Biology subjects

Wen, J.

Publications and source records attributed to Wen, J..

At least 73 records · Page 4Linked to original sources

bioRxiv2023

Title: Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease

Although thousands of genomic regions have been associated with heritable human diseases, attempts to elucidate biological mechanisms are impeded by a general inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function that is agnostic to cell type or disease mechanism. Here, single base phyloP scores from the whole genome alignment of 240 placental mammals identified 3.5% of the human genome as significantly constrained, and likely functional. We compared these scores to large-scale genome annotation, genome-wide association studies (GWAS), copy number variation, clinical genetics findings, and cancer data sets. Evolutionarily constrained positions are enriched for variants explaining common disease heritability (more than any other functional annotation). Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

genomics↗

bioRxiv2023

Nodule-specific Cu+-chaperone NCC1 is required for symbiotic nitrogen fixation in Medicago truncatula root nodules

Cu+-chaperones are a diverse group of proteins that allocate Cu+ ions to specific copper-proteins, creating different copper pools targeted to specific physiological processes. Symbiotic nitrogen fixation carried out in legume root nodules indirectly requires relatively large amounts of copper e.g. for energy delivery via respiration, for which targeted copper deliver systems would be required. MtNCC1 is a nodule-specific Cu+-chaperone encoded in the Medicago truncatula genome, with a N-terminus Atx1-like domain that can bind Cu+ with picomolar affinities. This gene is expressed primarily from the late infection zone to the early fixation zone, and is located in the cytosol, associated to plasma and symbiosome membranes, and within nuclei. Consistent with its key role in nitrogen fixation, ncc1 mutants have a severe reduction of nitrogenase activity, and a 50% reduction in copper-dependent cytochrome c oxidase activity. A subset of the copper-proteome is also affected in the mutant nodules. Many of these proteins can be pulled-down when using a Cu+-loaded N-terminal MtNCC1 moiety as a bait, indicating a role in nodule copper homeostasis and in copper-dependent physiological processes. Overall, these data suggest a pleiotropic role of MtNCC1 in copper delivery for symbiotic nitrogen fixation.

plant biology↗

bioRxiv2023

Efficient transgene-free genome editing in plants in the T0 generation based on a co-editing strategy

Transgene-free genome editing of plants in the T0 generation is highly desirable but challenging, especially in perennials and vegetatively propagated plants. Here, we investigated the co-editing strategy for generating transgene-free, gene-edited plants via Agrobacterium-mediated transient expression of cytosine base editor (CBE)/gRNA-Cas12a/crRNA-GFP in planta. Specifically, CBE/gRNA was used to base edit the ALS gene to confer resistance to herbicide chlorsulfuron as a selection marker, which has no negative effects on plant phenotypes; Cas12a/crRNA was used for editing genes(s) of interest; GFP was used for selecting transgene-free transformants. Using this approach, transgene-free genome-edited plants were efficiently generated for various genes (either individual or multiplex) in tomato, tobacco, potato, and citrus in the T0 generation. The biallelic/homozygous transgene-free mutation rates for target genes among herbicide-resistant transformants ranged from 8% to 50%. Whole genome sequencing further confirmed transgene-free and absence of off-target mutations in the edited plants. The co-editing strategy is efficient for generating transgene-free, genome-edited plants in the T0 generation, thus being a potent tool for plant genetic improvement.

plant biology↗

bioRxiv2023

Integrated Cell Landscape and Dynamics in the Progression of Bone Repair

Bone homeostasis and repair is a systematic progress with spatiotemporal interaction of multiple cell types involved in skeletal and immune system. Precise spatiotemporal regulation of cell type-specific functions in bone repair contributes to further development of tissue engineering and regenerative medicine. Here, we utilized single-cell RNA sequencing to illustrate a map of cell landscape and dynamics in the progression of rodent bone self-healing and a perturbation by lymphoid cell-deficiency. We identified different functions of myeloid cell and lymphoid cell to osteogenesis and angiogenesis during bone repair and their mutual complementation under lymphoid cell-deficient condition. Additionally, we used CD34+ humanized reconstituted mice to reveal further insights into the mechanism of human bone homeostasis and repair. Our integrated cellular analysis of bone repair explores the functional diversity and complementation between myeloid cells and lymphoid cells during bone healing process and provides further therapeutic implications for the treatment of bone disease and degeneration following ageing.

cell biology↗

bioRxiv2023

Light sensitive short hypocotyl (LSH) confer symbiotic nodule identity in the legume Medicago truncatula

Legumes grow specialized root nodules that are distinct from lateral roots in morphology and function, with nodules intracellularly hosting beneficial nitrogen-fixing bacteria that provide the plant with a nitrogen source. We have previously shown that a lateral root-like program underpins nodule initiation, but there must be additional developmental programs that confer nodule identity. Here, we show that two members of the LIGHT SENSITIVE SHORT HYPOCOTYL (LSH) transcription factor family, predominantly known to define organ boundaries and meristem complexity in the shoot, function as regulators of nodule organ identity. LSH1/LSH2 function upstream of and together with the known nodule regulators Nuclear Factor Y-A1 and NODULE ROOT1/2. The principal outcome of LSH1/LSH2 function is the production of cells able to accommodate nitrogen-fixing bacteria, the unique nodule feature. We conclude that the coordinate recruitment of a pre-existing primordium identity program, in parallel to a root initiation program, underpins the divergence between lateral roots and nodules.

plant biology↗

bioRxiv2023

PRDM16 restricts stem cell proliferation by integrating BMP and Wnt signalling in the developing choroid plexus

