Biology subjects

Huttenhain, R.

Publications and source records attributed to Huttenhain, R..

11 recordsLinked to original sources

bioRxiv2026

Human iPSC-derived neurons identify West Nile virus neuropathogenesis signatures and reveal strain-dependent neuroattenuation

West Nile virus (WNV) is one of the leading causes of arthropod-transmitted encephalitis in the world, yet its effects on neurons, the principal target of WNV in the brain, remain poorly defined. Here we establish and use Ngn2-induced human iPSC-derived glutamatergic neurons to define the neuronal response to WNV through integrated temporal proteomics and transcriptomics. Temporal multi-omic profiling revealed that infection activated innate immunity and the Unfolded Protein Response while suppressing axonogenesis and synaptic programs. WNV infection also disrupted calcium homeostasis, reduced STMN2 abundance, and promoted cytoplasmic redistribution of TDP-43. Applying this neuronal model to characterize contemporary California isolates, we identified LA24, a lineage 1 strain that replicates efficiently in non-neuronal cell lines but is selectively attenuated in neurons, with reduced viral burden in the brain and attenuated pathogenicity in mice. Together, these findings uncover neuron-specific signatures of WNV pathogenesis and demonstrate that neuronal replication phenotypes can reveal strain-dependent virulence differences not captured by conventional cell lines.

microbiology↗

bioRxiv2026

Nuclear remodeling and optimal migration emerge early, and constriction-passage progressively improves during hematopoietic stem cells to neutrophils differentiation

Neutrophils ability to rapidly and efficiently migrate through narrow pores in tissues is essential for host defense and is proposed to depend on their multilobulated and deformable nucleus. When during neutrophil differentiation does optimal migration and its proposed nuclear determinants emerge, and whether they are intrinsic to progenitors, is unclear in part because of the scarcity of tractable models of human neutrophils and their progenitors. Here, we optimized a CD34+ hematopoietic stem cell (HSC) to neutrophil differentiation pipeline to generate millions of mature neutrophils (HSC-neutrophils) that recapitulate the surface markers, proteome, ROS production and NETosis of primary human blood-derived neutrophils, better than the widely used HL60-derived neutrophils. Comparative proteomics across differentiation showed that HSC-neutrophils become translationally repressed while acquiring immune functions and actin-related processes. Quantitative microscopy and proteomics showed that nuclear multilobulation occurs at the granulocyte progenitors-early neutrophils transition and is accompanied by drastic remodeling of nuclear envelope composition (increasing LBR, decreasing lamin A/C, B1/B2 and NUPs). Single nuclear envelope proteins only weakly corelate with nuclear multilobularity suggesting that an ensemble envelope state, rather than any one protein, sets nuclear shape. Using microfabricated devices with constrictions, we show that migration speed increases the most in early neutrophils; that the capacity to cross nucleus-deforming pores is continuously enhanced during differentiation; and that early neutrophils recover the best from such migration. We show that while mature neutrophils most effectively cross pores, they remain impaired. Our work resolves three features of neutrophils migration - speed, deformation through constrictions, and recovery from deformation - and maps when each emerges, opening the door to future mechanistic and engineering studies for modulating neutrophil migration in tissue-like microenvironments.

cell biology↗

bioRxiv2026

Systematic optimization and benchmarking of synchro-PASEF for high-throughput phosphoproteome profiling

