Biology subjects

Greenberg, P.

Publications and source records attributed to Greenberg, P..

4 recordsLinked to original sources

bioRxiv2026

Epithelial MHC II antigen presentation dynamically informs intestinal homeostasis and injury

The intestinal epithelium plays a pivotal role in balancing immune tolerance and inflammation, yet how it communicates tissue state to the adaptive immune system remains unclear. Here, we show that intestinal epithelial cells (IECs) encode tissue identity and injury into the major histocompatibility complex class II (MHC II) ligandome. We employed integrated single cell transcriptomics, quantitative proteomics, and high-depth in vivo immunopeptidomics to map the MHC class II self-peptidome of the mouse small intestine across epithelial and immune compartments. Mature enterocytes and intestinal stem cells (ISCs) emerged as the dominant epithelial antigen-presenting cells (APCs), displaying a compartmentalized repertoire of endogenous self-immunopeptides reflecting epithelial differentiation and function. Disruption of epithelial MHC II expression led to loss of antigenic compartmentalization, immune infiltration, extracellular matrix remodeling, and emergence of inflammation-associated immune ligands, demonstrating that epithelial MHC II is required to maintain homeostasis. Functionally, a subset of ISC-derived self-immunopeptides preferentially promotes regulatory CD4{square} T cell responses, linking epithelial antigen presentation and peripheral tolerance. During gut inflammation, the epithelial MHC II landscape shifted toward damage-associated antigens. Together, these findings establish epithelial MHC II presentation as a context-dependent tissue-immune communication system that promotes tolerance in homeostasis and alerts to tissue injury during inflammation.

immunology↗

bioRxiv2024

Newborn reactions to maternal prenatal stress alter umbilical cord blood tRNA fragments targeting cholinergic transcripts

Maternal perceived prenatal stress (PPS) is a known risk factor for diverse developmental impairments in newborns, but the underlying molecular processes are incompletely understood. Here, we report that maternal PPS altered the birth profiles of blood transfer RNA fragments (tRFs), 16-50nt long non-random cleavage products of tRNAs, in a sex-dependent manner. Importantly, comparing stressed versus control maternal and umbilical cord blood serum presented alterations that were not limited to individual tRFs, but rather reflected selective changes in particular tRF families grouped by their mitochondrial or nuclear genome origin, parental tRNA coded amino acid, and cleavage type. tRF families that show stress- and sex-specific effects, revealed shared length and expression patterns which were strongest in the female newborns. Several of these tRFs carry complementary motifs to specific cholinergic mRNAs, suggesting possible translational regulation similar to microRNAs. Compatible with the cholinergic regulation of stress reactions, those "CholinotRFs" achieved an AUC of 95% when classifying female newborns according to maternal PPS. Moreover, we found altered catalytic activity of serum acetylcholinesterase, which was particularly elevated in male newborns, marking a second sex-specific effect. Our findings demonstrate an association of tRF families patterns with newborns sex-specific stress response to PPS and may lead to better diagnosis and therapeutic tools for these and other stressors.

molecular biology↗

bioRxiv2024

A comparative analysis across species of maternal mRNA regulation in embryos using QUANTA

AbstractThe post-transcriptional regulation of mRNAs greatly impacts gene expression dynamics, but the underlying regulatory kinetics and sequence rules and how they change between organisms remain elusive. Thousands of pre-loaded maternal transcripts are post-transcriptionally regulated within metazoan embryos, making it an ideal system to investigate mRNA regulation. We present QUANTA, a computational strategy to distinguish transcriptionally silent genes and analyze their regulation. QUANTA uses kinetic models to compare total and polyA+ expression patterns, and dissect quantitative rates of mRNA polyadenylation and degradation. QUANTA analysis of maternally provided mRNAs in zebrafish, frog, mouse and human embryos shows that widespread polyadenylation precedes their degradation. Degradation rates are proportional to the developmental pace of organisms and diverge between orthologs. Rates also scale by adjusting developmental pace of zebrafish with external temperature. Finally, we implement a massively parallel reporter assay that is compatible with QUANTA analysis in zebrafish embryos, and analyze the effects of 3UTR sequences on mRNA kinetics. We pinpoint potential regulatory signals in 3UTRs of each organism. These reveal signals to accelerate maternal degradation in fast-developing organisms, while in slow-developing organisms signals enhance mRNA stability. Our work provides a general strategy to quantify post-transcriptional mRNA kinetics and investigate its sequence-based rules.

systems biology↗

bioRxiv2020

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories

Host immune responses play central roles in controlling SARS-CoV2 infection, yet remain incompletely characterized and understood. Here, we present a comprehensive immune response map spanning 454 proteins and 847 metabolites in plasma integrated with single-cell multi-omic assays of PBMCs in which whole transcriptome, 192 surface proteins, and T and B cell receptor sequence were co-analyzed within the context of clinical measures from 50 COVID19 patient samples. Our study reveals novel cellular subpopulations, such as proliferative exhausted CD8+ and CD4+ T cells, and cytotoxic CD4+ T cells, that may be features of severe COVID-19 infection. We condensed over 1 million immune features into a single immune response axis that independently aligns with many clinical features and is also strongly associated with disease severity. Our study represents an important resource towards understanding the heterogeneous immune responses of COVID-19 patients and may provide key information for informing therapeutic development.

immunology↗