Biology subjects

Zhou, D.

Publications and source records attributed to Zhou, D..

At least 109 records · Page 6Linked to original sources

bioRxiv2023

Single cell transcriptomics reveals chondrocyte differentiation dynamics in vivo and in vitro

The consistent production of in vitro chondrocytes that faithfully recapitulate in vivo development would be of great benefit for musculoskeletal disease modelling and regenerative medicine. Current efforts are often limited by off-target differentiation, resulting in a heterogeneous product. Furthermore, the lack of comparison to human embryonic tissue, precludes detailed evaluation of in vitro cells. Here, we perform single-cell RNA sequencing of embryonic long bones dissected from first trimester hind limbs from a range of gestational ages. We combine this with publicly available data to form a detailed atlas of endochondral ossification, which we then use to evaluate a series of published in vitro chondrogenesis protocols, finding substantial variability in cell states produced by each. We apply single-nuclear RNA sequencing to one protocol to enable direct comparison between in vitro and in vivo, and perform trajectory alignment between the two to reveal differentiation dynamics at the single-cell level, shedding new light on off-target differentiation in vitro. Using this information, we inhibit the activity of FOXO1, a transcription factor predicted to be active in embryonic bone development and in chondrogenic cells in vitro, and increase chondrocyte transcripts in vitro. This study therefore presents a new framework for evaluating tissue engineering protocols, using single-cell data from human development to drive improvement and bring the prospect of true engineered cartilage closer to reality.

bioengineering↗

bioRxiv2023

Integrating population-level and cell-based signatures for drug repositioning

Drug repositioning presents a streamlined and cost-efficient way to expand the range of therapeutic possibilities. Drugs with human genetic evidence are more likely to advance successfully through clinical trials towards FDA approval. Single gene-based drug repositioning methods have been implemented, but approaches leveraging a broad spectrum of molecular signatures remain underexplored. We propose a framework called "TReD" (Transcriptome-informed Reversal Distance) that integrates population-level disease signatures robust to reverse causality and cell-based, drug-induced transcriptome response profiles. TReD embeds the disease signature and drug response profiles in a high-dimensional normed space, quantifying the reversal potential of candidate drugs in a disease-related cell-based screening. Here, we implemented this framework to identify potential therapeutics relevant to COVID-19 and type 2 diabetes (T2D). For COVID-19, we identified 36 drugs showing potential reversal roles. Notably, nearly 70% (25/36) of the drugs have been linked to COVID-19 from other studies, with seven drugs supported by ongoing/completed clinical trials. For T2D, we observed reversal signals for 16 compounds on multiple disease signatures. Five drugs are supported by published literature, affirming potential therapeutic value. In summary, we propose a comprehensive genetics-anchored framework integrating population-level signatures and cell-based screening that has the potential to accelerate the search for new therapeutic strategies.

bioinformatics↗

bioRxiv2023

Sophocarpine inhibits TRP channels to produce anti-pruritic and analgesic effects in a mouse model of inflammatory itch and pain

