Biology subjects

Yang, F.

Publications and source records attributed to Yang, F..

At least 271 records · Page 15Linked to original sources

bioRxiv2020

Lamin B2 follows lamin A/C- mediated nuclear mechanics and cancer cell invasion efficacy

Interstitial tumor cell invasion depends upon complex mechanochemical adaptation of both cell body and the rigid nucleus in response to extracellular tissue topologies. Nuclear mechanics during cell migration through confined environments is controlled by A-type lamins, however, the contribution of B-type lamins to the deformability of the nucleus remains unclear. Using systematic expression regulation of different lamin isoforms, we applied multi-parameter wet-lab and in silico analysis to test their impact on nuclear mechanics, shape regulation, and cancer cell migration. Modulation of lamin A/C and B2 but not B1 isoforms controlled nuclear deformation and viscoelasticity, whereby lamin B2 generally followed lamin A/C-mediated effects. Cell migration rates were altered by 5 to 9-fold in dense collagen environments and synthetic devices, with accelerated rates after lamin downregulation and reverse effects after lamin upregulation, with migration rates strongly depending on nuclear shape change. These findings implicate cooperation of lamin B2 with lamin A/C in regulating nuclear mechanics for shape adaptation and migration efficacy. SummaryNuclear deformability during cancer cell invasion and metastasis is critically regulated by lamin A. Here, researchers showed that lamin B2 also contributes to nuclear mechanics, implicating cooperating lamin networks regulating nuclear integrity, migration efficacy, and metastatic tumor progression.

cell biology↗

bioRxiv2020

In-cell destabilization of a homo-dimeric protein complex detected by DEER spectroscopy

The complexity of the cellular medium can affect proteins properties and therefore in-cell characterization of proteins is essential. We explored the stability and conformation of BIR1, the first baculoviral IAP repeat domain of X-chromosome-linked inhibitor of apoptosis (XIAP), as a model for a homo-dimer protein in human HeLa cells. We employed double electron-electron resonance (DEER) spectroscopy and labeling with redox stable and rigid Gd3+ spin labels at three protein residues, C12 (flexible region), E22C and N28C (part of helical residues 26-31) in the N-terminal region. In contrast to predictions by excluded volume crowding theory, the dimer-monomer dissociation constant KD was markedly higher in cells than in solution and dilute cell lysate. As expected, this increase was recapitulated under conditions of high salt concentrations given that a conserved salt bridge at the dimer interface is critically required for association. Unexpectedly, however, also the addition of a crowding agent such as Ficoll destabilized the dimer, suggesting that Ficoll forms specific interactions with the monomeric protein. Changes in DEER distance distributions were observed for the E22C site, which displayed reduced conformational freedom in cells. Although overall DEER behaviors at E22C and N28C were compatible with a predicted compaction of disordered protein regions by excluded volume effects, we were unable to reproduce E22C properties in artificially crowded solutions. These results highlight the importance of in-cell DEER measurements to appreciate the complexities of cellular in vivo effects on protein structures and functions.

biophysics↗

bioRxiv2020

In Vivo Efficacy and PK/PD Modeling of KBP-7072, An Aminomethylcycline Antibiotic, in Neutropenic Pneumonia and Thigh Infection Models

KBP-7072 is a novel aminomethylcycline with broad-spectrum activity against Gram-positive and Gram-negative multidrug resistant bacterial isolates and strains. Antibacterial activity and the PK/PD relationship were assessed using in vivo infection models. Six to 8-week-old female CD-1 mice were randomized to oral KBP-7072, minocycline and vehicle in a Klebsiella pneumoniae murine model, and KBP-7072, linezolid and vehicle for a Streptococcus pneumoniae murine model. Each animal was inoculated with K. pneumoniae or S. pneumoniae placed on the tip of the nares. KBP-7072 and antibiotics were started 3 hours post inoculation and continued for 3 days for K. pneumoniae, and were started 18 hours post inoculation and continued for 3 days for S. pneumoniae. Animals were euthanized at 0 (control group), 24, 48 or 72 hours post final dose. In vivo efficacy and PK/PD parameters were determined in Staphylococcus aureus isolate (6424MRSA-363), K. pneumoniae isolate (6680kpn-522), and E. coli isolate (6691eco-558) murine thigh infection models. In vivo efficacy and PK/PD parameters (fAUC/MIC, fCmax/MIC and %T>MICfree) were calculated. Respiratory infection occurred in all inoculated mice. KBP-7072 produced a significant (p<0.05 to <0.001) dose-dependent decrease in colony forming units (CFUs) at all doses and a dose-dependent increase in survival rate (p<0.001 vs. vehicle). The median survival in all KBP-7072-treated groups was significantly greater vs. comparators (p<0.001). These results demonstrate potent in vivo efficacy for KBP-7072 and determined that the AUC/MIC parameter was optimal for assessing bacteriostatic and bactericidal effects of KBP-7072.

