Biology subjects

Mazumder, B.

Publications and source records attributed to Mazumder, B..

6 recordsLinked to original sources

bioRxiv2026

Autocatalytic growth offset by constant degradation explains mass accumulation during B cell activation

How cells regulate growth is a fundamental question in cell biology. Here we use quantitative phase imaging (QPI) to measure the dry mass of individual naive primary mouse B cells during ex vivo stimulation. B cells undergo an approximately 4-fold increase in mass prior to first division, far exceeding the doubling in size typical of immortalized cell lines and enabling discrimination of growth models that are otherwise indistinguishable. We find that a pure exponential model of mass accumulation exhibits systematic error that is resolved by an offset exponential model, indicating that only an active fraction of cell mass participates in biosynthesis. Monte Carlo simulations establish when these two models can be discriminated as a function of final to initial mass ratio, the magnitude of the degradative pressure, and measurement precision. Analysis of growth rate versus mass independently confirms the offset exponential model and implies that it can be interpreted as indicating a constant degradative pressure that opposes exponential biosynthesis. This model is structurally equivalent to super-exponential growth models derived from autocatalytic ribosome dynamics in bacteria, with the exponential rate reflecting autocatalytic accumulation of biosynthetic machinery and the active mass fraction serving as a proxy for initial ribosomal capacity. Here, the low active fraction in quiescent B cells ([~]20%) is consistent with a limited ribosomal content of resting lymphocytes. Comparison of follicular and marginal zone B cells stimulated with CpG reveals a conserved degradative pressure across subtypes and stimulation conditions. These results demonstrate that deviations from pure exponential growth, previously identified in bacteria, extend to mammalian cells, suggesting that autocatalytic ribosome accumulation offset by constitutive protein turnover is a conserved feature of single-cell growth dynamics across domains of life.

biophysics↗

bioRxiv2026

High cRel-expressing germinal center B cells favor precursor plasma cell generation

Germinal centers (GCs) are the site of antibody affinity maturation by the process of somatic hypermutation (SHM) and produce long-lived plasma cells (PCs). GC B cells circulate between two distinct zones: the light zone (LZ) and the dark zone (DZ). It has been demonstrated that the transcription factor NF{kappa}B cRel is required for B cell proliferation and GC B cell maintenance. cRel-deleted GC B cells show reduced SHM and affinity maturation. In contrast, transgenic overexpression of cRel does not affect SHM and results in little or no increase in affinity maturation. Therefore, the function of cRel in regulating SHM and GC B cell-derived PC generation remains unknown. To understand the function of cRel in GC B cell selection, we have used cRel fluorescence reporter mice, which provide insight into cRel function in GC B cells at the level of natural expression variation. We found that about 6-9% of LZ cells increased cRel expression compared to DZ cells, and high cRel-expressing LZ cells showed increased SHM and increased expression of IRF4 and cyclin D2, though cMyc expression remained similar. Combining single-cell RNA-Seq and flow cytometry, we revealed that high cRel-expressing LZ cells are enriched for precursor PCs (pre-PCs), not precursor memory B cells (pre-MBCs). Our findings provide insight into the physiologic function of cRel in regulating GC B cell output.

immunology↗

bioRxiv2025

Brain cholesterol metabolites cause significant neurodegeneration in human iPSC-derived neurons

Disrupted cholesterol metabolism is increasingly recognised as a contributing factor in neurodegeneration; however, the specific effects of key brain-derived cholesterol metabolites, 24S-hydroxycholesterol (24S-HC) and 27-hydroxycholesterol (27-HC), remain poorly understood. Using human iPSC-derived i3 cortical neurons, we demonstrate that both 24S-HC and 27-HC significantly impair neuronal calcium signalling by elevating resting calcium levels, reducing spike amplitude, and disrupting network synchrony. These functional deficits are accompanied by widespread organelle dysfunction. Both oxysterols induce mitochondrial fragmentation, decrease spare respiratory capacity, and impair lysosomal degradation. Notably, 27-HC uniquely triggers lysosomal swelling and membrane permeabilisation. Additional signs of cellular stress, including axonal swellings and elevated endoplasmic reticulum calcium levels, were also observed. Furthermore, both 24S-HC and 27-HC were found to directly interact with alpha-synuclein (aSyn), promoting its accumulation in cellular models. In contrast, cholesterol itself had minimal impact, highlighting the distinct toxicity of its hydroxylated metabolites. Together, these findings reveal a mechanistic link between oxysterol accumulation and neuronal dysfunction, supporting the hypothesis that elevated levels of 24S-HC and 27-HC, commonly observed in Parkinsons and Alzheimers disease, may actively drive neurodegenerative processes. Targeting oxysterol metabolism may therefore represent a promising therapeutic avenue for intervention in neurodegenerative disorders.