High-throughput data-independent acquisition (DIA) workflows paired with short chromatographic separations are increasingly adopted for systems biology and clinical proteomics. However, narrower peak widths from rapid separations demand faster mass spectrometer cycle times to maintain quantitative depth and reproducibility. The synchro-PASEF acquisition mode on timsTOF mass spectrometers diagonally scans across ion mobility and m/z space, enabling efficient sampling of the precursor ion cloud with shortened cycle times. While synchro-PASEF has demonstrated competitive identification depth for global protein abundance samples compared to conventional dia-PASEF, its performance for phosphoproteomics-where the precursor ion cloud is characteristically broader and bimodally distributed-has not been evaluated. Here, we systematically optimized synchro-PASEF methods for phosphoproteomics and benchmarked performance against two dia-PASEF methods across three sub-hour separations. We found that synchro-PASEF performance depends critically on balancing diagonal window number, total isolation width, and gradient length, with longer gradients favoring more windows for selectivity and shorter gradients favoring fewer windows to preserve sampling frequency. An optimized configuration quantified over 19,000 localized phosphosites using a 23-minute separation. Retention time summation (RTsum) with a factor of 2 increased phosphopeptide identifications by 5-20% and reduced phosphosite-level coefficients of variation by up to 30% across all dia-PASEF and synchro-PASEF methods tested. Using {beta}2-adrenergic receptor (B2AR) activation as a signaling model, we demonstrate that label-free DIA phosphoproteomics can be used to model phosphoproteomics dose-response relationships, showing that synchro-PASEF and dia-PASEF produce highly concordant phosphoproteomic responses, with comparable numbers of responding phosphosites, similar effect sizes, and nearly identical predicted protein kinase A (PKA) substrates downstream of the activated B2AR. While synchro-PASEF did not surpass optimized dia-PASEF in identification depth, its comparable biological performance and amenability to post-acquisition optimization through RTsum support its utility for high-throughput phosphoproteomics. This work provides a transferable framework for synchro-PASEF method optimization and demonstrates the broad utility of retention time summation for PASEF-based phosphoproteomics workflows. HighlightsO_LISystematic benchmarking of synchro-PASEF for typical phosphoproteomics workflows. C_LIO_LIRT summation improves IDs and quantitative precision for dia-PASEF and synchro-PASEF C_LIO_LIdia-PASEF and synchro-PASEF capture dose-response phosphosignaling with comparable performance C_LIO_LIProvides transferable framework for high-throughput DIA method design C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/734570v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@f83d3forg.highwire.dtl.DTLVardef@17d2e11org.highwire.dtl.DTLVardef@15b61eeorg.highwire.dtl.DTLVardef@7a667e_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2026

V-SWITCH: A single-vector OFF-to-ON fluorescent reporter of live RNA virus infections

Fluorescent reporters of viral infection are powerful tools for studying viral pathogenesis and host-pathogen interactions. Here, we present V-SWITCH, a highly modular, single-vector, cell-based OFF-to-ON fluorescent reporter that enables robust detection of viral infection in living cells. V-SWITCH is based on a split mNeonGreen (mNG) system employing a release-and-capture mechanism. In the "OFF" state, the mNG3A(1-10) fragment is anchored to the endoplasmic reticulum via a Sec61 transmembrane domain, while the mNG(11) fragment, fused to BFP, is constitutively expressed in the nucleus. Upon infection, the viral protease cleaves a protease cleavage site (PCS) adjacent to the mNG3A(1-10) fragment, liberating it for translocation into the nucleus. There, it complements mNG(11) to reconstitute fluorescence. The constitutive BFP serves as both an expression control and a nuclear segmentation marker for image analysis. Each module in this dual-cassette design is flanked by unique restriction sites allowing rapid swapping of virus-specific PCS, split fluorophores, membrane anchors, and promoters. We demonstrate the versatility of the V-SWITCH reporter for several viruses (Dengue virus, Zika virus, West Nile virus and Human Coronavirus OC43) in several cell lines (A549, BJ-5 fibroblasts, HEK293T and HeLa). Reporter activation enables clear discrimination of infected and uninfected cells by flow cytometry and reveals time-dependent and heterogeneous infection dynamics by live-cell imaging at single-cell resolution. Importantly, we demonstrate the potential of V-SWITCH to support both rapid functional screening for host factor dependencies, as well as high-throughput compound screening to enable antiviral discovery and comparative evaluation of therapeutic strategies across multiple viruses and cell types.

