Biology subjects

Ciryam, P.

Publications and source records attributed to Ciryam, P..

8 recordsLinked to original sources

bioRxiv2026

Regulation of protein kinase pathways in primary neuron model of anti-NMDA receptor encephalitis.

The most common form of autoimmune encephalitis is associated with antibodies that target N-methyl-D-aspartic acid receptors (NMDARs). NMDARs play a pivotal role in neurotransmission and synaptic plasticity. Mounting evidence has shown that antibody targeting of the NMDAR GluN1 subunit, as in anti-NMDAR encephalitis, leads to NMDAR cross-linking and receptor internalization. However, the underlying signaling pathways affected by antibodies targeting NMDARs remain to be explored. We previously demonstrated that a human GluN1 monoclonal antibody 5F5 (GluN1 mAb 5F5) rapidly localizes to and regulates synaptic NMDAR function at native synapses of primary hippocampal neurons. Here, we sought to explore signaling targets of GluN1 mAb 5F5 in primary cortical neurons of either sex using subcellular fractionation, Western blotting, and label-free quantitative phosphoproteomics by mass spectrometry. We find that human GluN1 mAb 5F5 does not change NMDAR abundance or surface levels of GluN1 on primary cortical neurons at 2 hr. Despite this, we observe that GluN1 mAb 5F5 alters the phosphoproteome in synaptoneurosomes and regulates numerous synapse-related biological processes and protein kinase activities. Bioinformatic analyses suggest that these phosphoproteomic changes are positively correlated with NMDAR activation and negatively correlated with NMDAR inhibition. Together, these data suggest that GluN1 mAb 5F5 alters intracellular kinase signaling pathways in primary cortical neurons, likely by activating the NMDAR. These studies may help to identify novel therapeutic strategies for anti-NMDAR encephalitis and other antibody-mediated encephalitides targeting cell surface antigens.

neuroscience↗

bioRxiv2025

Single-nucleus RNA sequencing reveals the cellular diversity of cerebrospinal fluid in the context of intraventricular hemorrhage

BackgroundIntraventricular hemorrhage (IVH) is a common and severe complication of hemorrhagic brain injury. Current treatments offer limited improvement in long-term neurological outcomes. Inflammatory responses in the cerebrospinal fluid (CSF) after IVH are thought to drive secondary injury, but the cellular mechanisms underlying this inflammation remain poorly defined. MethodsWe performed single-nucleus RNA sequencing of leukocytes isolated from CSF collected through external ventricular drains in subjects with intracerebral (n = 6) or subarachnoid (n = 1) hemorrhage. We characterized transcriptionally distinct subpopulations of neutrophils, monocytes, and lymphocytes by comparison to reference datasets. Cell-cell signaling networks were analyzed to infer cytokine-mediated communication, and a flow cytometry panel was developed to validate transcriptomic findings in independent CSF samples. ResultsWe obtained 11,191 high-quality nuclei comprising neutrophils (53.8%), monocytes (26.1%), lymphocytes (17.8%), and non-immune cells (2.4%). Neutrophils segregated into Nascent, Quiescent, and Interferon-Activated states. Monocytes exhibited classical phenotypes that include interferon-activated states (characterized by expression of VCAN or PROK2) and CXC-chemokine expressing states (characterized by expression of CXCL5 or CXCL8). Lymphocytes were mainly naive and central memory CD4 T cells. Cell-cell signaling analysis predicted strong CXC chemokine signaling from monocytes to neutrophil subsets and IL-1 family-driven inflammatory responses across multiple populations. Type I and III interferon signaling defined a neutrophil population not previously described in the central nervous system. ConclusionThis study delineates the diverse cellular immune landscape of CSF after IVH. Transcriptomic profiles reveal interferon, IL-1, and CXC chemokine signaling networks as potential therapeutic targets to mitigate secondary injury.

genomics↗

bioRxiv2024

RiboTag RNA Sequencing Identifies Local Translation of HSP70 In Astrocyte Endfeet After Cerebral Ischemia

