Biology subjects

Ravishankar, A.

Publications and source records attributed to Ravishankar, A..

5 recordsLinked to original sources

bioRxiv2025

Signaling induced biophysical disruption of repressed chromatin domains drives immune cell fate

Cell fate transitions require signal-induced chromatin derepression, yet mechanisms governing transitions from repressed to active chromatin states are poorly understood. We discover, at fate-defining genes across immune cell types, a signal-induced histone code, and describe domains of H3 serine 28 phosphorylation (H3S28ph) spanning architectural features, often coincident with repressive H3 lysine 27 trimethylation (H3K27me3). Employing biophysical, single cell, and functional approaches to study signal-induced cell differentiation in the immune system, we uncover epigenomic transitions and cell fate choices precipitated by histone phosphorylation (H3ph). Mechanistically, H3ph overrides Polycomb Repressive Complex 2 (PRC2) chromatin repression, biophysically disrupts polynucleosome compaction, and promotes loss of H3K27me3, while increasing activating H3K27 acetylation and H3K36 dimethylation to drive domain interactivity and stabilize transcription. We demonstrate the activity of H3ph in several cell fate transitions and illuminate biophysical mechanisms enabling rapid signal-activated chromatin derepression, processes with general relevance for cellular differentiation and activation.

immunology↗

bioRxiv2025

Highly replicated experiments studying complex genotypes using nested DNA barcodes.

Many biological experiments involve studying the differences caused by genetic modifications, including genotypes composed of modifications at more than one locus. However, as the number and complexity of the genotypes increases, independently generating and tracking the necessary number of biological replicate samples becomes a major challenge. We developed a barcode-based method to track large numbers of independent replicates of combinatorial genotypes in a pooled format, enabling robust detection of subtle phenotypic differences. To construct a plasmid library of combinatorial genotypes, we utilized a nested serial cloning process to combine gene variants of interest that have associated DNA barcodes. The final plasmids each contain variants of multiple genes of interest, and a combined barcode that specifies the genotype of all the genes while also encoding a random sequence for tracking individual replicates. Sequencing of the pool of barcodes by next-generation sequencing allows the whole population to be studied in a single flask, enabling a high degree of replication even for complex genotypes. Using this approach, we tested the functionality of combinations of yeast, human, and null orthologs of the nucleotide excision repair factor I (NEF-1) complex and found that cells expressing all three yeast NEF-1 subunits had superior growth in DNA-damaging conditions. We also assessed the sensitivity of our method by simulating downsampling of barcodes across different degrees of phenotypic differentiation. Our results demonstrate the utility of NICR barcodes for high-throughput combinatorial genetic screens and provide a scalable framework for exploring complex genotype-phenotype relationships.

genetics↗

bioRxiv2022

Epigenetic Memory of COVID-19 in Innate Immune Cells and Their Progenitors

Severe coronavirus disease 2019 (COVID-19) is characterized by systemic inflammation and can result in protracted symptoms. Robust systemic inflammation may trigger persistent changes in hematopoietic cells and innate immune memory through epigenetic mechanisms. We reveal that rare circulating hematopoietic stem and progenitor cells (HSPC), enriched from human blood, match the diversity of HSPC in bone marrow, enabling investigation of hematopoiesis and HSPC epigenomics. Following COVID-19, HSPC retain epigenomic alterations that are conveyed, through differentiation, to progeny innate immune cells. Epigenomic changes vary with disease severity, persist for months to a year, and are associated with increased myeloid cell differentiation and inflammatory or antiviral programs. Epigenetic reprogramming of HSPC may underly altered immune function following infection and be broadly relevant, especially for millions of COVID-19 survivors. One Sentence SummaryTranscriptomic and epigenomic analysis of blood reveal sustained changes in hematopoiesis and innate immunity after COVID-19. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/479588v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@1ffe42dorg.highwire.dtl.DTLVardef@dd4868org.highwire.dtl.DTLVardef@1bcae8borg.highwire.dtl.DTLVardef@674e85_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2019

