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A foundational atlas of autism protein interactions reveals molecular convergence [CUT&Tag]

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE285273 | GEO | 2024/12/25

REPOSITORIES: GEO

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A foundational atlas of autism protein interactions reveals molecular convergence [scRNA-seq]

Project description: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.

2024-12-25 | GSE285270 | GEO

Cntnap2 KO mouse mPFC proteome for ASD

Project description:Autism Spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder where patients have impaired social behavior and communication, and restricted interests. Although various studies have been carried out to unveil the mechanisms associated with ASD, its pathophysiology is still poorly understood. Genetic variants on CNTNAP2 have been found and considered representative ASD genetic risk factors, and disruption of Cntnap2 causes ASD phenotypes in mice. Here, we performed an integrative multi-omics analysis by combining quantitative proteometabolomics data of Cntnap2 knockout (KO) mice with multi-omics data from ASD patients and forebrain organoids to elucidate Cntnap2-dependent molecular networks of ASD. First, we found Cntnap2-associated molecular signatures and cellular processes by conducting mass spectrometry-based proteometabolomic analysis of the medial prefrontal cortex of the Cntnap2 KO mouse model. Then, we narrowed these identified processes into bona fide ASD molecular processes by incorporating multi-omics data of ASD patients' prefrontal cortex. Further, we mapped cell-type-specific ASD networks by reanalyzing single-cell RNA-seq data of forebrain organoids derived from patients with CNTNAP2 mutation. Finally, we constructed a Cntnap2-associated ASD network model consisting of mitochondrial dysfunction, axonal impairment, and synaptic activity. Our results may shed light on understanding of the Cntnap2-dependent molecular networks of ASD.

2023-03-11 | PXD031656 | Pride

MP3-seq: Massively parallel measurement of protein-protein interactions by sequencing

Project description:Abstract: Protein-protein interactions (PPIs) regulate many cellular processes, and engineered PPIs have cell and gene therapy applications. Here we introduce massively parallel protein-protein interaction measurement by sequencing (MP3-seq), an easy-to-use and highly scalable yeast-two-hybrid approach for measuring PPIs. In MP3-seq, DNA barcodes are associated with specific protein pairs, and barcode enrichment can be read by sequencing to provide a direct measure of interaction strength. We show that MP3-seq is highly quantitative and scales to over 100,000 interactions. We apply MP3-seq to characterize interactions between families of rationally designed heterodimers and to investigate elements conferring specificity to coiled-coil interactions. Finally, we predict coiled heterodimer structures using AlphaFold-Multimer (AF-M) and train linear models on physics simulation energy terms to predict MP3-seq values. We find that AF-M-based models could be valuable for pre-screening interactions, but that measuring interactions experimentally remains necessary to rank their strengths quantitatively.

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Project description:Proton pump inhibitors (PPIs) are among the most frequently prescribed drugs, especially in older people. Although these drugs are usually considered safe, recent evidence suggests that high dose and/or long term use of PPIs may have several detrimental effects, including increased risk of adverse cardiovascular events. The impact of PPI in the aging host environment still need to be characterized. Aged tissues, including vascular tissues, accumulate senescent cells that can communicate with their environment by secreting a myriad of cytokines and growth factors. Human coronary artery endothelial cells (HCAECs) provide an excellent model system to study â??in vitroâ?? most aspects of cardiovascular function and disease related to cellular senescence. The purpose of this study is thus to investigate the in vitro effects of two well-known PPIs (Omeprazole and Lansoprazole) on endothelial gene expression in senescent e non-senescent HCAECs. We used a cDNA microarray method to compare gene expression profiles of young and senescent HCAECs treated with omeprazole and lansoprazole. Young cells were cultured in medium supplemented with vehicle (CTRL) or 100Î¼M PPIs (Omeprazole or Lansoprazole) and grown for subsequent passages until they evidenced senescence-associated phenotypes. Total mRNA was extracted and gene expression profiles were analyzed in senescent endothelial cells (P12) compared to the non-senescent cells (P6) in both untreated (CTRL) and PPI-treated groups by cDNA microarray. All experiments were performed in triplicate for each treatment group.

2017-04-18 | E-GEOD-77239 | biostudies-arrayexpress

Systematic identification of changes in the yeast protein interaction network in response to environmental, chemical, and genetic perturbation [transcriptome data]

Project description:To understand the principles underlying protein-protein interaction (PPI) complex changes in response to external perturbations, we created a highly multiplexed version of the murine dihydrofolate reductase protein complementation assay (mDHFR PCA) in Saccharomyces cerevisiae, allowing quantitative PPI complex profiling in vivo. We investigated the effects of 14 different conditions (including small molecules, abiotic stress factors, and nutrient composition) on a total of 1383 PPIs. More than half of PPIs (758) were found to be variable, and their Gene Ontology (GO) annotations were found to be informative of both the nature of the perturbation within each condition, as well as the overall variability of the interactions across conditions. Many perturbations triggered network changes characterized by large connected modules centered around highly connected proteins ('hubs'), suggesting that cellular control of a few proteins (e.g., by mRNA levels) can induce widespread PPI remodeling. Under a diauxic shift from glucose to ethanol as the main carbon source, we found a striking relationship between PPI changes measured by our assay and those predicted by mRNA expression under a simple law of mass action based model. We chose to investigate the relationship between interactome and transcriptome changes in the shift from glucose to ethanol as the sole carbon source. To obtain relative mRNA expression data in our pool, cells were grown in selective media supplemented with dextrose as a pre-culture and then shifted to selective media containing ethanol as the sole carbon source, with samples taken at 0, 0.5, 1, 4, and 12 hours after the transfer.

2017-04-30 | E-GEOD-72423 | biostudies-arrayexpress

Systematic identification of changes in the yeast protein interaction network in response to environmental, chemical, and genetic perturbation [transcriptome data]

2017-04-30 | GSE72423 | GEO

Systematic identification of changes in the yeast protein interaction network in response to environmental, chemical, and genetic perturbation [interactome data]

2017-04-30 | GSE72336 | GEO

Transcriptome analysis of FKBP25 siRNA-knockdown in cultured HEK 293 cells

Project description:Peptidyl-prolyl isomerases (PPIs) are a superfamily of ubiquitous enzymes that catalyze the cis-trans interconversion of Xaa-Pro peptide bonds. The functions of most PPIs remain uncharacterized. FKBP25, a mammalian PPI, localizes to the nucleus, binds nucleic acids, and associates with chromatin modifying enzymes. However, the role of this protein in transcriptional regulation remains unclear. To help address this question we present RNA-seq gene expression profiling in HEK293 cells transfected with siRNA targeting FKBP25 relative to a GFP-targeting negative control.

2018-01-03 | GSE100813 | GEO

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