Biology subjects

Dastidar, S. G.

Publications and source records attributed to Dastidar, S. G..

4 recordsLinked to original sources

bioRxiv2025

dCas9 targeted proteome profiling reveals p300-mediated reciprocal regulation of SMAD and SP1 as a driver of GM2 synthase transcription in renal cell carcinoma

Glycolipids constitute an important component of the plasma membrane based on both abundance as well as function. Gangliosides, being a class of structurally diverse and functionally varied glycolipids, can act both as a receptor as well as a ligand and therefore is established as a crucial player in several normal cellular processes. In certain diseases, and in particular cancer, select gangliosides are over-expressed often leading to disease manifestation. GM2-synthase, the enzyme responsible for the formation of a pro-tumorigenic ganglioside, GM2 is well reported to be over-expressed across various cancer tissues and cell lines. This over-expression of GM2-synthase has been linked with increased migration, invasion and epithelial to mesenchymal transition (1) as well as induction of a local and systemic host immune suppression in cancer. Despite only a handful of studies demonstrating an epigenetic regulation underlying the transcriptional regulation of GM2-synthase (B4GalNT1) gene, the detailed mechanism still remains unclear. Here we identified the total proteome associated with the GM2-synthase promoter through a two-step CRISPR-dCas9 based proteome profiling approach by categorizing all the identified proteins leading to a detailed elucidation of the molecular drivers behind GM2-synthase transcription. While the previous study identified an acetylation-dependent de-repression of the transcription factor SP1 causing GM2-synthase activation, the underlying molecular mechanism driving its activation wasnt clear. This study demonstrated that the histone acetyl transferase (2), p300 acts as a pivotal factor which on one hand cause acetylation-mediated degradation of SP1, and on the other hand activates SMAD2/4 to have a direct positive impact on GM2-synthase gene transcription. We identified p300 to have an activator role in GM2-synthase gene transcription through knock out, knock down and over-expression experiments. Furthermore, SP1 degradation, SMAD activation and their DNA binding patterns show the reciprocal role of p300 on SP1 and SMAD complexes. Altogether we have identified SMAD 2/4 as an activator complex, p300 as a positive regulator and uncovered a critical p300-SMAD-SP1 regulatory axis in GM2-synthase transcriptional regulation.

molecular biology↗

bioRxiv2024

The binary protein interactome mapping of the Giardia lamblia proteasome lid reveals extra proteasomal functions of GlRpn11

Giardia lamblia does not encode Rpn12 and Sem1, two proteins crucial for assembling the proteasome lid. To understand how the interactions between the giardial proteasome lid subunits may have changed to compensate for their absence, we used the yeast two-hybrid assay to generate a binary protein interaction map of the Giardia lid subunits. Most interactions within the Giardia proteasome lid are stronger than those within the Saccharomyces cerevisiae lid. These may compensate for the absence of Rpn12 and Sem1. A notable exception was the weaker interaction between GlRpn11 and GlRpn8, compared to the strong interaction between Rpn11-Rpn8 of yeast. The Rpn11-Rpn8 dimer provides a platform for lid assembly and their interaction involves the insertion of a methionine residue of Rpn11 into a hydrophobic pocket of Rpn8. Molecular modeling indicates that GlRpn8s pocket is wider, reconciling the experimental observation of its weak interaction with GlRpn11. This weaker interaction may have evolved to support extra proteasomal functions of GlRpn11, which localizes to multiple subcellular regions where other proteasome subunits have not been detected. One such location is the mitosome. Functional complementation in yeast shows that GlRpn11 can influence mitochondrial function and distribution. This, together with its mitosomal localization, indicates that GlRpn11 functions at the mitosome. Thus, this parasites proteasome lid has a simpler subunit architecture and structural attributes that may support dual functionalities for GlRpn11. Such parasite-specific proteasome features could provide new avenues for controlling the transmission of Giardia. 1 Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/613619v1_ufigs1.gif" ALT="Figure 0"> View larger version (33K): org.highwire.dtl.DTLVardef@989e69org.highwire.dtl.DTLVardef@1c8134aorg.highwire.dtl.DTLVardef@6a9794org.highwire.dtl.DTLVardef@5ac20_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGiardia genome does not encode two proteasomal lid subunits: Rpn12 and Sem1 C_LIO_LIUnique interactions within the lid may compensate for the absence of these two C_LIO_LIGlRpn8:GlRpn11 weakly interacts to support GlRpn11s extra-proteasomal distribution C_LIO_LIGlRpn11 localizes at mitosomes, OZ of VD, and to the VFP C_LIO_LIThe 182-218 fragment of GlRpn11 may regulate mitosomal function C_LI

cell biology↗

bioRxiv2024

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted from literature that were developed to predict vaccine antibody responses in other settings performed poorly, reinforcing the need for purpose-built models. Overall, this demonstrates the value of purpose-generated datasets for rigorous and open model evaluations to identify features that improve the reliability and applicability of computational models in vaccine response prediction.

immunology↗

bioRxiv2022

Targeting MAPAKAP2(MK2) to combat inflammation by avoiding the differential regulation of anti-inflammatory genes by p38 MAPK inhibitors

p38 mitogen-activated protein kinase (p38 MAPK) plays an important role in the key cellular processes related to inflammation. Several small molecule inhibitors of p38 MAPK therefore have been evaluated for their anti-inflammatory potential and progressed from early discovery to late phase clinical trials. Most of these efforts however have failed due to severe toxicity concerns. Since p38 MAPK has several downstream substrates, inhibition of p38 MAPK, therefore, leads to the modulation of all its substrates, resulting into a dis-balance of pro- and anti-inflammatory response and multiple toxicity concerns. Targeting p38MAPK MAPKAPK2 (MK2), one of the downstream substrates of p38 MAPK directly, is expected to be a better anti-inflammatory approach without having any toxicity concerns. In this manuscript, we are reporting biological data of representative MK2 inhibitor to validate its anti-inflammatory potential and a comparison of p38 MAPK and MK2 inhibitors in cell based assays to understand their relative toxicities.

pharmacology and toxicology↗