pharmacology and toxicology↗

bioRxiv2020

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning

Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G protein-coupled receptors (GPCRs) to modulate complex neuropsychiatric functions. Here, we report an automated system comprising a deep recurrent neural network (RNN) and a multitask deep neural network (MTDNN) to design and optimize multitargeted antipsychotic drugs. The system successfully generates novel molecule structures with desired multiple target activities, among which high-ranking compound 3 was synthesized, and demonstrated potent activities against dopamine D2, serotonin 5-HT1A and 5-HT2A receptors. Hit expansion based on the MTDNN was performed, 6 analogs of compound 3 were evaluated experimentally, among which compound 8 not only exhibited specific polypharmacology profiles but also showed antipsychotic effect in animal models with low potential for sedation and catalepsy, highlighting their suitability for further preclinical studies. The approach can be an efficient tool for designing lead compounds with multitarget profiles to achieve the desired efficacy in the treatment of complex neuropsychiatric diseases. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=87 SRC="FIGDIR/small/999615v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@17046d8org.highwire.dtl.DTLVardef@3b4c2aorg.highwire.dtl.DTLVardef@10590e9org.highwire.dtl.DTLVardef@6cc609_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2020

Consistency of superb microvascular imaging and contrast enhanced ultrasonography in detecting intraplaque neovascularization: a meta-analysis

This meta-analysis aimed to identify the consistency of superb microvascular imaging(SMI) and contrast-enhanced ultrasonography(CEUS) in detecting intraplaque neovascularization(IPN). We searched PubMed, Web of Science, Cochrane Library, CISCOM, and CBM databases without language restrictions. Meta-analysis was conducted using STATA version 15.1 software. We calculated the pooled Kappa index. Ten studies that met all inclusion criteria were included in this meta-analysis. A total of 608 carotid plaques were assessed through both SMI and CEUS. The pooled summary Kappa index was 0.743(95 % CI=0.696-0.790) with statistical significance(z= 31.14, p<0.01). We found no evidence for publication bias (t=-1.21, p=0.261). Our meta-analysis indicates that SMI and CEUS display a good consistency in detecting IPN of carotid plaque, that is to say SMI ultrasound maybe a promising alternative to CEUS for detecting IPN of carotid plaque.

biophysics↗

bioRxiv2020

A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images

BackgroundMicrosatellite instability (MSI) is a negative prognostic factor for colorectal cancer (CRC) and can be used as a predictor of success for immunotherapy in pan-cancer. However, current MSI identification methods are not available for all patients. We propose an ensemble multiple instance learning (MIL)-based deep learning model to predict MSI status directly from histopathology images. DesignTwo cohorts of patients were collected, including 429 from The Cancer Genome Atlas (TCGA-COAD) and 785 from a self-collected Asian data set (Asian-CRC). The initial model was developed and validated in TCGA-COAD, and then generalized in Asian-CRC through transfer learning. The pathological signatures extracted from the model are associated with genotypes for model interpretation. ResultsA model called Ensembled Patch Likelihood Aggregation (EPLA) was developed in the TCGA-COAD training set based on two consecutive stages: patch-level prediction and WSI-level prediction. The EPLA model achieved an area-under-the -curve (AUC) of 0.8848 in the TCGA-COAD test set, which outperformed the state-of-the-art approach, and an AUC of 0.8504 in the Asian-CRC after transfer learning. Furthermore, the five pathological imaging signatures identified using the model are associated with genomic and transcriptomic profiles, which makes the MIL model interpretable. Results show that our model recognizes pathological signatures related to mutation burden, DNA repair pathways, and immunity. ConclusionOur MIL-based deep learning model can effectively predict MSI from histopathology images and are transferable to a new patient cohort. The interpretability of our model by association with genomic and transcriptomic biomarkers lays the foundation for prospective clinical research.

