV and insurance gains from ACA appear to be incongruent. Policymakers and stakeholders should be aware that non-Medicaid residents of higher-AOV states might potentially lose the most if ACA is revoked.

ecology↗