microbiology↗

bioRxiv2024

A Structural Mechanism for Noncanonical GPCRSignal Transduction in the Hedgehog Pathway

SUMMARY PARAGRAPHThe Hedgehog (Hh) signaling pathway is fundamental to embryogenesis, tissue homeostasis, and cancer. Hh signals are transduced via an unusual mechanism: upon agonist-induced phosphorylation, the noncanonical G protein-coupled receptor SMOOTHENED (SMO) binds the catalytic subunit of protein kinase A (PKA-C) and physically blocks its enzymatic activity. By combining computational structural approaches with biochemical and functional studies, we show that SMO mimics strategies prevalent in canonical GPCR and PKA signaling complexes, despite little sequence or secondary structural homology. An intrinsically disordered region of SMO binds the PKA-C active site, resembling the PKA regulatory subunit (PKA-R) / PKA-C holoenzyme, while the SMO transmembrane domain binds a conserved PKA-C interaction hub, similar to other GPCR-effector complexes. In contrast with prevailing GPCR signal transduction models, phosphorylation of SMO promotes intramolecular electrostatic interactions that stabilize key structural elements within the SMO cytoplasmic domain, thereby remodeling it into a PKA-inhibiting conformation. Our work provides a structural mechanism for a central step in the Hh cascade and defines a paradigm for disordered GPCR domains to transmit signals intracellularly.

biochemistry↗

bioRxiv2023

A foundational atlas of autism protein interactions reveals molecular convergence

Translating high-confidence (hc) autism spectrum disorder (ASD) genes into viable treatment targets remains elusive. We constructed a foundational protein-protein interaction (PPI) network in HEK293T cells involving 100 hcASD risk genes, revealing over 1,800 PPIs (87% novel). Interactors, expressed in the human brain and enriched for ASD but not schizophrenia genetic risk, converged on protein complexes involved in neurogenesis, tubulin biology, transcriptional regulation, and chromatin modification. A PPI map of 54 patient-derived missense variants identified differential physical interactions, and we leveraged AlphaFold-Multimer predictions to prioritize direct PPIs and specific variants for interrogation in Xenopus tropicalis and human forebrain organoids. A mutation in the transcription factor FOXP1 led to reconfiguration of DNA binding sites and altered development of deep cortical layer neurons in forebrain organoids. This work offers new insights into molecular mechanisms underlying ASD and describes a powerful platform to develop and test therapeutic strategies for many genetically-defined conditions.

systems biology↗

bioRxiv2023

An automated proximity proteomics pipeline for subcellular proteome and protein interaction mapping

Proximity labeling (PL) through biotinylation coupled with mass spectrometry (MS) has emerged as a powerful technique for capturing spatial proteomes within living cells. Large-scale sample processing for proximity proteomics requires a workflow that minimizes hands-on time while enhancing quantitative reproducibility. Here, we present a scalable PL pipeline integrating automated enrichment of biotinylated proteins in a 96-well plate format. By combining this pipeline with an optimized quantitative MS acquisition method based on data-independent acquisition (DIA), we not only significantly increased sample throughput but also improved the reproducibility of protein identification and quantification. We applied this pipeline to delineate subcellular proteomes across various cellular compartments, including endosomes, late endosomes/lysosomes, the Golgi apparatus, and the plasma membrane. Moreover, employing 5HT2A serotonin receptor as a model, we investigated temporal changes of proximal interaction networks induced by the receptors activation with serotonin. Finally, to demonstrate the applicability of our PL pipeline across multiple experimental conditions, we further modified the PL pipeline for reduced sample input amounts to accommodate CRISPR-based gene knockout, and assessed the dynamics of the 5HT2A network in response to the perturbation of selected proximal interactors. Importantly, the presented PL approach is universally applicable to PL proteomics using biotinylation-based PL enzymes, increasing both throughput and reproducibility of standard protocols.