Phosphorylation of the ancestral histone variant H3.3 amplifies stimulation-induced transcription

Complex organisms are able to rapidly induce select genes among thousands in response to diverse environmental cues. This occurs in the context of large genomes condensed with histone proteins into chromatin. The macrophage response to pathogen sensing, for example, rapidly engages highly conserved signaling pathways and transcription factors (TFs) for coordination of inflammatory gene induction1-3. Enriched integration of histone H3.3, the ancestral histone H3 variant, is a feature of inflammatory genes and, in general, dynamically regulated chromatin and transcription4-7. However, little is known of how chromatin is regulated at rapidly induced genes and what features of H3.3, conserved from yeast to human, might enable rapid and high-level transcription. The amino-terminus of H3.3 contains a unique serine residue as compared with alanine residues found in \"canonical\" H3.1/2. We find that this H3.3-specific serine residue, H3.3S31, is phosphorylated (H3.3S31ph) in a stimulation-dependent manner along the gene bodies of rapidly induced response genes in mouse macrophages responding to pathogen sensing. Further, this selective mark of stimulation-responsive genes directly engages histone methyltransferase (HMT) SETD2, a component of the active transcription machinery. Our structure-function studies reveal that a conserved positively charged cleft in SETD2 contacts H3.3S31ph and specifies preferential methylation of H3.3S31ph nucleosomes. We propose that features of H3.3 at stimulation induced genes, including H3.3S31ph, afford preferential access to the transcription apparatus. Our results provide insight into the function of ancestral histone variant H3.3 and the dedicated epigenetic mechanisms that enable rapid gene induction, with implications for understanding and treating inflammation.

biochemistry↗

bioRxiv2019

Thickening of the cell wall increases the resistance of S. cerevisiae to commercial formulations of glyphosate

The use of glyphosate-based herbicides is widespread and despite its extensive use, its effects are yet to be deciphered completely. The additives in commercial formulations of glyphosate, though labeled as inert when used individually, have adverse effects when used in combination with other additives and the active ingredient. As a species, Saccharomyces cerevisiae has a wide range of resistance to glyphosate-based herbicides. To investigate the underlying genetic differences between sensitive and resistant strains, global changes in gene expression were measured when yeast were exposed to a commercial formulation of glyphosate (CFG). Changes in gene expression involved in numerous pathways such as DNA replication, MAPK signaling, meiosis, and cell wall synthesis. Because so many diverse pathways were affected, these strains were then subjected to in-lab-evolutions (ILE) to select mutations that confer increased resistance. Common fragile sites were found to play a role in adaptation mechanisms used by cells to attain resistance with long-term exposure to CFG. The cell wall structure acts as a protective barrier in alleviating the stress caused by exposure to CFG. The thicker the cell wall, the more resistant the cell is against CFG. Hence, a detailed study of the changes occurring at the genome and transcriptome level is essential to better understand the possible effects of CFG on the cell as a whole.\n\nAuthor SummaryWe are exposed to various chemicals in the environment on a daily basis. Some of these chemicals are herbicides that come in direct contact with the food we consume. This makes the thorough investigation of these chemicals crucial. Some of the most commonly used herbicides around the world are glyphosate-based. Their mode of action effects a biosynthetic pathway that is absent in mammals and insects and so it is deemed safe for consumption. However, there are many additives to these herbicides that increase its effects. Thorough testing of these commercially available herbicides is essential to decipher all the potentially adverse effects that it could have on a cell. Saccharomyces cerevisiae has a wide range of genetic diversity, making it is suitable to test different chemicals and identify any harmful effects. In this study, we exposed yeast cells to some glyphosate-based herbicides available in the market, to understand what effects it could have on a cell. We found that the additives in the herbicides have an effect on the cell wall and the mode of entry of glyphosate into the cell.

genetics↗