Brain ischemia causes disruption in cerebral blood flow and blood-brain barrier (BBB) integrity which are normally maintained by the astrocyte endfeet. Emerging evidence points to dysregulation of the astrocyte translatome during ischemia, but its effects on the endfoot translatome are unknown. In this study, we aimed to investigate the early effects of ischemia on the astrocyte endfoot translatome in a rodent model of cerebral ischemia-reperfusion. To do so, we immunoprecipitated astrocyte-specific tagged ribosomes (RiboTag IP) from mechanically isolated brain microvessels. In mice subjected to middle cerebral artery occlusion and reperfusion and contralateral controls, we sequenced ribosome-bound RNAs from perivascular astrocyte endfeet and identified 205 genes that were differentially expressed in the translatome after ischemia. Pathways associated with the differential expressions included proteostasis, inflammation, cell cycle, and metabolism. Transcription factors whose targets were enriched amongst upregulated translating genes included HSF1, the master regulator of the heat shock response. The most highly upregulated genes in the translatome were HSF1-dependent Hspa1a and Hspa1b, which encode the inducible HSP70. We found that HSP70 is upregulated in astrocyte endfeet after ischemia, coinciding with an increase in ubiquitination across the proteome. These findings suggest a robust proteostasis response to proteotoxic stress in the endfoot translatome after ischemia. Modulating proteostasis in endfeet may be a strategy to preserve endfeet function and BBB integrity after ischemic stroke.

neuroscience↗

bioRxiv2020

Pairs of amino acids at the P- and A-sites of the ribosome predictably and causally modulate translation-elongation rates

Variation in translation-elongation kinetics along a transcripts coding sequence plays an important role in the maintenance of cellular protein homeostasis by regulating co-translational protein folding, localization, and maturation. Translation-elongation speed is influenced by molecular factors within mRNA and protein sequences. For example, the presence of proline in the ribosomes P- or A-site slows down translation, but the effect of other pairs of amino acids, in the context of all 400 possible pairs, has not been characterized. Here, we study Saccharomyces cerevisiae using a combination of bioinformatics, mutational experiments, and evolutionary analyses, and show that many different pairs of amino acids and their associated tRNA molecules predictably and causally encode translation rate information when these pairs are present in the A- and P-sites of the ribosome independent of other factors known to influence translation speed including mRNA structure, wobble base pairing, tripeptide motifs, positively charged upstream nascent chain residues, and cognate tRNA concentration. The fast-translating pairs of amino acids that we identify are enriched four-fold relative to the slow-translating pairs across Saccharomyces cerevisiaes proteome, while the slow-translating pairs are enriched downstream of domain boundaries. Thus, the chemical identity of amino acid pairs contributes to variability in translation rates, elongation kinetics are causally encoded in the primary structure of proteins, and signatures of evolutionary selection indicate their potential role in co-translational processes.

molecular biology↗

bioRxiv2019

Escalating protein supersaturation underlies inclusion formation in muscle proteinopathies

Abundant, aggregation prone or \"supersaturated\" proteins are a feature of neurodegeneration. Whether the principle of supersaturation can similarly explain the widespread aggregation that occurs in non-neuronal protein conformational disorders and underlies pathogenic protein aggregate formation is not established. To test this prediction we analyzed proteomic datasets of biopsies from genetic and acquired protein aggregate myopathy (PAM) patients by quantifying the changes in composition, concentration and aggregation propensity of proteins in the fibers containing inclusions and those surrounding them. We found that similar to neurodegeneration, a supersaturated subproteome of aggregate prone proteins is present in skeletal muscle from healthy patients. This subproteome escalates in degree of supersaturation as proteomic samples are taken more proximal to the pathologic inclusion, eventually exceeding its solubility limits and aggregating. While most supersaturated proteins decrease or maintain steady abundance across healthy fibers and inclusion containing fibers, supersaturated proteins within the aggregate subproteome rise in abundance, suggesting they escape normal regulation. We show in the context of a human conformational disorder that the level of supersaturation of a metastable subproteome helps to explain widespread aggregation and correlates with the histopathological state of the tissue.\n\nSignificanceIncreasing evidence implicates the phenomenon of protein supersaturation with the selective vulnerability of specific cells to protein misfolding disorders. Quantitative studies of this phenomenon, however, have only been possible post mortem in the case of neurodegenerative diseases. To overcome this limitation, we study here protein aggregate myopathies (PAMs), for which we were able to carry out systematic single fiber proteomic studies on patient-derived samples. We found not only that proteins associated with PAM inclusions are highly supersaturated in muscle but also that their supersaturation levels increases further in affected fibers. These results provide a clear illustration of how an escalation in supersaturation leads protein inclusions in vulnerable cells.