bioengineering↗

bioRxiv2020

Reducing monocarboxylate transporter MCT1 worsens experimental diabetic peripheral neuropathy

Diabetic peripheral neuropathy (DPN) is one of the most common complications in diabetic patients. Though the exact mechanism for DPN is unknown, it clearly involves metabolic dysfunction and energy failure in multiple cells within the peripheral nervous system (PNS). Lactate is an alternate source of metabolic energy that is increasingly recognized for its role in supporting neurons. The primary transporter for lactate in the nervous system, monocarboxylate transporter-1 (MCT1), has been shown to be critical for peripheral nerve regeneration and metabolic support to neurons/axons. In this study, MCT1 was reduced in both sciatic nerve and dorsal root ganglia in wild-type mice treated with streptozotocin (STZ), a common model of type-1 diabetes. Heterozygous MCT1 null mice treated with STZ developed a more severe DPN compared to wild-type mice, as measured by greater axonal demyelination, decreased peripheral nerve function, and increased numbness to innocuous low-threshold mechanical stimulation. Given that MCT1 inhibitors are being developed as both immunosuppressive and chemotherapeutic medications, our results suggest that clinical development in patients with diabetes should proceed with caution. Collectively, our findings uncover an important role for MCT1 in DPN and provide a potential lead toward developing novel treatments for this currently untreatable disease.

neuroscience↗

bioRxiv2020

Polyploidization enhancing genetic recombination of the ancestral diploid genome in the evolution of hexaploid wheat

Allopolyploidy increases its evolutionary potential by fixing heterosis and the advantage of gene redundancy. Allelic combinations generated from genetic recombination potentially provide many variations to the selection pools for evolution. May there be any relationship between allopolyploidization and genetic recombination? To study the impact of polyploidy on genetic recombination, we selected wheat as a model and simulated its evolution pathway of allopolyploidy by developing synthetic hexaploid wheat. The change of homologous chromosome recombination were investigated on their diploid DD and tetraploid AABB genomes after their allohexaploidization, respectively. The genetic recombination of the ancestral diploid genome of Aegilops tauschii was enhanced significantly more than 2 folds after their hexaploidization. Hexaploidization enhancing genetic recombination of the ancestral diploid D genome was firstly reported to be a new way to increase evolutionary potential of wheat, which is beneficial for wheat to conquer their narrow origination of D genome, quickly spread and make it a major crop of the world. Finally, re-synthetizing hexaploid wheat using diverse Ae. tauschii species with tetraploid wheat can be considered as a pleiotropic strategy to speed adaptive evolution of bread wheat in breeding processes by increasing both gene allele types and genetic recombination variations.

evolutionary biology↗

bioRxiv2020

mAML: an automated machine learning pipeline with a microbiome repository for human disease classification

Due to the concerted efforts to utilize the microbial features to improve disease prediction capabilities, automated machine learning (AutoML) systems designed to get rid of the tediousness in manually performing ML tasks are in great demand. Here we developed mAML, an ML model-building pipeline, which can automatically and rapidly generate optimized and interpretable models for personalized microbial classification tasks in a reproducible way. The pipeline is deployed on a web-based platform and the server is user-friendly, flexible, and has been designed to be scalable according to the specific requirements. This pipeline exhibits high performance for 13 benchmark datasets including both binary and multi-class classification tasks. In addition, to facilitate the application of mAML and expand the human disease-related microbiome learning repository, we developed GMrepo ML repository (GMrepo Microbiome Learning repository) from the GMrepo database. The repository involves 120 microbial classification tasks for 85 human-disease phenotypes referring to 12,429 metagenomic samples and 38,643 amplicon samples. The mAML pipeline and the GMrepo ML repository are expected to be important resources for researches in microbiology and algorithm developments. Database URLhttp://39.100.246.211:8050/Home

bioinformatics↗

bioRxiv2020

Targeting Aryl Hydrocarbon Receptor with small molecule, 1'H-indole-3'-carbonyl -thiazole-4-carboxylic acid methyl ester blocked human glioma cell invasion via MYH9