neuroscience↗

bioRxiv2025

Deep learning for fluorescence lifetime predictions enables high-throughput in vivo imaging

Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a samples microenvironment. However, data collection and interpretation are often challenging, and traditional methods such as exponential fitting and phasor plot analysis require a high number of photons per pixel for reliably measuring the fluorescence lifetime of a fluorophore. To satisfy this requirement, prolonged data acquisition times are needed, which makes FLIM a low-throughput technique with limited capability for in vivo applications. Here, we introduce FLIMngo, a deep learning model capable of quantifying FLIM data obtained from photon-starved environments. FLIMngo outperforms other deep learning approaches and phasor plot analyses, yielding accurate fluorescence lifetime predictions from decay curves obtained with fewer than 50 photons per pixel by leveraging both time and spatial information present in raw FLIM data. Thus, FLIMngo reduces FLIM data acquisition times to a few seconds, thereby, lowering phototoxicity related to prolonged light exposure and turning FLIM into a higher throughput tool suitable for analysis of live specimens. Following the characterisation and benchmarking of FLIMngo on simulated data, we highlight its capabilities through applications in live, dynamic samples. Examples include the quantification of disease-related protein aggregates in non-anaesthetised Caenorhabditis (C.) elegans, which significantly improves the applicability of FLIM by opening avenues to continuously assess C. elegans throughout their lifespan. Finally, FLIMngo is open-sourced and can be easily implemented across systems without the need for model retraining.

biophysics↗

bioRxiv2024

Transcriptomic Landscape and Immune Microenvironment AroundWound Bed Define Regenerative versus Non-regenerative Outcomesin Mouse Digit Amputation

In the mouse distal terminal phalanx (P3), it remains unclear why amputation at less than 33% of the digit results in regeneration, while amputation exceeding 67% leads to non-regeneration. Unraveling the molecular mechanisms underlying this disparity could provide crucial insights for regenerative medicine. In this study, we aim to investigate the tissues within the wound bed to understand the tissue microenvironment associated with regenerative versus non-regenerative outcomes. We employed a P3-specific amputation model in mice, integrated with time-series RNA-seq and a macrophage assay challenged with pro- and anti-inflammatory cytokines, to explore these mechanisms. Our findings revealed that non-regenerative digits exhibit a greater intense early transcriptional response in the wound bed compared to regenerative ones. Furthermore, early macrophage phenotypes differ distinctly between regenerative and non-regenerative outcomes. Regenerative digits also display unique co-expression modules related to Bone Morphogenetic Protein 2 (BMP2). The differentially expressed genes (DEGs) between regenerative and non-regenerative digits are enriched in targets of several transcription factors, such as HOXA11 and HOXD11 from the HOX gene family, showing a time-dependent pattern of enrichment. These transcription factors, known for their roles in bone regeneration, skeletal patterning, osteoblast activity, fracture healing, angiogenesis, and key signaling pathways, may act as master regulators of the regenerative gene signatures. Additionally, we developed a deep learning AI model capable of predicting post-amputation time and level from RNA-seq data, with potential applications in personalized treatment strategies and assessing the impact of interventions on regenerative outcomes.

developmental biology↗

bioRxiv2019

Thyroid and androgen receptor signaling are antagonized by CRYM in prostate cancer

Androgen deprivation therapy (ADT) remains a key approach in the treatment of prostate cancer (PCa). However, PCa inevitably relapses and becomes ADT resistant. Besides androgens, there is evidence that thyroid hormone thyroxine (T4) and its active form 3,5,3-triiodo-L-thyronine (T3) are involved in the progression of PCa. Epidemiologic evidence indicates a higher incidence of PCa in men with elevated thyroid hormone levels. The thyroid hormone binding protein -Crystallin (CRYM) mediates intracellular thyroid hormone action by sequestering T3 and blocks its binding to cognate receptors (TRa/TRb) in target tissues. We show in this study that low CRYM expression levels in PCa patient samples are associated with early BCR and poor prognosis. Moreover, we found a disease stage-specific expression of CRYM in PCa. CRYM counteracted thyroid and androgen signaling and blocked intracellular choline uptake. CRYM inversely correlated with [18F]fluoromethylcholine (FMC) levels in PET/MRI imaging of PCa patients. Our data suggest CRYM as a novel antagonist of T3 and androgen-mediated signalling. The role of CRYM could therefore be an essential control mechanism for the prevention of aggressive PCa growth. HighlightsO_LIThyroid and androgen hormone driven pathways in prostate cancer (PCa) are antagonized by - Crystallin (CRYM). C_LIO_LI[18F]fluoromethylcholine uptake and prognostic values in PCa correlate with CRYM protein levels. C_LIO_LIReduced CRYM expression predicts early biochemical recurrence (BCR) in PCa patients. C_LI

cancer biology↗