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Jovanovic, M.

Publications and source records attributed to Jovanovic, M..

At least 19 recordsLinked to original sources

In situ identification of substrates of the protein tyrosine phosphatase PTP1B using site-specific photo-crosslinking

Protein tyrosine phosphorylation is critical for cellular function, and aberrant phosphorylation is tied to a wide range of human diseases. Identifying the substrates of protein tyrosine phosphatases, the enzymes that erase this modification, is critical to understanding human biology and disease states. The state-of-the-art method for tyrosine phosphatase substrate identification requires the use of mutations that modestly increase the lifetime of enzyme-substrate complexes by kill catalytic activity. While these "substrate-trapping" mutants are useful tools, they work best for high-affinity or abundant substrates that remain phosphatase-bound through cell lysis and enrichment. Here, we use site-specific photo-crosslinking to covalently capture the substrates of tyrosine phosphatases in situ. We identify eight different positions around the active site of the phosphatase PTP1B where photo-crosslinker amino acids can be incorporated via amber codon suppression without dramatically disrupting catalytic activity. We then conduct photo-crosslinking experiments in mammalian cells and identify crosslinked proteins by mass spectrometry proteomics, revealing that our approach can capture known PTP1B interactors and substrates. We then show that PTP1B photo-crosslinking in situ is sensitive to enzyme localization and identify new PTP1B substrates that regulate contacts between the endoplasmic reticulum and plasma membrane. We also demonstrate that photo-crosslinking can capture signal-dependent interactions. For example, we observe PTP1B crosslinking to the epidermal growth factor (EGF) receptor, a known substrate, in an EGF-dependent manner, and we identify other potential EGF-dependent substrates. Overall, our approach reveals previously unknown roles of PTP1B in signaling systems and could be readily extended to other tyrosine phosphatases in the same family.

biochemistry↗

VCBench: A Multi-Dimensional Benchmark for Single-Cell Foundation Models

Single-cell foundation models are increasingly positioned as virtual cells, yet their capabilities are assessed by fragmented, largely single-task benchmarks that obscure where these models improve on simple baselines. VCBench addresses this by synthesizing four independent virtual-cell frameworks into seven capability dimensions: perturbation response prediction, cross-species universality, gene regulatory network (GRN) inference, modality integration, temporal dynamics, multi-scale integration, and in silico experimentation. Each dimension is assessed for operational testability under current architectures and datasets: five admit direct or proxy evaluation, while multi-scale integration and in silico experimentation are structurally untestable as end-to-end tasks. We evaluate five foundation models (Geneformer, scGPT, UCE, TranscriptFormer, Arc State) against pre-registered linear and nearest-neighbor baselines across the five testable dimensions, and report three findings. First, the baselines match or exceed every foundation model on four of the five scored dimensions, replicating the reported competitiveness of linear baselines on perturbation prediction and extending it to cross-species transfer, GRN inference, and temporal ordering. Second, TranscriptFormer alone exceeds the strongest baseline on cross-modal RNA-to-protein prediction (53% Pearson improvement, with a documented contamination caveat) and is the only model to reach Level 2 in the pre-registered Virtual Cell (VC) Level rubric; the architectural choice behind this advantage simultaneously causes a spectral collapse that destroys its temporal-ordering performance, a tradeoff invisible to single-task benchmarks. Third, no foundation model publishes a complete cell-level training manifest, leaving data contamination undetectable to users. Alongside the benchmark, VCBench releases a Contamination Reporting Schema and contributes two further methodological tools: a common-label-set protocol that controls for class-count confounds in cross-species transfer, and a spread-error correlation probe for epistemic calibration.

bioinformatics↗

The UPR drives gametogenesis via an unexpected response, coordinating translation and ER structure

Stress responses, including the unfolded protein response (UPR), are commonly studied via induction with harsh exogenous stressors, leaving endogenous functions of these pathways less well understood. We found that the endogenous UPR that precedes meiosis in budding yeast is required for gamete production but diverges dramatically from previously defined UPR outputs, with only a few characterized UPR targets induced, and mildly. The role of this UPR can be replaced by increasing ER chaperones, reducing bulk translation, or impairing the machinery for protein translocation into the ER. ER integrity appears compromised in pre-meiotic cells lacking the UPR, as foci of reticulon proteins are seen and correlate strongly with an inability of cells to enter meiosis. These findings indicate that physiological UPR activation supports proteostasis and normal ER structure, preparing cells for meiotic entry by reducing the load of proteins that enter the ER. Overall, our study reveals surprising features of a physiological UPR induction that enables a cell fate decision.

