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Biology subjects

Veerasubramanian, P. K.

Publications and source records attributed to Veerasubramanian, P. K..

3 recordsLinked to original sources

Combination antagonism of TNF superfamily signaling for T cell immunosuppression

The tumor necrosis factor (TNF) and TNF receptor (TNFR) superfamilies comprise 47 proteins that regulate immune signaling and T cell costimulation. While TNF inhibitors are established therapies for immune-mediated inflammatory diseases (IMIDs), their efficacy is limited by primary non-response and loss of efficacy over time. Preclinical evidence suggests that TNF/TNFR members exhibit redundant and synergistic signaling, motivating combination targeting strategies. In this study, we have systematically evaluated TNF/TNFR combinations as potential immunotolerance targets using integrated computational and experimental approaches. We applied a gene prioritization framework incorporating transcriptomics, genetics, druggability, and pathway regulation data to derive disease association scores for the TNF/TNFR genes in rheumatoid arthritis and inflammatory bowel diseases. These scores, together with T cell expression profiling, were used to prioritize ten targets for combinatorial screening in mixed lymphocyte reactions using clinical-stage and preclinical pharmacological inhibitors. Four combinations of drugs inhibiting TNF+CD40L, TNF+OX40L, CD40L+OX40L, and CD40L+LT{beta}/LIGHT each in combination significantly reduced T cell production of IL-2 and IFN-{gamma}. RNA-Seq analysis revealed that these combinations downregulated genes involved in T cell activation, proliferation, differentiation, and cytokine production that were upregulated during allogeneic responses. Notably, TNF+CD40L co-inhibition (Adalimumab+Dapirolizumab) produced the most robust suppression, uniquely downregulating 337 genes enriched for T cell activation pathways including NF-{kappa}B, ERK1/2, and cytokine production. These findings demonstrate that combinatorial TNF/TNFR targeting can potently suppress allogeneic T cell responses and support further preclinical evaluation as a tolerance-inducing therapeutic strategy for refractory IMIDs.

immunology↗

L-Cells are the Functional Neuropod Cell in Human Gastrointestinal Tract and are Dysregulated in Inflammatory Bowel Disease (IBD)

Neuropod cells are a newly discovered type of enteroendocrine cell (EEC) that connect the gut and brain functionally into one circuit. In the mouse colon, neuropod cells express various peptide hormones, such as Pyy and Glp1, presynaptic proteins, and make synaptic contacts with sensory neurons. While their function is not fully elucidated, they play a significant role in relaying signals to the brainstem upon sensing nutrients and microbial factors in the gut lumen. Their occurrence in the human gastrointestinal tract is currently not established. In this study, we showed that PYY-expressing cells (L-cells) in the human colon exhibit characteristics of neuropod cells. Utilizing advanced histological methods and confocal microscopy we found that L-cells of the healthy human colon possess distinctive morphology, express synaptic proteins, and exist proximal to sensory neurons. This agrees with our meta-analysis of single-cell RNA sequencing (scRNA-Seq) data that showed that human colonic L-cells express pre- and post-synaptic genes. As inflammatory conditions could affect colonic neuropod cells, we aimed to profile the phenotypic and transcriptional changes of neuropod cells both in human and murine colon in Inflammatory Bowel Disease (IBD) and experimental colitis, respectively. In human IBD, the abundance of neuropod cells and spatial proximity to sensory neurons were decreased in the colon of ulcerative colitis (UC) and Crohns disease (CD) patients. L-cells in IBD patients display genes related to innate and adaptive immunity, including antigen presentation genes suggesting a role in immune regulation. We further confirmed the effects of intestinal inflammation in neuropod cells by utilizing the DSS mouse model of colitis, where we showed that acute DSS colitis induced spatially distinct effects on the abundance of neuropod cells and impaired the synaptic connection with sensory neurons. Overall, these findings extend early murine characterizations to the human system and highlight the complex interactions between colonic neuropod cells and the enteric nervous and immune systems during inflammatory diseases.

cell biology↗

Nucleosome placement and polymer mechanics explain genomic contacts on 100kbp scales

The 3d organization of the genome -- in particular, which two regions of DNA are in contact with each other -- plays a role in regulating gene expression. Several factors influence genome 3d organization. Nucleosomes (where [~] 100 basepairs of DNA wrap around histone proteins) bend, twist and compactify chromosomal DNA, altering its polymer mechanics. How much does the positioning of nucleosomes between gene loci influence contacts between those gene loci? And, to what extent are polymer mechanics responsible for this? To address this question, we combine a stochastic polymer mechanics model of chromosomal DNA including twists and wrapping induced by nucleosomes with two data-driven pipelines. The first estimates nucleosome positioning from ATACseq data in regions of high accessibility. Most of the genome is low-accessibility, so we combine this with a novel image analysis method that estimates the distribution of nucleosome spacing from electron microscopy data. There are no fit parameters in the biophysical model. We apply this method to IL6, IL15, CXCL9, and CXCL10, inflammatory marker genes in macrophages, before and after inflammatory stimulation, and compare the predictions with contacts measured by conformation capture experiments (4C-seq). We find that within a 500 kilo-basepairs genomic region, polymer mechanics with nucleosomes can explain 71% of close contacts. These results suggest that, while genome contacts on 100kbp-scales are multifactorial, they may be amenable to mechanistic, physical explanation. Our work also highlights the role of nucleosomes, not just at the loci of interest, but between them, and not just the total number of nucleosomes, but their specific placement. The method generalizes to other genes, and can be used to address whether a contact is under active regulation by the cell (e.g., a macrophage during inflammatory stimulation).

biophysics↗