Aryl hydrocarbon receptor (AHR) was a master regulator of anti-tumor cell migration in various cell types. Whether and how AHR regulates glioma cell migration is largely unknown. We found that small molecule 2-(1'H-indole-3'-carbonyl)-thiazole-4-carboxylic acid methyl ester (ITE), an endogenous AHR ligand, can significantly block glioma cell migration and invasion in vitro, ex vivo and in vivo. Knocking down AHR by siRNA abolished ITEs migration-inhibiting effects. ITE increased the number of filopodia-like protrusion formation, but reduced protrusion attachment to the extracellular matrix, and inhibited the rear retraction of migrating glioma cells. Moreover, both mesenchymal and amoeboid migrating cells were observed in the DMSO control group while none of the cells display amoeboid migration in the ITE treated group. MYH9 was significantly reduced by ITE treatment in human glioma cells. Over-expression of MYH9 abrogated ITEs migration-inhibiting effects, with the expression level of MYH9 correlated with cell migration ability. Since MYH9 is a component of non-muscle myosin IIA (NMIIA), which is essential for cell migration in 3D confined space, and not a discovered target of AHR, the fact that ITE affects MYH9 via AHR opens a new research and development avenue.

cell biology↗

bioRxiv2020

An unorthodox mechanism underlying voltage sensitivity of TRPV1 ion channel

While the capsaicin receptor TRPV1 channel is a polymodal nociceptor for heat, capsaicin, and proton, the channels responses to each of these stimuli are profoundly regulated by membrane potential, damping or even prohibiting its response at negative voltages and amplifying its response at positive voltages. Though voltage sensitivity plays an important role is shaping pain responses, how voltage regulates TRPV1 activation remains unknown. Here we showed that the voltage sensitivity of TRPV1 does not originate from the S4 segment like classic voltage-gated ion channels; instead, outer pore acidic residues directly partake in voltage-sensitive activation, with their negative charges collectively constituting the observed gating charges. Voltage-sensitive outer pore movement is titratable by extracellular pH and is allosterically coupled to channel activation, likely by influencing the upper gate in the ion selectivity filter. Elucidating this unorthodox voltage-gating process provides a mechanistic foundation for understanding polymodal gating and opens the door to novel approaches regulating channel activity for pain managements.

biophysics↗

bioRxiv2019

Developing a DeSipher method for conformational change detection of membrane receptor complex at residue resolution

While one dimensional 1H nuclear magnetic resonance (1D 1H-NMR) spectroscopy is one of the most important and convenient method for measuring conformation change in biomacromolecules, characterization of protein dynamics in large membrane protein complexes by 1D 1H-NMR remains challenging, due to the difficulty of spectra assignment, low signal-to-noise ratio (S/N) and the need for large amount of protein. Here we report the site-specific incorporation of 4-trimethylsilyl phenylalanine (TMSiPhe) into proteins, through genetic code expansion in Escherichia coli cells, and the measurement of multiple conformational states in membrane protein complex by 1D 1H-NMR. The unique up-field 1H-NMR chemical shift of TMSiPhe, highly efficient and specific incorporation of TMSiPhe enabled facile assignment of the TMSiPhe 1H-NMR signal, and characterization of multiple conformational state in a 150 kilodalton (kD) membrane protein complex, using only 5 M of protein and 20 min spectra accumulation time. This highly efficient and convenient methods should be broadly applicable for the investigation of dynamic conformation change of protein complexes.

biochemistry↗

bioRxiv2019

In vitro pancreatic islet cluster expansion facilitated by hormones and chemicals

Tissue regeneration, such as pancreatic islet tissue propagation in vitro, could serve as a promising strategy for diabetes therapy and personalized drug testing. However, such a protocol has not been realized yet. Propagation could be divided by two steps, which are: (1) expansion in vitro and (2) repeat passaging. Even the in vitro expansion of the islet has not been achieved to date. Here, we describe a method to enable the expansion of islet clusters isolated from pregnant mice or wild-type rats by employing a combination of specific regeneration factors and chemical compounds in vitro. The expanded islet clusters expressed insulin, glucagon and somatostatin, which are markers corresponding to pancreatic {beta} cells, cells and {delta} cells, respectively. These different types of cells grouped together, were spatially organized and functioned similarly to primary islets. Further mechanistic analysis revealed that forskolin in our recipe contributed to renewal and regeneration, whereas exendin4 was essential for preserving islet cell identity. Our results provide a novel method for the in vitro expansion of islet clusters, which is an important step forward in developing future protocols and medium used for islet tissue propagation in vitro. Such method is important for future regenerative diabetes therapies and personalized medicine using large amounts of pancreatic islets derived from the same person.

