Biology subjects

Gottschalk, R. A.

Publications and source records attributed to Gottschalk, R. A..

6 recordsLinked to original sources

bioRxiv2026

Quantitative Modeling of TLR Signaling Reveals Missing Negative Feedback Guiding Identification of TANK-IKKε Checkpoint

Toll-like receptor (TLR) signaling must be activated rapidly and then terminated to support host defense without sustained inflammation. We developed a rule-based model of mouse macrophage TLR4 signaling at the molecular-interaction level using measured protein copy numbers, RNA-seq-based abundance estimates, literature- and structure-informed reaction rates, and 979 dynamic experimental constraints. The trained model reproduced much of the TLR4-induced NF-{kappa}B and MAP kinase response but consistently failed to capture deactivation of MyD88, TRAF6-associated species, and IKK/{beta}. The recurrent model failure conveyed important biological information, localizing missing regulation to the proximal MyD88-IRAK-TRAF6 module and guiding experimental evaluation of IKK{varepsilon} and its scaffold TANK. Loss of IKK{varepsilon} enhanced transcriptional, cytokine, MAP kinase, and NF-{kappa}B responses to MyD88-specific TLR ligands. TANK deficiency produced a similar cellular phenotype and abolished stimulus-induced IKK{varepsilon} phosphorylation. Deficiency of either protein increased IRAK1 and TRAF6 ubiquitination without increasing MyD88 ubiquitination, placing the inhibitory checkpoint at or immediately downstream of the IRAK1-TRAF6 ubiquitin-signaling node. Overlapping but non-identical in vivo phenotypes further supported a shared regulatory axis with additional protein-specific functions. Our study presents a model-experiment discovery cycle where quantitative pathway discordance identifies missing biology and reveals a TANK-dependent IKK{varepsilon} checkpoint that restrains MyD88-driven inflammation.

systems biology↗

bioRxiv2026

Regulatory network architecture constrains inflammatory responses in tissue-resident alveolar macrophages

Macrophages across different tissues exhibit remarkable functional diversity while maintaining core innate immune-cell programming. These complex programs are governed by gene regulatory networks, in which precise transcription factor activity tunes the expression of functionally relevant gene modules. Although the contributions of individual transcription factors have been well characterized, the higher-order regulatory interactions that coordinate tissue-resident macrophage identity and inflammatory response regulation remain poorly understood. Here, we integrate single-cell RNA-seq data with ATAC-seq profiling and deep-learning-based chromatin accessibility modeling to infer gene regulatory network architectures in tissue-resident versus recruited monocyte-derived alveolar macrophages under inflammatory stress. Our results suggest that inflammatory responses are more restrained in tissue-resident alveolar macrophages compared with recruited macrophages due to a stabilizing regulatory network architecture involving PU.1 and CEBP/{beta}. This work advances our understanding of functional plasticity in tissue-resident macrophages and their role in host defense.

immunology↗

bioRxiv2023

Proteome-wide base editor screens to assess phosphorylation site functionality in high-throughput

Signaling pathways that drive gene expression are typically depicted as having a dozen or so landmark phosphorylation and transcriptional events. In reality, thousands of dynamic post-translational modifications (PTMs) orchestrate nearly every cellular function, and we lack technologies to find causal links between these vast biochemical pathways and genetic circuits at scale. Here, we describe "signaling-to-transcription network" mapping through the development of PTM-centric base editing coupled to phenotypic screens, directed by temporally-resolved phosphoproteomics. Using T cell activation as a model, we observe hundreds of unstudied phosphorylation sites that modulate NFAT transcriptional activity. We identify the phosphorylation-mediated nuclear localization of the phosphatase PHLPP1 which promotes NFAT but inhibits NF{kappa}B activity. We also find that specific phosphosite mutants can alter gene expression in subtle yet distinct patterns, demonstrating the potential for fine-tuning transcriptional responses. Overall, base editor screening of PTM sites provides a powerful platform to dissect PTM function within signaling pathways.

systems biology↗

bioRxiv2023

Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework

The JAK-STAT pathway integrates complex cytokine signals via a limited number of molecular components, inspiring numerous efforts to clarify the diversity and specificity of STAT transcription factor function. We developed a computational workflow to make global cytokine-induced gene predictions from STAT phosphorylation dynamics, modeling macrophage responses to IL-6 and IL-10, which signal through common STATs, but with distinct temporal dynamics and contrasting functions. Our mechanistic-to-machine learning model identified select cytokine-induced gene sets associated with late pSTAT3 timeframes and a preferential pSTAT1 reduction upon JAK2 inhibition. We predicted and validated the impact of JAK2 inhibition on gene expression, identifying dynamically regulated genes that were sensitive or insensitive to JAK2 variation. Thus, we successfully linked STAT signaling dynamics to gene expression to support future efforts targeting pathology-associated STAT-driven gene sets. This serves as a first step in developing multi-level prediction models to understand and perturb gene expression outputs from signaling systems.

systems biology↗

bioRxiv2020

Efficient immune cell genome engineering with improved CRISPR editing tools

CRISPR (clustered regularly interspaced short palindromic repeats)-based methods have revolutionized genome engineering and the study of gene-phenotype relationships. However, modifying cells of the innate immune system, especially macrophages, has been challenging because of cell pathology and low targeting efficiency resulting from nucleic acid activation of sensitive intracellular sensors. Likewise, lymphocytes of the adaptive immune system are largely refractory to CRISPR-enhanced homology-directed repair (HDR) due to inefficient or toxic delivery of donor templates via transient transfection methods. To overcome these challenges and limitations, we developed three improved methods for CRISPR-based genome editing using a hit-and-run transient expression strategy to minimize off-target effects and generate more precise genome editing. Overall, our enhanced CRISPR tools and strategies designed to tackle both murine and human immune cell genome engineering are expected to be widely applicable not only in hematopoietic cells but also other mammalian cell types of interest. All animal experiments were done in accordance with the guidelines of the NIAID/NIH Institutional Animal Care and Use Committee.

genomics↗

bioRxiv2019

IRAK1-mediated coincidence detection of microbial signals licenses inflammasome activation

The innate immune system signals through various higher order signaling complexes called supramolecular organizing centers (SMOCs), which typically organize components of a single pathway. While innate immune signaling pathways have been largely characterized using single receptor stimuli, responses to pathogens require the coordinated engagement of multiple pathways. Here, we report an IRAK1-containing SMOC formed specifically when multiple receptors are activated, which recruits select components of the TLR, MAPK and inflammasome pathways. This allows for signal flux redistribution from TLRs to inflammasomes and facilitates inflammasome licensing through an MKK7-JNK axis, which is defective in Irak1-/- mice. Furthermore, this defect in Irak1-/- mice manifests in increased susceptibility to inflammasome-sensitive pathogens and diminished IL1 production from inflammasomes after co-TLR priming. Thus, IRAK1 SMOCs form a multi-pathway coordinating hub for coincidence detection of microbial signals, which may be employed by innate immune cells as a threat assessment and thresholding mechanism for inflammasome activation.

immunology↗