cell biology↗

Prefoldin function links meiotic chromosome segregation with cellular remodeling and reveals tubulin sensitivity of the meiotic spindle

Faithful chromosome segregation is essential for producing viable gametes during meiosis, a specialized type of cell division compared to mitosis. Unlike mitosis, meiosis involves two consecutive chromosome segregation events without an intervening round of DNA replication. Here we identify Gim3, a subunit of the ubiquitously expressed and conserved prefoldin complex, as a critical regulator of meiotic but not mitotic chromosome segregation in budding yeast. Loss of Gim3 causes profound defects in chromosome segregation and gamete viability through reduced tubulin protein levels, which are also associated with reduced spindle length. In mitosis, however, GIM3 deletion minimally affects spindle length and chromosome segregation, despite similarly reduced tubulin levels in both contexts, highlighting a previously unrecognized difference between the sensitivity of meiotic and mitotic spindles to tubulin abundance. In addition to chromosome segregation defects, gim3{Delta} cells exhibit aberrant meiotic cellular remodeling, including defects in exclusion of age-associated protein aggregates from newly forming gametes. Importantly, experimentally induced meiotic chromosome mis-segregation similarly disturbs cellular remodeling. Together, our findings identify Gim3 as a key factor required for maintaining chromosome segregation integrity during meiosis and reveal a previously unrecognized link between chromosome segregation and meiotic cellular remodeling.

cell biology↗

CardioSafe: Multi-task prediction of cardiac ion channel activity with reverse-leak audited benchmarking

Drug-induced inhibition of the hERG potassium channel is the leading cause of cardiac safety-related drug attrition, but the Comprehensive in Vitro Proarrhythmia Assay (CiPA) framework requires activity data on multiple cardiac ion channels to assess proarrhythmic risk. We present CardioSafe, a three-branch multi-task neural network with cross-attention fusion that integrates chemical fingerprints, ChemBERTa embeddings, and predicted L1000 transcriptomic features to predict blocker status and potency for hERG, Nav1.5, and Cav1.2, with an exploratory IKs head. CardioSafe was trained on the largest publicly reported multi-channel cardiac ion channel dataset, combining ChEMBL 36 with the hERGCentral database (331127 hERG, 3160 Nav1.5, 1138 Cav1.2, and 115 IKs compounds), curated under a pharmacology-aware policy that retains censored measurements and inhibition-percentage votes. Under Tanimoto-similarity-controlled splits, CardioSafe outperforms the leading published comparators (CToxPred2 and CardioGenAI) on the data-rich hERG head; on the smaller Nav1.5 and Cav1.2 heads the standard evaluation is statistically inconclusive. A reverse-leak audit revealed that 22% of Nav1.5 and 21% of Cav1.2 test compounds were present in published comparators training data (92% as exact compound matches); after removing these contaminated compounds, CardioSafes lead on Nav1.5 and Cav1.2 also reaches statistical significance, demonstrating that prior cross-publication benchmarks for these channels were inflated by training-data overlap. Scientific contributionWe present the first multi-task neural network jointly predicting blocker activity for the three primary CiPA cardiac ion channels (hERG, Nav1.5, Cav1.2) within a single architecture. We introduce a reverse-leak audit methodology that reveals systematic test-set contamination in cross-publication cardiac safety benchmarks, establishing a stricter evaluation protocol. We provide the empirical test of predicted L1000 transcriptomic features as auxiliary input for cardiac ion channel prediction and document a well-characterized negative result. Graphical abstractCardioSafe encodes each query SMILES with three branches (chemical fingerprints + descriptors, pretrained ChemBERTa, and predicted L1000 transcriptomic signatures), fuses them via a cross-attention block with four learnable per-channel query tokens, and emits binary blocker calls plus pChEMBL regression for hERG, Nav1.5, Cav1.2, and (exploratory) IKs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=59 SRC="FIGDIR/small/723181v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@1c0ba2aorg.highwire.dtl.DTLVardef@1fe3a0borg.highwire.dtl.DTLVardef@194de8aorg.highwire.dtl.DTLVardef@9e4f74_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Coordinated synthesis of double-stranded DNA by a dual reverse transcriptase immune system