cell biology↗

bioRxiv2019

The a-isoform of VEGFA165 is a Significantly Stronger Activator of Human Retinal Endothelial Cells compared to the b-isoform

PurposeThere are reports that a b-isoform of Vascular Endothelial Growth Factor-A-165 (VEGFA165b) is predominant in normal human vitreous, switching to the a-isoform (VEGFA165a) in the vitreous of some diseased eyes. While these isoforms appear to have a different ability to activate the VEGF-Receptor-2 (VEGFR2) in various endothelial cells, the nature of their ability to activate intracellular signalling pathways is not fully characterized, especially in retinal endothelial cells. We determined their activation potential for two key intracellular signalling pathways (MAPK, AKT) over complete dose-response curves and compared potential effects on the expression of several VEGFA165 target genes in primary human retinal microvascular endothelial cells (HRMECs). MethodsTo determine full dose-response curves for the activation of MAPK (ERK1/2), AKT and VEGFR2, direct in-cell western assays were developed using primary Human Retinal Microvascular Endothelial Cells (HRMECs). Potential differences in dose-response effects on gene expression markers related to endothelial cell / leukocyte adhesion (ICAM1, VCAM1 and SELE) and tight-junctions (CLDN5 and OCLN) were tested by quantitative-PCR. ResultsActivation dose-response analysis revealed much stronger activation of MAPK, AKT and VEGFR2 by the a-isoform at lower doses. MAPK activation in primary HRMECs displayed a sigmoidal dose-response to a range of VEGFA165a concentrations spanning 10-250 pM, which shifted higher into the 100-5,000 pM range with VEGFA165b. Similar maximum activation of MAPK was achieved by both isoforms at high concentration. Maximum activation of AKT by VEGFA165b was only half of the maximum activation from VEGFA165a. At a lower intermediate dose, where VEGFA165a activated intracellular signalling stronger than VEGFA165b, the changes to VEGFA target gene expression was generally greater with VEGFA165a. ConclusionsIn primary HRMECs, VEGFA165a could maximally activate MAPK and AKT at lower concentrations where VEGFA165b had relatively little effect. The timing for maximal activation of MAPK was similar for both isoforms, which is different than reprorted for non-retinal endothelial cells. While VEGFA165a and VEGFA165b are limited to the sequence of their six C-terminal six amino acids, this results in a large difference in their ablility to activate at least two key intracellular signalling pathways and potentially VEGF target gene expression in primary human retinal endothelial cells.

cell biology↗

bioRxiv2019

Ferroptosis contributes to developmental cell death in rice blast

We identified that ferroptosis, an iron-dependent non-apoptotic cell death process, occurs in the rice blast fungus Magnaporthe oryzae, and plays a key role in infection-related development therein. Ferroptosis in the blast fungus was confirmed based on the four basic criteria. We confirmed the dependence of ferroptosis on ferric ions, and optimized C11-BODIPY581/591 as a key sensor for subcellular detection and quantification of lipid peroxides that mediate ferroptotic cell death during the pathogenic growth phase of M. oryzae. In addition, we uncovered an important regulatory function for reduced glutathione and the NADPH oxidases in generating/modulating the superoxide moieties for ferroptotic cell death in Magnaporthe. Ferroptosis was found to be necessary for the specific developmental cell death in conidia during appressorium maturation in rice blast. Such ferroptotic cell death initiated first in the terminal cell and progressed sequentially to the entire conidium. Chelation of iron or chemical inhibition of ferroptosis caused conidial cells to remain viable and led to strong defects in host invasion by M. oryzae. Precocious induction of ferroptosis in a blast-susceptible rice cultivar led to resistance against M. oryzae invasion. Interestingly, ferroptosis and autophagy were found to play inter-reliant or codependent roles in contributing to such precise cell death in M. oryzae conidia during pathogenic differentiation. Our study provides significant molecular insights into understanding the role of developmental cell death and iron homeostasis in infection-associated morphogenesis and in fungus-plant interaction in the blast pathosystem.

cell biology↗

bioRxiv2019

In Vivo Neuroregeneration to Treat Ischemic Stroke in Adult Non-Human Primate Brains through NeuroD1 AAV-based Gene Therapy