Background and objectiveItch, an unpleasant sensation prompting the urge to scratch, and pain, aimed at detecting potential harm through acute withdrawal or protective behaviors, are increasingly recognized as interconnected phenomena. The co-occurrence of itch and pain symptoms in various diseases impairs therapeutic efficacy and the quality of life. In this study, we investigated the potential antipruritic and analgesic effects of sophocarpine (SC), an active compound of Sophorae Flavesentis Radix, in a murine model of inflammatory itch and pain, and sought to elucidate the underlying mechanisms. MethodThe anti-pruritic and analgesic effects of three doses of SC (60 mg/kg, 30 mg/kg, 10 mg/kg) were tested by analyzing the scratching and wiping behaviors in squaric acid dibutylester (SABDE)-induced allergic contact dermatitis (ACD) mouse model accompany by itch and pain, respectively. Psoriasis area and severity index (PASI) score was used to test the anti-inflammatory effect of SC. The underlying mechanisms were studied by real-time quantitative polymerase chain reaction (RT-qPCR) and western blotting. Additionally, the anti-pruritic and analgesic effects of SC were further tested in mice with intradermal injection of allyl-isothiocyanate (AITC), a TRPA1 agonist, or capsaicin (CAP), a TRPV1 agonist, respectively. The relationships between SC, AITC, CAP and TRPV1, TRPA1 were simulated by molecular docking. ResultsSC treatment significantly decreased scratching bouts and wipes, as well as the PASI score. Administration of SC reduced the mRNA and protein expression of both TRPA1 and TRPV1. Moreover, pretreatment of SC decreased scratching bouts and wipes induced by AITC as well as by CAP. Molecular docking revealed potential competitive binding between SC and AITC on TRPA1, and SC and CAP on TRPV1. ConclusionWe demonstrated that SC has strong anti-pruritic and analgesic effects by targeting the TRPA1 and TRPV1 ion channels, and is a potential competitive inhibitor of TRPA1 and TRPV1. These findings suggest that SC has significant therapeutic potential in the therapy of diseases with inflammatory itch and pain.

pharmacology and toxicology↗

bioRxiv2023

Differential effects of aneuploidy on growth and differentiation in human intestinal stem cells

Aneuploidy, a near ubiquitous genetic feature of tumors, is a context-dependent driver of cancer evolution; however, the mechanistic basis of this role remains unclear. Here, by inducing heterogeneous aneuploidy in non-transformed human colon organoids (colonoids), we investigate how the effects of aneuploidy on cell growth and differentiation may promote malignant transformation. Single-cell RNA sequencing reveals that the gene expression signature across over 100 unique aneuploid karyotypes is enriched with p53 responsive genes. The primary driver of p53 activation is karyotype complexity. Complex aneuploid cells with multiple unbalanced chromosomes activate p53 and undergo G1 cell-cycle arrest, independent of DNA damage and without evidence of senescence. By contrast, simple aneuploid cells with 1-3 chromosomes gained or lost continue to proliferate, demonstrated by single cell tracking in colonoids. Notably, simple aneuploid cells exhibit impaired differentiation when niche factors are withdrawn. These findings suggest that while complex aneuploid cells are eliminated from the normal epithelium due to p53 activation, simple aneuploid cells can escape this checkpoint and may contribute to niche factor-independent growth of cancer-initiating cells.

cell biology↗

bioRxiv2023

Androgen blockade primes NLRP3 in macrophages to induce tumor phagocytosis

Immune-based therapies induce durable remissions in subsets of patients across multiple malignancies. However, there is limited efficacy of immunotherapy in metastatic castrate-resistant prostate cancer (mCRPC), manifested by an enrichment of immunosuppressive (M2) tumor- associated macrophages (TAM) in the tumor immune microenvironment (TME). Therefore, therapeutic strategies to overcome TAM-mediated immunosuppression are critically needed in mCRPC. Here we discovered that NLR family pyrin domain containing 3 (NLRP3), an innate immune sensing protein, is highly expressed in TAM from metastatic PC patients treated with standard-of-care androgen deprivation therapy (ADT). Importantly, ex vivo studies revealed that androgen receptor (AR) blockade in TAM upregulates NLRP3 expression, but not inflammasome activity, and concurrent AR blockade/NLRP3 agonist (NLRP3a) treatment promotes cancer cell phagocytosis by immunosuppressive M2 TAM. In contrast, NLRP3a monotherapy was sufficient to enhance phagocytosis of cancer cells in anti-tumor (M1) TAM, which exhibit high de novo NLRP3 expression. Critically, combinatorial treatment with ADT/NLRP3a in a murine model of advanced PC resulted in significant tumor control, with tumor clearance in 55% of mice via TAM phagocytosis. Collectively, our results demonstrate NLRP3 as an AR-regulated "macrophage phagocytic checkpoint", inducibly expressed in TAM by ADT and activated by NLRP3a treatment, the combination resulting in TAM-mediated phagocytosis and tumor control.