Defense-associated reverse transcriptase (DRT) systems mediate antiviral immunity through distinct modes of cDNA synthesis: Class 1 DRTs catalyze untemplated synthesis, whereas Class 2 DRTs polymerize noncoding RNA-templated products. However, how these distinct modes drive defense remains unclear. Here, we report that DRT3 immunity arises when Class 1 and Class 2 RT activities cooperate to produce self-complementary double-stranded DNA (dsDNA). DRT3a uses a 5'-ACACAC-3' RNA template to synthesize poly-(dTdG) repeats, whereas DRT3b synthesizes poly-(dCdA) repeats without any nucleic acid template. Cryo-electron microscopy reveals that DRT3b forms a hexamer and uses active-site-adjacent residues as deoxyadenosine and deoxycytidine gates to enforce alternating nucleotide addition, representing a unique example of amino acid-templated DNA polymerization. DRT3 is toxic in cells lacking RecBCD, implicating host recombination machinery in limiting dsDNA accumulation, and the phage-encoded RecBCD inhibitor Gam triggers DRT3-mediated abortive infection. These findings reveal how two polymerases with distinct templating strategies generate complementary DNA for defense.

microbiology↗

An integrated RNA-centric imaging and omics approach reveals distinct properties and composition of neuronal RNA granules

RNA granules are essential regulators of post-transcriptional gene expression, enabling mRNA transport, localization, and local translation in neurons. The localized transcriptome is diverse; however, how different mRNAs are organized into granules for efficient localization and translation remains unknown. Here, we combine real-time endogenous single RNA imaging with protein and RNA proximity labeling to investigate two distinct endogenous neuronal mRNA granule populations, Actb and Arc, in stimulated primary hippocampal neurons. Using orthogonal RNA labeling systems in a dual knock-in mouse model, we show that Actb and Arc mRNAs are packaged into spatially segregated granules with distinct trafficking dynamics, localization kinetics, and responses to synaptic stimulation. Actb granules displayed rapid and sustained localization, whereas Arc granules showed delayed, transient recruitment, consistent with their respective roles in structural and activity-dependent plasticity. Proximity labeling reveals that these granules are distinct in their mRNA composition, despite sharing core RNA-binding proteins, suggesting that shared cis-regulatory elements within mRNA 3UTR regions drive selective co-packaging of mRNAs into unique granules. Together, these findings demonstrate that neuronal mRNAs are differentially sorted into molecularly and functionally distinct granules, providing a framework for understanding how precise spatio-temporal control of mRNA localization and translation is achieved across complex neuronal arbors.

neuroscience↗

eIF4G2-dependent translation restrains pancreatic cancer progression

Pancreatic ductal adenocarcinoma (PDA) is among the most lethal cancers, driven by cellular plasticity that fuels therapeutic resistance and early dissemination. The contribution of translational control to this plasticity remains poorly understood. Through an in vivo CRISPR/Cas9 screen, we identify the non-canonical initiation factor eIF4G2 (DAP5/NAT1) as a translational checkpoint restraining PDA progression. Loss of eIF4G2 accelerated tumor growth, induced poorly differentiated, basal-like histology, and triggered widespread metastasis. Ribosome profiling revealed that eIF4G2 loss does not alter bulk protein synthesis but instead impairs translation of a selective regulon, including tumor suppressors such as PTEN and CREBBP. Functional studies confirmed that PTEN loss was sufficient to drive dedifferentiation but insufficient to promote metastasis, implicating the broader eIF4G2-dependent program, including translational control of transcriptional regulators like CREBBP, in limiting dissemination. Consistently, eIF4G2-deficient tumors exhibited transcriptomic enrichment of programs related to migration and wound healing. Computational inference from human PDA datasets revealed reduced eIF4G2 activity in metastases, aligning with basal-like features and predicting poorer survival. These results support a model in which eIF4G2 maintains epithelial identity and restrains metastatic potential, highlighting selective translation as a determinant of PDA subtype and clinical outcome.

cancer biology↗

Stemness factor Mex3a times translation and protein trafficking to ensure robust differentiation of olfactory sensory neurons