systems biology↗

bioRxiv2022

Profiling the diversity of agonist-selective effects on the proximal proteome environment of G protein-coupled receptors

The mu opioid receptor (OR), a prototypic member of the large G protein-coupled receptor (GPCR) family, represents an important target of therapeutic and abused drugs. To date, most of our understanding of OR activity has focused on signal transducers and regulatory molecules including G proteins, GPCR kinases, and beta-arrestins. Yet it is clear that signaling through the OR is coordinated by additional proteins recruited into the proximal interaction network of the activated receptor, which have largely remained invisible given the lack of technologies to interrogate these networks systematically. Here, we implement a quantitative proteomics pipeline leveraging the chemical diversity of OR agonists and APEX-based proximity labeling to investigate the protein networks that underlie OR signaling. We leverage a novel computational framework to extract subcellular location, trafficking, and functional partners of GPCR activity from the proximity labeling datasets. Applying this unbiased, systematic approach to the OR, we demonstrate that opioid agonists exert differences in the OR proximal proteome mediated by endocytosis and subsequent endosomal sorting, exemplified by VPS35 and COMMD3. Moreover, we identify two novel OR network components, EYA4 and KCTD12, that are recruited into the receptor proximal network irrespective of the activating ligand and independent of receptor trafficking but based on receptor-triggered G protein activation. We provide functional evidence that these network components form a previously unrecognized buffering system for G protein activity which broadly modulates cellular GPCR signaling.

systems biology↗

bioRxiv2021

Tau interactome mapping reveals dynamic processes in synapses and mitochondria associated with neurodegenerative disease

Tau (MAPT) drives neuronal dysfunction in Alzheimers disease (AD) and other tauopathies. To dissect the underlying mechanisms, we combined an engineered ascorbic acid peroxidase (APEX) approach with quantitative affinity purification mass spectrometry (AP-MS) followed by proximity ligation assay (PLA) to characterize Tau interactomes modified by neuronal activity and mutations that cause frontotemporal dementia (FTD) in human induced pluripotent stem cell (iPSC)-derived neurons. We established activity-dependent interactions of Tau with presynaptic vesicle proteins during Tau secretion and mapped the exact APEX-tau-induced biotinylated tyrosines to the cytosolic domains of the interacting vesicular proteins. We showed that FTD mutations impair bioenergetics and markedly diminished Taus interaction with mitochondria proteins, which were downregulated in AD brains of multiple cohorts and correlated with disease severity. These multi-modal and dynamic Tau interactomes with unprecedented spatiotemporal resolution shed novel insights into Taus role in neuronal function and disease-related processes with potential therapeutic targets to block Tau-mediated pathogenesis.

neuroscience↗

bioRxiv2021

Integration of Protein Interactome Networks with Congenital Heart Disease Variants Reveals Candidate Disease Genes

Congenital heart disease (CHD) is present in 1% of live births, yet identification of causal mutations remains a challenge despite large-scale genomic sequencing efforts. We hypothesized that genetic determinants for CHDs may lie in protein interactomes of GATA4 and TBX5, two transcription factors that cause CHDs. Defining their interactomes in human cardiac progenitors via affinity purification-mass spectrometry and integrating results with genetic data from the Pediatric Cardiac Genomic Consortium revealed an enrichment of de novo variants among proteins that interact with GATA4 or TBX5. A consolidative score that prioritized interactome members based on variant, gene, and proband features identified likely CHD-causing genes, including the epigenetic reader GLYR1. GLYR1 and GATA4 widely co-occupied cardiac developmental genes, resulting in co-activation, and the GLYR1 missense variant associated with CHD disrupted interaction with GATA4. This integrative proteomic and genetic approach provides a framework for prioritizing and interrogating the contribution of genetic variants in disease.

genetics↗

bioRxiv2020

A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.

systems biology↗