cancer biology↗

bioRxiv2023

Cooperativity and induced oligomerisation control the interaction of SARS- CoV-2 with its cellular receptor and patient-derived antibodies

Viral entry is mediated by oligomeric proteins on the virus and cell surfaces. The association is therefore open to multivalent interactions between these proteins, yet such recognition is typically rationalised as affinity between monomeric equivalents. As a result, assessment of the thermodynamic mechanisms that control viral entry has been limited. Here, we use mass photometry to overcome the analytical challenges consequent to multivalency. Examining the interaction between the spike protein of SARS-CoV-2 and the ACE2 receptor, we find that ACE2 induces oligomerisation of spike in a variant-dependent fashion. We also demonstrate that patient-derived antibodies use induced-oligomerisation as a primary inhibition mechanism or to enhance the effects of receptor-site blocking. Our results reveal that naive affinity measurements are poor predictors of potency, and introduce a novel antibody-based inhibition mechanism for oligomeric targets. One-Sentence SummaryMultivalent interactions between viral proteins, cell-surface receptors, and anti-viral antibodies regulate infection and inhibition.

biophysics↗

bioRxiv2023

GABA Release From Central Amygdala Neurotensin Neurons Differentially Modulates Reward and Consummatory Behavior in Male and Female Mice

The central nucleus of the amygdala is known to play key roles in alcohol use and affect. Neurotensin neurons in the central nucleus of the amygdala have been shown to regulate alcohol drinking in male mice. However, little is known about which neurotransmitters released by these cells drive alcohol consumption or whether these cells drive alcohol consumption in female mice. Here we show that knockdown of GABA release from central amygdala neurotensin neurons using a Nts-cre-dependent vGAT-shRNA-based AAV strategy reduces alcohol drinking in male, but not female, mice. This manipulation did not impact avoidance behavior, except in a fasted novelty-suppressed feeding test, in which vGAT shRNA mice demonstrated increased latency to feed on a familiar high-value food reward, an effect driven by male mice. In contrast, vGAT shRNA female mice showed heightened sensitivity to thermal stimulation. These data show a role for GABA release from central amygdala neurotensin neurons in modulating consumption of rewarding substances in different motivational states.

neuroscience↗

bioRxiv2023

Using network control theory to study the dynamics of the structural connectome

Network control theory (NCT) is a simple and powerful tool for studying how network topology informs and constrains dynamics. Compared to other structure-function coupling approaches, the strength of NCT lies in its capacity to predict the patterns of external control signals that may alter dynamics in a desired way. We have extensively developed and validated the application of NCT to the human structural connectome. Through these efforts, we have studied (i) how different aspects of connectome topology affect neural dynamics, (ii) whether NCT outputs cohere with empirical data on brain function and stimulation, and (iii) how NCT outputs vary across development and correlate with behavior and mental health symptoms. In this protocol, we introduce a framework for applying NCT to structural connectomes following two main pathways. Our primary pathway focuses on computing the control energy associated with transitioning between specific neural activity states. Our second pathway focuses on computing average controllability, which indexes nodes general capacity to control dynamics. We also provide recommendations for comparing NCT outputs against null network models. Finally, we support this protocol with a Python-based software package called network control theory for python (nctpy).

neuroscience↗

bioRxiv2023

Unleashing the Power of NR4A1 Degradation as a Novel Strategy for Cancer Immunotherapy