During the switch from progenitor to differentiated cell, cellular physiology must change to accommodate increased translation and trafficking of membrane-bound proteins. We identify RNA-binding and E3 ubiquitin ligase Mex3a as a key driver of proper neuronal differentiation by regulating mRNA translation and trafficking of cell surface proteins in the context of Unfolded Protein Response (UPR) signaling. Loss of Mex3a in immature olfactory sensory neurons (OSNs) leads to defects in cilia structure, cell surface protein expression, and planar cell polarity in mature OSNs. Proteomics reveal a Mex3a-dependent decrease in proteins related to vesicle transport, lipid metabolism, and ribosome biogenesis. We identify RNA and ubiquitin targets of Mex3a and provide evidence that Mex3a may confer K27 ubiquitin linkage on substrates. Finally, modulating cellular levels of Mex3a changes the recruitment of translation factors Serbp1 and p-eEF2 to ribosomes with possible effects on translation. Our data reveal how a stemness factor regulates development post-transcriptionally and post-translationally to ensure robust differentiation. HighlightsLoss of stemness factor Mex3a in immature olfactory neurons leads to defects in mature olfactory neurons. Translation/Trafficking of cell surface proteins, cilia structure, and planar cell polarity are compromised in the absence of Mex3a. Mex3a may confer K27 ubiquitination on stress granule protein Serbp1 and ribosome protein Rps7. Mex3a levels are associated with Serbp1 and p-eEF2 recruitment to ribosomes.

genetics↗

A neuron type-specific microexon in Ank3/ankyrin-G modulates calcium activity and neuronal excitability

Recent studies have revealed many alternative exons differentially spliced across diverse neuron types in the mammalian brain, but their links to neuronal physiology remain unclear. Here we characterize a deeply conserved microexon E35a in Ank3 encoding ankyrin-G (AnkG), a multifaceted adaptor protein best known as a master organizer of the axon initial segment (AIS) and as a leading genetic risk factor for bipolar disorder. E35a is predominantly skipped in cortical glutamatergic neurons but included in cortical GABAergic neurons and cerebellar neurons, which is dictated by multiple neuronal splicing factors. In E35a-deletion mice we generated, interneurons show increased excitability and somatic Ca2+ activity, without disruption in AIS. Biochemical analyses suggest that E35a inclusion facilitates AnkG interaction with a protein complex involving inositol trisphosphate receptors (InsP3Rs) important for intracellular Ca2+ signaling. Alternative splicing therefore allows AnkG to modulate neuron type-specific excitability in addition to its ubiquitous pan-neuronal role in organizing the AIS.

neuroscience↗

Proteasome activator Blm10 maintains cellular proteostatic balance and gamete quality in budding yeast

The proteasome is responsible for regulated protein degradation in eukaryotic cells. Its best characterized substrates are ubiquitinated proteins that are targeted to the 26S proteasome complex, consisting of a 19S regulatory particle (RP) capping the barrel-shaped 20S core peptidase (CP). The CP can interact with other caps, including Blm10/PA200, a nearly 250 kDa protein whose biological function is not well understood. Blm10 is upregulated during gametogenesis in budding yeast, suggestive of a natural stage-specific modulation of proteasome composition. Here, we investigate the function of Blm10 during yeast gametogenesis, identifying it as a weak activator of the proteasome that can displace the 19S RP from the CP. Due to this competition for the CP, overexpression of Blm10 can lead to attenuation of ubiquitin-dependent degradation and proteostatic defects. Cells lacking Blm10 also display markers of proteostatic stress, including Hsp104 foci and heat sensitivity, suggesting that Blm10 safeguards normal proteostatic balance. We find that Blm10 is important for producing fit gametes and ensuring full rejuvenation of aged cells following gametogenesis. Furthermore, we observe direct association of aggregate-prone proteins and protein-folding factors with immunoprecipitated Blm10-proteasomes. Finally, we discovered that 14-3-3 proteins Bmh1/2 are novel cofactors of Blm-10 bound proteasomes and describe how Blm10 controls CP gate configuration. Overall, our data suggest a role for Blm10-proteasomes in maintaining gamete proteostasis through fine-tuning of proteasome activity and prevention of protein aggregation.

molecular biology↗

SPRINT-MS: A high-throughput platform for identifying protein-protein interactions using pooled IP-MS and sparse signal recovery.