Stroke is a leading cause of death and disability but most of the clinical trials have failed in the past, despite our increasing understanding of the molecular and pathological mechanisms underlying stroke. While many signaling pathways have been identified in the aftermath of stroke, the majority of current approaches are focusing on neural protection rather than neuroregeneration. In this study, we report an in vivo neural regeneration approach to convert brain internal reactive astrocytes into neurons through ectopic expression of a neural transcription factor NeuroD1 in adult non-human primate (NHP) brains following ischemic stroke. We demonstrate that NeuroD1 AAV-based gene therapy can convert reactive astrocytes into neurons with high efficiency (90%), but astrocytes are never depleted in the NeuroD1-expressed areas, consistent with the proliferative capability of astrocytes. The NeuroD1-mediated in vivo astrocyte-to-neuron (AtN) conversion in monkey cortex following ischemic stroke increased local neuronal density, reduced reactive microglia, and surprisingly protected parvalbumin interneurons in the converted areas. The NeuroD1 gene therapy showed a broad time window, from 10 days to 30 days following ischemic stroke, in terms of exerting its neuroregenerative and neuroprotective effects. The cortical astrocyte-converted neurons also showed Tbr1+ cortical neuron identity, similar to our earlier findings in rodent animal models. Unexpectedly, NeuroD1 expression in converted neurons showed a significant decrease after 6 months of viral infection, suggesting a potential self-regulatory mechanism of NeuroD1 in adult mature neurons of NHPs. These results suggest that in vivo cell conversion through NeuroD1-based gene therapy may be an effective approach to regenerate new neurons in adult primate brains for tissue repair.

neuroscience↗

bioRxiv2019

Identification of a Central Neural Circuit that Regulates Anxiety-induced Bone Loss

The homeostasis of bone metabolism is finely regulated by the central nervous system and recent studies have suggested that mood disorders, such as anxiety, are closely related to bone metabolic abnormalities; however, our understanding of central neural circuits regulating bone metabolism is still largely limited. In this study, we first demonstrate that confined isolation of human participants under normal gravity resulted in decreased bone density and elevated anxiety levels. We then used an established mouse model to dissect the neural circuitry regulating anxiety-induced bone loss. Combining electrophysiological, optogenetic and chemogenetic approaches, we demonstrate that GABAergic neural circuitry in ventromedial hypothalamus (VMH) modulates anxiety-induced bone loss; importantly, the GABAergic input in VMHdm arose from a specific group of somatostatin neurons in the bed nucleus of the stria terminalis (BNST), which is both indispensable for anxiety-induced bone loss and able to trigger bone loss in the absence of stressors. VGLUT2 neurons in Nucleus tractus solitaries (NTS) and peripheral sympathetic system were employed by this BNST-VMH neural circuit to regulate anxiety-induced bone loss. Overall, we uncovered new GABAergic neural circuitry from the forebrain to hypothalamus, used in the regulation of anxiety-induced bone loss, and revealed a population of somatostatin neurons in BNST not previously implicated in bone mass regulation. These findings thus identify the underlying central neural mechanism of psychiatric disorders, such as anxiety, that influences bone metabolism at the circuit level.\n\nOne Sentence SummaryIdentification of a new GABAergic neural circuit from forebrain to hypothalamus used for regulation of anxiety-induced bone loss.

neuroscience↗

bioRxiv2019

CCmed: cross-condition mediation analysis for identifying robust trans-eQTLs and assessing their effects on human traits

Trans-eQTLs collectively explain a substantial proportion of expression variation, yet are challenging to detect and replicate since their effects are individually weak. Many trans-effects are mediated by cis-gene expression and some of those effects are shared across tissue types/conditions. To detect robust cis-mediated trans-associations at the gene-level and for specific single nucleotide polymorphisms (SNPs), we proposed two Cross-Condition Mediation methods - CCmedgene and CCmedGWAS, respectively. We analyzed data from 13 brain tissue types from the Genotype-Tissue Expression (GTEx) project, and identified trios with cis-eQTLs of a cis-gene having associations with a trans-gene, many of which show evidence of replication in other datasets. By applying CCmedGWAS, we identified trans-genes associated with known schizophrenia susceptibility loci. We further conducted validation analyses assessing the schizophrenia-risk-associations of the identified trans-genes, by harnessing GWAS summary statistics from the Psychiatric Genomics Consortium and multitissue eQTL statistics from GTEx.

genetics↗