An effective cancer therapy requires both killing cancer cells and targeting tumor-promoting pathways or cell populations within the tumor microenvironment (TME). We purposely search for molecules that are critical for multiple tumor-promoting cell types and identified nuclear receptor subfamily 4 group A member 1 (NR4A1) as one such molecule. NR4A1 has been shown to promote the aggressiveness of cancer cells and maintain the immune suppressive TME. Using genetic and pharmacological approaches, we establish NR4A1 as a valid therapeutic target for cancer therapy. Importantly, we have developed the first-of-its kind proteolysis-targeting chimera (PROTAC, named NR-V04) against NR4A1. NR-V04 effectively degrades NR4A1 within hours of treatment in vitro and sustains for at least 4 days in vivo, exhibiting long-lasting NR4A1-degradation in tumors and an excellent safety profile. NR-V04 leads to robust tumor inhibition and sometimes eradication of established melanoma tumors. At the mechanistic level, we have identified an unexpected novel mechanism via significant induction of tumor-infiltrating (TI) B cells as well as an inhibition of monocytic myeloid derived suppressor cells (m-MDSC), two clinically relevant immune cell populations in human melanomas. Overall, NR-V04-mediated NR4A1 degradation holds promise for enhancing anti- cancer immune responses and offers a new avenue for treating various types of cancer.

cancer biology↗

bioRxiv2023

MELISSA: Semi-Supervised Embedding for Protein Function Prediction Across Multiple Networks

MotivationSeveral popular methods exist to predict function from multiple protein-protein association networks. For example, both the Mashup algorithm, introduced by Cho, Peng and Berger, and deepNF, introduced by Gligorijevi[c], Barotand, and Bonneau, analyze the diffusion in each network first, to characterize the topological context of each node. In Mashup, the high-dimensional topological patterns in individual networks are canonically represented using low-dimensional vectors, one per gene or protein, to yield the multi-network embedding. In deepNF, a multimodal autoencoder is trained to extract common network features across networks that yield a low-dimensional embedding. Neither embedding takes into account known functional labels; rather, these are then used by the machine learning methods applied after embedding. ResultsWe introduce MELISSA (MultiNetwork Embedding with Label Integrated Semi-Supervised Augmentation) which incorporates functional labels in the embedding stage. The function labels induce sets of "must link" and "cannot link" constraints which guide a further semi-supervised dimension reduction to yield an embedding that captures both the network topology and the information contained in the annotations. We find that the MELISSA embedding improves on both the Mashup and deepNF embeddings in creating more functionally enriched neighborhoods for predicting GO labels for multiplex association networks in both yeast and humans. AvailabilityMELISSA is available at https://github.com/XiaozheHu/melissa

bioinformatics↗

bioRxiv2023

Frequency-dependent selection of neoantigens fosters tumor immune escape and predicts immunotherapy response

Cancer is an evolutionary process undergoing stringent immune selection. However, recent studies have revealed that certain tumors undergo neutral evolution following the malignant transformation. Here, we propose negative frequency-dependent selection (or NFDS), where the immune response against cancer cells depends on the clonality of neoantigens, can lead to an immunogenic landscape that is similar to neutral evolution. With a stochastic model of NFDS, we demonstrated that NFDS promotes early immune evasion in hypermutable tumors, leading to neutral-like evolutionary dynamics with high antigenic heterogeneity and worse response to immune checkpoint blockade (ICB) therapy. Our model also revealed that NFDS is characterized by a negative association between average clonality and total burden of neoantigens. Indeed, NFDS was validated with whole-exome sequencing datasets (357 tumor samples from 275 patients) from four melanoma cohorts with ICB therapy. Altogether, our study provides the first quantitative evidence supporting the theory of NFDS in immune-driven cancer evolution. These findings highlight the critical role of NFDS theory in devising more efficient and predictive immunotherapies.

cancer biology↗

bioRxiv2023

Upstream ribosome impediments activate roles of internal Shine-Dalgarno sequence for translation initiation in E. coli