We present SPRINT-MS (SParse Reconstruction of INTeractions by Mass Spectrometry), an integrated experimental and computational platform to accelerate the discovery of protein-protein interactions (PPIs). PPIs, which govern critical cellular and physiological processes such as development and disease, form extensive networks that vary across time, conditions, and cell types, creating a complex, high-dimensionality problem. Thus, there is a pressing need for universally applicable tools capable of mapping and quantifying PPI networks and their context-dependent dynamics with high efficiency. SPRINT-MS combines an innovative antibody (or lysate) pooling scheme, immunopurification-mass spectrometry (IP-MS), and a novel sparse signal reconstruction algorithm to enable pooled PPI capture experiments. This approach increases throughput by an order of magnitude, while reducing sample input requirements. We demonstrate that SPRINT-MS, applied to 30 bait proteins of interest via either antibody or lysate pooling, is comparable to standard individual IP-MS experiments in the identification of PPIs and recapitulation of known interactions.

molecular biology↗

Antiviral reverse transcriptases reveal the evolutionary origin of telomerase

Defense-associated reverse transcriptases (DRTs) employ diverse and distinctive mechanisms of cDNA synthesis to protect bacteria against viral infection. However, much of DRT family diversity remains unstudied. Here we identify a new antiviral defense system, DRT10, that associates with a non-coding RNA (ncRNA) to catalyze processive, protein-primed synthesis of tandem-repeat DNA. Repeat addition is dictated by sequence and structural features of the ncRNA that have direct parallels in the RNA component of telomerase. Remarkably, a phylogenetic analysis of RTs across domains of life reveals an unexpected link between DRT10 and telomerase that is further supported by structural comparisons and mechanistic evidence. These findings expand the repertoire of reverse transcription mechanisms in antiviral defense and point to a bacterial origin for telomerase. One-Sentence SummaryInsights from antiviral defense systems reveal an unexpected bacterial origin for the mechanism of chromosome maintenance by eukaryotic telomerase.

molecular biology↗

HP1B and H3K9me3 Regulate Olfactory Receptor Choice and Transcriptional Identity

Diverse epigenetic regulatory mechanisms ensure and regulate cellular diversity. Among others, the histone 3 lysine 9 me3 (H3K9me3) post translational modification participates in silencing lineage-inappropriate genes. H3K9me3 restricts access of transcription factors and other regulatory proteins to cell-fate controlled genes. In mice, olfactory sensory neurons (OSN) express one olfactory receptor (OR) gene out of 2,600 possibilities. This monoallelic and stochastic OR choice happens as OSNs differentiate and undergo dramatic changes in nuclear architecture. OR genes from different chromosomes converge into specialized nuclear bodies and chromatin compartments as H3K9me3 and chromatin binding proteins including heterochromatin protein 1 (HP1) are incorporated. In this work, we have uncovered an unexpected role for HP1{beta} in OR choice and neuronal identity that cannot be rescued by HP1 in vivo. With the use of a conditional knock-in mouse model that replaces HP1{beta} for HP1, we observe changes in H3K9me3 levels, DNA accessibility, and Hi-C contacts over OR gene clusters. These changes alter the expression patterns that partition the mouse olfactory epithelium into five OR expression zones, which results in a reduced OR repertoire leading to a loss of olfactory sensory neuron diversity. We propose that HP1{beta} modulates the competition of OR-promoters for enhancers to promote receptor diversity, by establishing repression gradients in a zonal fashion.

molecular biology↗

The alternative initiation factor eIF2A regulates 40S subunit turnover in ribosome-associated quality control

The noncanonical translation initiation factor eIF2A plays critical roles in diverse cellular processes, including the integrated stress response, neurodegeneration and tumorigenesis. However, the precise molecular mechanism underlying eIF2As function remains poorly understood. Here, we exploit a TurboID-based proximity labeling combined with mass spectrometry to systematically map the interactome of eIF2A during homeostasis and stress. Combining polysome gradients with TurboID, we zoom into the interactions of eIF2A with the 40S small ribosomal subunit and map the eIF2A binding site close to the mRNA entry channel. We identify a network of interactors that link eIF2A to ribosome-associated quality control, including its strong interaction with G3BP1-USP10 complexes as well as RPS2 and RPS3. In the absence of eIF2A, RPS2 and RPS3 ubiquitination is diminished specifically upon ribosome stalling. 40S-specific footprinting in eIF2A knockout cells shows minimal changes in 5UTR occupancy, consistent with a limited role for eIF2A in translation initiation. Using dynamic SILAC mass spectrometry, we characterize the novel function of eIF2A in ribosome-associated quality control and show that eIF2A antagonizes USP10-dependent rescue of 40S ribosomes, resulting in altered turnover of 40S subunits upon cellular stress. Collectively, our study identifies a previously unknown link between eIF2A and ribosome-associated quality control, implies that eIF2A promotes translation fidelity by tuning 40S ribosome rescue under stress and warrants further investigations into the role of ribosome-associated quality control in tumorigenesis.

