Biology subjects

Asadi, M.

Publications and source records attributed to Asadi, M..

4 recordsLinked to original sources

bioRxiv2025

Compositional Analysis of Mouse Sperm Subpopulations During Capacitation In Vitro

Mammalian sperm must undergo capacitation to become competent for fertilization, yet this process is marked by substantial phenotypic heterogeneity among sperm cells. How such variability emerges and how it relates to fertilizing potential remain unresolved, in part because sperm subpopulations are typically analyzed independently despite being intrinsically interdependent. Here, we combine large-scale single-cell spectral flow cytometry with compositional statistical modeling to quantify how sperm population structure responds to controlled capacitation signals in vitro. Using cauda epididymal mouse sperm, we implemented a two-dimensional assay that systematically varies extracellular bicarbonate and free calcium--key regulators of capacitation--and classified millions of individual cells into four irreversible physiological states defined by cell viability and acrosome reaction status. We show that bicarbonate and calcium interact nonlinearly to redistribute sperm across these subpopulations, revealing structured responses that would be otherwise obscured in measurements lacking single-cell resolution. Elevated intracellular calcium was associated with increased cell death, while the highest proportions of live, acrosome-reacted sperm occurred under relatively low extracellular calcium conditions. To enable subpopulation-level analysis, we applied a hierarchical Dirichlet-multinomial regression model that accounts for multinomial sampling noise and between-male variability, yielding posterior probability surfaces that describe how sperm subpopulations reallocate across functional states as microenvironmental signaling conditions change. Together, these results demonstrate that capacitation is a stochastic, cell-population level process shaped by structured phenotypic heterogeneity. This framework provides a quantitative foundation for linking sperm subpopulation composition to measures of fertility competence and for improving existing interpretation of flow cytometry-based assessments of male fertility.

cell biology↗

bioRxiv2025

BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics

Understanding how distributed brain regions coordinate to produce behavior requires models that are both predictive and interpretable. We introduce Behavior-Adaptive Connectivity Estimation (BACE), an end-to-end framework that learns phase-specific, directed inter-regional connectivity directly from multi-region intracranial local field potentials (LFP). BACE aggregates many micro-contacts within each anatomical region via per-region temporal encoders, applies a learnable adjacency specific to each behavioral phase, and is trained on a forecasting objective. On synthetic multivariate time series with known graphs, BACE accurately recovers ground-truth directed interactions while achieving forecasting performance comparable to state-of-the-art baselines. Applied to human subcortical LFP recorded simultaneously from eight regions during a cued reaching task, BACE yields an explicit 8x8 connectivity matrix for each within-trial behavioral phase. The resulting behavioral phase-specific graphs reveal behavioraligned reconfiguration of inter-regional influence and provide compact, interpretable adjacency matrices for comparing network organization across behavioral phases. By linking predictive success to explicit connectivity estimates, BACE offers a practical tool for generating data-driven hypotheses about the dynamic coordination of subcortical regions during behavior.

neuroscience↗

bioRxiv2022

Functional impairment of the Lateral Geniculate Nucleus in Multiple Sclerosis

Visual impairment is one of the early symptoms of Multiple sclerosis (MS) disease. The objective of this study is evaluating function of Lateral geniculate nucleus, which bridges visual information from retina to other higher order visual processing areas. We collected BOLD fMRI data from 19 MS and 19 control subjects by employing selective visual stimulation tasks to provoke the whole LGN, Magnocellular, Parvocellular, and Koniocellular pathways as part of LGN multilayer structure. Through statistical analysis, we observed a significant reduction (p<0.05) of the average BOLD signal from the whole LGN structure in MS group. Further investigations showed a significant reduction of BOLD signal (p<0.05) in response to Magno and Parvo stimuli compared to healthy controls that suggested a selective functional impairment emerging in primary visual pathways in MS. In summary, we showed functional abnormalities in LGN structure and its M and P subdivisions based on functional MRI.

bioengineering↗

bioRxiv2019

The ALBA RNA-binding proteins function redundantly to promote growth and flowering in Arabidopsis.

RNA-binding proteins (RBPs) are critical regulators of gene expression, but have been poorly studied relative to other classes of gene regulators. Recently, mRNA-interactome capture identified many Arabidopsis RBPs of unknown function, including a family of ALBA domain containing proteins. Arabidopsis has three short-form ALBA homologues (ALBA1-3) and three long-form ALBA homologues (ALBA4-6), both of which are conserved throughout the plant kingdom. Despite this ancient origin, ALBA-GUS translational fusions of ALBA1, ALBA2, ALBA4, and ALBA5 had indistinguishable expression patterns, all being preferentially expressed in young, rapidly dividing tissues. Likewise, all four ALBA proteins had indistinguishable ALBA-GFP subcellular localizations in roots, all being preferentially located to the cytoplasm, consistent with being mRNA-binding. Genetic analysis demonstrated redundancy within the long-form ALBA family members; in contrast to single alba mutants that all appeared wild-type, a triple alba456 mutant had slower rosette growth and a strong delay in flowering-time. RNA-sequencing found most differentially expressed genes in alba456 were related to metabolism, not development. Additionally, changes to the alba456 transcriptome were subtle, suggesting ALBA4-6 participates in a process that does not strongly affect transcriptome composition. Together, our findings demonstrate that ALBA protein function is highly redundant, and is essential for proper growth and flowering in Arabidopsis.\n\nHighlightThe RNA-binding ALBA proteins have indistinguishable expression patterns and subcellular localizations in Arabidopsis, acting redundantly to promote growth and flowering via a mechanism that does not strongly affect transcriptome composition.

plant biology↗