The initiation of protein translation, one of the four phases of translation, had been proved to be the rate limiting step for translation. The specific interaction of bacterial 30S ribosomal subunit with Shine-Dalgarno sequence (SD) contributes the initiation significantly. It had been shown that SD-like sequence in coding region of mRNA, designated as internal SD, can direct translation initiation as regular SD does. The ribosome impediments were demonstrated to be one of the factors contributing the non-uniform translation elongation rate, but their effects on internal SD translation initiation role (ISTIR) remains unclear. To investigate effects of upstream ribosome impediments on ISTIR, a fragment consisting of pyruvate kinase (PK) gene, translation initiation needed mRNA elements (including an A/U-rich region, SD sequence and start codon AUG) and red fluorescent protein (RFP) gene was constructed and RFP expression levels representing translation initiation efficiency induced by internal SD was analyzed. Surprisingly, RFP expression was not detected with this primary construct, further experiments of inclusion of stem loop structure preceding to internal SD or co-expression of engineered RNA binding scaffold (ERBS) targeting to preceding sequence of internal SD could activate ISTIR. These results suggest that upstream ribosome impediments would activate ISTIR to initiate the downstream gene translation, which manifests the potential for developing new method to test interactions between RNA binding proteins and their target RNA molecules in vivo.

molecular biology↗

bioRxiv2023

Histone deacetylase 3 plays a critical role in hypertension-induced kidney inflammation and fibrosis

Objective: Hypertension is a major cause of chronic kidney disease. The molecular mechanisms how hypertension causes kidney disease are not fully understood. In this study, we examined the functional role of histone deacetylase 3 (HDAC3) in the pathogenesis of hypertensive kidney disease. Approach and Results: Myeloid HDAC3 knockout mice were generated by crossing HDAC3f/f mice with LysM-Cre+/- mice. Both LysM-Cre-/-HDAC3f/f (HDAC3CON) mice and LysM-Cre+/+HDAC3f/f (HDAC3MKO) mice were subjected to uninephrectomy and treated with angiotensin II at 1.5 ug/kg/min or vehicle for 28 days. Blood pressure increased comparably in both HDAC3CON and HDAC3MKO mice following angiotensin II treatment. Compared with HDAC3CON mice, HDAC3MKO mice were protected from angiotensin II-induced kidney dysfunction and pathological injury and developed less proteinuria. Myeloid HDAC3 deficiency markedly attenuated the protein levels of fibronectin, collagen I, and ?-SMA in the kidney following angiotensin II treatment. Furthermore, HDAC3MKO mice accumulated significantly fewer myeloid fibroblasts and macrophages in the kidney after angiotensin II treatment. Myeloid HDAC3 deficiency significantly reduced the mRNA expression of proinflammatory molecules in the kidney following angiotensin II treatment. In cultured macrophages, knockdown of HDAC3 with shRNA suppressed proinflammatory molecule expression. Furthermore, knockdown of HDAC3 inhibited NF-kB p65 enrichment to IL-6 promoter. Conclusion: Our study identifies a critical role of myeloid HDAC3 in the regulation of hypertension-induced kidney inflammation and fibrosis. Targeting HDAC3 may represent a novel therapeutic strategy for hypertensive kidney disease.

pathology↗

bioRxiv2023

The impact of common variants on gene expression in the human brain: from RNA to protein to schizophrenia risk