molecular biology↗

Multiple human enhancer RNAs contain long translated open reading frames

Enhancer RNAs (eRNAs) are transcribed by RNA polymerase II during enhancer activation but are typically rapidly degraded in the nucleus. During states of reduced RNA surveillance, however, eRNAs and other similar "noncoding" RNAs, including for example upstream antisense RNAs, are stabilized, and some are exported to the cytoplasm and can even be found on polysomes. Here, we report unexpectedly that [~]12% of human intergenic eRNAs contain long open reading frames (>300 nts), many of which can be actively translated, as determined by ribosome profiling, and produce proteins that accumulate in cells, as shown by mass spectrometry (MS) data. Focusing on the largest of the encoded proteins, which we designate as eORFs, and which can be up to [~]45 KDa, we found remarkably that most are highly basic, with pIs >11.5. This unusual chemistry reflects a striking overabundance of arginine residues, and occurs despite a relative paucity of lysines. Exogenous expression of the ten largest eORFs revealed that they accumulate stably in cells as full-length proteins, and most localize to the nucleus and associate with chromatin. Identification of interacting proteins by MS suggested possible roles for these proteins in several nuclear processes. The eORFs studied are well-conserved among primates, although they are largely absent from other mammals. Notably, several contain human-specific C-terminal extensions and display properties suggestive of de novo gene birth. In summary, we have discovered that a fraction of human eRNAs can function as mRNAs, revealing a new and unexpected role for these transcripts.

molecular biology↗

Protein-primed DNA homopolymer synthesis by an antiviral reverse transcriptase

Bacteria defend themselves from viral predation using diverse immune systems, many of which sense and target foreign DNA for degradation1. Defense-associated reverse transcriptase (DRT) systems provide an intriguing counterpoint to this strategy by leveraging DNA synthesis instead2,3. We and others recently showed that DRT2 systems use an RNA template to assemble a de novo gene, leading to expression of an antiviral effector protein, Neo4,5. It remains unknown whether similar mechanisms of defense are employed by other DRT families. Focusing on DRT9, here we uncover an unprecedented mechanism of DNA homopolymer synthesis, in which viral infection triggers polydeoxyadenylate (poly-dA) accumulation in the cell to drive abortive infection and population-level immunity. Cryo-EM structures reveal how a conserved noncoding RNA serves as both a structural scaffold and reverse transcription template to direct hexameric complex assembly and RNA-templated poly-dA synthesis. Remarkably, biochemical and functional experiments identify conserved tyrosine residues within the reverse transcriptase itself that prime DNA synthesis, leading to the formation of high-molecular weight protein-DNA covalent adducts. Synthesis of poly-dA in vivo is regulated by the competing activities of phage-encoded triggers and host-encoded silencers of DRT9. Collectively, our work unveils a novel nucleic acid-driven defense system that expands the paradigm of bacterial immunity and broadens the known functions of reverse transcriptases.

molecular biology↗

Proximity-labeling proteomics reveals remodeled interactomes and altered localization of pathogenic SHP2 variants

Missense mutations in PTPN11, which encodes the protein tyrosine phosphatase SHP2, are common in several developmental disorders and cancers. While many mutations disrupt auto-inhibition and hyperactivate SHP2, several do not enhance catalytic activity. Both activating and non-activating mutations could potentially drive pathogenic signaling by altering SHP2 interactions or localization. We employed proximity-labeling proteomics to map the interaction networks of wild-type SHP2, ten clinically-relevant mutants, and SHP2 bound to an inhibitor that stabilizes its auto-inhibited state. Our analyses revealed mutation- and inhibitor-dependent alterations in the SHP2 interactome, with several mutations also changing localization. Some mutants had increased mitochondrial localization and impacted mitochondrial function. This study provides a resource for exploring SHP2 signaling and offers new insights into the molecular basis of SHP2-driven diseases. Furthermore, this work highlights the capacity for proximity-labeling proteomics to detect missense-mutation-dependent changes in protein interactions and localization.

molecular biology↗