biophysics↗

bioRxiv2018

Identifying A- and P-site locations on ribosome-protected mRNA fragments using Integer Programming

Identifying the A- and P-site locations on ribosome-protected mRNA fragments from Ribo-Seq experiments is a fundamental step in the quantitative analysis of transcriptome-wide translation properties at the codon level. Many analyses of Ribo-Seq data have utilized heuristic approaches applied to a narrow range of fragment sizes to identify the A-site. In this study, we use Integer Programming to identify A-site by maximizing an objective function that reflects the fact that the ribosomes A-site on ribosome-protected fragments must reside between the second and stop codons of an mRNA. This identifies the A-site location as a function of the fragments size and its 5{square} end reading frame in Ribo-Seq data generated from S. cerevisiae and mouse embryonic stem cells. The correctness of the identified A-site locations is demonstrated by showing that this method, as compared to others, yields the largest ribosome density at established stalling sites. By providing greater accuracy and utilization of a wider range of fragment sizes, our approach increases the signal-to-noise ratio of underlying biological signals associated with translation elongation at the codon length scale.

bioinformatics↗

bioRxiv2018

A Chemical Kinetic Basis for Measuring Translation Initiation and Elongation Rates from Ribosome Profiling data

Analysis methods based on simulations and optimization have been previously developed to estimate relative translation rates from next-generation sequencing data. Translation involves molecules and chemical reactions; hence, bioinformatics methods consistent with the laws of chemistry and physics are more likely to produce accurate results. Here, we derive simple equations based on chemical kinetic principles to measure the translation-initiation rate, transcriptome-wide elongation rate, and individual codon translation rates from ribosome profiling experiments. Our methods reproduce the known rates from ribosome profiles generated from detailed simulations of translation. Applying our methods to data from S. cerevisiae and mouse embryonic stem cells we find that the extracted rates reproduce expected correlations with various molecular properties. A codon can exhibit up to 26-fold variability in its translation rate depending upon its context within a transcript. This broad distribution means that the average translation rate of a codon is not representative of the rate at which most instances of that codon are translated. We also find that mouse embryonic stem cells have a global translation speed of 5.2 AA/s, is similar to what has been previous reported using another analysis method. This large variability in translation rates suggests that translational regulation might be used by cells to a greater degree than previously thought.

bioinformatics↗

bioRxiv2017

SOD1A4V aggregation alters ubiquitin homeostasis in ALS

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving the selective death of upper and lower motor neurons in the primary motor cortex and spinal cord. A hallmark of ALS pathology is the accumulation of ubiquitinated protein inclusions within motor neurons. Previous studies suggest the sequestration of ubiquitin (Ub) into inclusions reduces the availability of free Ub, which is essential for cellular function and survival. However, the dynamics of the Ub landscape in ALS have not yet been described. Here we show that Ub homeostasis is altered in a SOD1 cell model of ALS. Utilising fluorescently tagged Ub, we followed the distribution of Ub in living cells expressing SOD1 and show that Ub is present at the earliest stages of SOD1 aggregation. We also report that cells containing aggregates of mutant SOD1 have greater ubiquitin-proteasome system (UPS) dysfunction as measured by the accumulation of the fluorescent proteasome reporter tdTomatoCL1. Furthermore, SOD1 aggregation is associated with the redistribution of Ub and depletion of the free Ub pool. Ubiquitomics analysis indicates that mutant SOD1 is associated with a shift of Ub to a pool of supersaturated proteins including those associated with oxidative phosphorylation and metabolism, corresponding with altered mitochondrial morphology and function. Taken together, these results suggest misfolded SOD1 contributes to UPS dysfunction and that Ub homeostasis is an important target for monitoring pathological changes in ALS.

molecular biology↗