BackgroundThe impact of genetic variants on gene expression has been intensely studied at the transcription level, yielding invaluable insights into the association between genes and the risk of complex disorders, such as schizophrenia (SCZ). However, the downstream impact of these variants and the molecular mechanisms connecting transcription variation to disease risk are not well understood. ResultsWe quantitated ribosome occupancy in prefrontal cortex samples of the BrainGVEX cohort. Together with transcriptomics and proteomics data from the same cohort, we performed cis-Quantitative Trait Locus (QTL) mapping and identified, at 10% false discovery rate, 3,253 expression QTLs (eQTLs), 1,344 ribosome occupancy QTLs (rQTLs), and 657 protein QTLs (pQTLs) out of 7,458 genes from 185 samples. Of the eQTLs identified, only 34% have their effects propagated to the protein level. Further analysis on the effect size of prefrontal cortex eQTLs identified from an independent dataset clearly replicated the post-transcriptional attenuation of eQTL effects. We identified omics-specific QTLs and investigated their potential in driving disease risks. Using both a variant-based approach and a gene-based approach, we identified genes containing expression-specific QTLs (esQTLs), ribosome-occupancy-specific QTLs (rsQTLs), and protein-specific QTLs (psQTLs). Among the variant-based omics-specific QTL, 38 showed strong colocalization with brain associated disorder GWAS signals, 29 of them are esQTLs. From the gene-based approach, we found 11 brain associated disorder risk genes that are driven predominantly by omics-specific QTL, all of them are driven by variants impacting transcriptional regulation. To take a complementary approach to further investigate the functional relevance of genes driven predominantly by attenuated eQTL signals, we identified SCZ risk genes using each omics independently and then investigated the omics-specificity of the driver regulatory process for each risk gene. Using S-PrediXcan we identified 74 SCZ risk genes across the three omics, 30% of which were novel, and 67% of these risk genes were confirmed to be causal in a MR-Egger test. Notably, 52 out of the 74 risk genes were identified using eQTL data and 68% of these SCZ-risk-gene-driving eQTLs show little to no evidence of driving corresponding variations at the protein level. ConclusionThe effect of eQTLs on gene expression in the prefrontal cortex is commonly attenuated post-transcriptionally. Many of the attenuated eQTLs still correlate with GWAS signals of brain associated complex disorders, indicating the possibility that these eQTL variants drive disease risk through mechanisms other than regulating protein expression level. Further investigation is needed to elucidate the mechanistic link between attenuated eQTLs and brain associated complex disorders.

genetics↗

bioRxiv2023

Soil intake modifies the gut microbiota and alleviates ovalbumin-induced mice asthma inflammation

BackgroundLow cleanliness living environment (LCLE) can increase gut microbial diversity and prevent allergic diseases, whereas gut microbial dysbiosis is closely related to the pathogenesis of asthma. Our previous studies suggested that soil in the LCLE is a key factor in shaping intestinal microbiota. ObjectiveWe aimed to explore if sterilized soil intake as prebiotics while being incubated with microbes in the air can attenuate mice asthma symptoms by modifying gut microbiota. Methods16S rRNA gene sequencing was used to analyze the gut microbial composition, in combination with immune parameters measured in the lung and serum samples. Results16S rRNA gene sequencing results showed significant differences in the fecal microbiota composition between the test and control mice, with a higher abundance of Allobaculum, Alistipes, and Lachnospiraceae_UCG-001, which produce short-chain fatty acids and are beneficial for health in the test mice. Soil intake downregulated the concentrations of IL-6, IL-4, IL-17F, TNF-, and IL-22 in serum and increased the expression of IFN-{gamma}, which regulated the Th1/Th2 balance in lung by polarizing the immune system toward Th1, strongly alleviating ovalbumin-induced asthma inflammation. The effect of sensitization on gut microbiota was greater than that of air microbes and age together, but weaker than that of soil. ConclusionSoil intake had a significant therapeutic effect on mouse asthma, possibly by promoting the growth of multiple beneficial bacteria. The results indicated that the development of soil-based prebiotic products might be used for allergic asthma management and our study provides further evidence for the hygiene hypothesis. ImportanceExposure to a low cleanliness living environment (LCLE), of which soil is an important component, can shape the gut microbiota and support immune tolerance, preventing allergic diseases such as eczema and asthma. However, with the rapid progress of urbanization, it is impossible to return to farm-like living and we are becoming disconnected from the soil. Here, our study found that ingesting sterilized soil and living in an LCLE have the same protective effects on asthma inflammation. Ingestion of sterilized soil significantly altered the gut microbial composition and exerted significant therapeutic effects on asthmatic mice. However, edible sterilized soil possesses more advantages than LCLE exposure, such as the absence of pathogenic bacteria, safer, and convenience. The results indicate that the development of soil-based prebiotic products might be used for allergic asthma management and our study further supports the hygiene hypothesis. NotificationThe article is currently undergoing peer review in the World Allergy Organization Journal.

microbiology↗

bioRxiv2023

Prolonged stalling of RNA Polymerase II at DNA damage explains phenotypical differences between Cockayne and UV-sensitive syndromes

Faithful transcription of eukaryotic genes by RNA polymerase II (Pol II) is essential for proper cell function. Nevertheless, the integrity of the DNA template of Pol II is continuously challenged by different sources of DNA damage, such as UV-light, that impede transcription. When unresolved, these transcription-blocking lesions (TBLs) can cause cellular dysfunction, senescence and apoptosis, eventually resulting in DNA damage-induced aging. Cells counteract these deleterious effects by Transcription-Coupled Nucleotide Excision Repair (TC-NER), which specifically removes TBLs, thereby safeguarding transcription. TC-NER initiation relies on the concerted actions of the CSB, CSA and UVSSA proteins, and loss of either of these factors results in a complete TC-NER deficiency. Although their TC-NER defect is similar, UVSSA loss results in UV-Sensitive Syndrome (UVSS), with only mild phenotypes like freckling and photosensitivity, while loss of CSA or CSB activity results in the severe Cockayne Syndrome (CS), characterized by premature aging, progressive neurodegeneration and mental retardation. Thus far the underlying mechanism for these striking differences in phenotypes remains unclear. Using live-cell imaging approaches, here we show that in TC-NER proficient cells lesion-stalled Pol II is swiftly resolved by repair of the TBL. However, in CSA and CSB knockout (KO) cells, elongating Pol II remains chromatin-bound. This lesion-stalled Pol II will obstruct other DNA transacting processes and will also shield the damage from repair by alternative pathways. In contrast, in UVSSA KO cells, Pol II is removed from the TBL by VCP-mediated proteasomal degradation, thereby, allowing alternative repair mechanisms to remove the TBL.

cell biology↗

bioRxiv2023

An inverse agonist of orphan receptor GPR61 reveals a novel allosteric mechanism

GPR61 is a biogenic amine receptor-related orphan GPCR associated with phenotypes relating to appetite and thus, is of interest as a druggable target to treat disorders of metabolism and body weight, such as obesity and cachexia. To date, lack of structural information or a known biological ligand or tool compound has hindered comprehensive efforts to study its structure and function. Here, we report the first ever structural characterization of GPR61, in both its active-like complex with heterotrimeric G protein and in its inactive state. Moreover, we report the discovery of a potent and selective small-molecule inverse agonist against GPR61 and structural elucidation of its unprecedented allosteric site and mode of action. These findings offer key mechanistic insights into an orphan GPCR, while providing both a new structural framework and tool compound to support further studies of GPR61 function and modulation.

biophysics↗

bioRxiv2023

Site effects depth denoising and signal enhancement using dual-projection based ICA model

Combining magnetic resonance imaging (MRI) data from multi-site studies is a popular approach for constructing larger datasets to greatly enhance the reliability and reproducibility of neuroscience research. However, the scanner/site variability is a significant confound that complicates the interpretation of the results, so effective and complete removal of the scanner/site variability is necessary to realize the full advantages of pooling multi-site datasets. Independent component analysis (ICA) and general linear model (GLM) based denoising methods are the two primary methods used to denoise scanner/site-related effects. Unfortunately, there are challenges with both ICA-based and GLM-based denoising methods to remove site effects completely when the signals of interest and scanner/site-related noises are correlated, which may occur in neuroscience studies. In this study, we propose an effective and powerful denoising strategy that implements dual-projection (DP) theory based on ICA to remove the scanner/site-related effects more completely. This method can separate the signal effects correlated with noise variables from the identified noise effects for removal without losing signals of interest. Both simulations and vivo structural MRI datasets, including a dataset from Autism Brain Imaging Data Exchange II and a traveling subject dataset from the Strategic Research Program for Brain Sciences, were used to test the proposed GLM- and ICA-based denoising methods and our DP-based ICA denoising method. Results show that DP-based ICA

neuroscience↗