BMP signalling acts as an instructive cue in various developmental processes such as tissue patterning, stem cell proliferation, and differentiation. However, it is not fully understood how this signalling pathway generates different cell-specific outputs. Here we have identified PRDM16 as a key co-factor for BMP signalling. PRDM16 contributes to a repressive role of BMP signalling on neural stem cell (NSC) proliferation. We demonstrate that PRDM16 regulates the genomic distribution of BMP pathway transcription factors, the SMAD4/pSMAD complex, preventing the activation of cell proliferation genes. When Prdm16 is lost, the SMAD complex relocates to nearby genomic regions, leading to abnormal upregulation of BMP target genes. This function of PRDM16 is also required for the specification of choroid plexus (ChP) epithelial cells. Through a single-cell resolution fluorescent in situ approach, we have observed that genes co-repressed by SMAD and PRDM16, such as Wnt7b and several cell cycle regulators, become overexpressed in Prdm16 mutant ChP. Our findings elucidate a mechanism through which SMAD4 and pSMAD1/5/8 repress gene expression. Moreover, our study suggests a regulatory circuit composed of BMP and Wnt signaling, along with PRDM16, in controlling stem cell behaviors.

developmental biology↗

bioRxiv2022

DeepGWAS: Enhance GWAS Signals for Neuropsychiatric Disorders via Deep Neural Network

Genetic dissection of neuropsychiatric disorders can potentially reveal novel therapeutic targets. While genome-wide association studies (GWAS) have tremendously advanced our understanding, we approach a sample size bottleneck (i.e., the number of cases needed to identify >90% of all loci is impractical). Therefore, computationally enhancing GWAS on existing samples may be particularly valuable. Here, we describe DeepGWAS, a deep neural network-based method to enhance GWAS by integrating GWAS results with linkage disequilibrium and brain-related functional annotations. DeepGWAS enhanced schizophrenia (SCZ) loci by [~]3X when applied to the largest European GWAS, and 21.3% enhanced loci were validated by the latest multi-ancestry GWAS. Importantly, DeepGWAS models can be transferred to other neuropsychiatric disorders. Transferring SCZ-trained models to Alzheimers disease and major depressive disorder, we observed 1.3-17.6X detected loci compared to standard GWAS, among which 27-40% were validated by other GWAS studies. We anticipate DeepGWAS to be a powerful tool in GWAS studies.

genetics↗

bioRxiv2022

Signaling Node at TSC2 S1365 Potently Regulates T-Cell Differentiation and Improves Adoptive Cellular Cancer Therapy

MTORC1 integrates signaling from the immune microenvironment to regulate T-cell activation, differentiation, and function. TSC2 in the tuberous sclerosis complex potently regulates mTORC1 activation. CD8+ T-cells lacking TSC2 have constitutively enhanced mTORC1 activity and generate potent effector T cells; however sustained mTORC1 activation prevents generation of long-lived memory CD8+ T-cells. Here we show manipulating TSC2 at Ser1365 potently regulates activated but not basal mTORC1 signaling in T cells. Unlike non-stimulated TSC2 knockout cells, CD8+ T-cells expressing mutant TSC2-S1365A (SA) have normal basal mTORC1 activity. PKC and T-cell Receptor (TCR) stimulation induces TSC2 S1365 phosphorylation and preventing this with the SA mutation markedly increases mTORC1 activation and T-cell effector function. Consequently, CD8+ SA T-cells display greater effector responses while retaining their capacity to become long-lived memory T-cells. CD8+ SA T-cells also display enhanced effector function under hypoxic and acidic conditions. In murine and human solid-tumor models, CD8+ SA T-cells used as adoptive cell therapy have greater anti-tumor immunity than WT CD8+ T-cells. These findings reveal an upstream mechanism to regulate mTORC1 activity in T-cells. The TSC2-SA mutation enhances both T-cell effector function and long-term persistence/memory formation, supporting a novel approach to engineer better CAR-T cells to treat cancer.

immunology↗

bioRxiv2022

CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimised deep neural network architectures to predict expression from sequences. High predictive performance due to the modelling of dependencies within and between regulatory sequences is an enabler for biological discoveries in gene regulation through model interpretation techniques. To understand the regulatory code that delineates gene expression, we have designed a novel deep-learning model (CRMnet) to predict gene expression in Saccharomyces cerevisiae. Our model outperforms the current benchmark models and achieves a Pearson correlation coefficient of 0.971. Interpretation of informative genomic regions determined from model saliency maps, and overlapping the saliency maps with known yeast motifs, support that our model can successfully locate the binding sites of transcription factors that actively modulate gene expression. We compare our models training times on a large compute cluster with GPUs and Google TPUs to indicate practical training times on similar datasets.

bioinformatics↗

bioRxiv2022

A Semi-Supervised Ensemble Approach to Rank Potential Causal Variants and Their Target Genes in Microglia for Alzheimer's Disease

Alzheimers disease (AD) is the leading cause of death among individuals over 65. Despite many AD genetic variants detected by large genome-wide association studies (GWAS), a limited number of causal genes have been confirmed. Conventional machine learning techniques integrate functional annotation data and GWAS signals to assign variants functional relevance probabilities. Yet, a large proportion of genetic variation lies in the non-coding genome, where unsupervised and semi-supervised techniques have demonstrated greater advantage. Furthermore, cell-type specific approaches are needed to better understand disease etiology. Studying AD from a microglia-specific lens is more likely to reveal causal variants involved in immune pathways. Therefore, in this study, we developed S-BEAM: a semi-supervised ensemble approach using microglia-specific data to prioritize non-coding variants and their target genes that play roles in immune-related AD mechanisms. We designed a transductive positive-unlabeled and negative-unlabeled learning model that employs a bagging technique to learn from unlabeled variants, generating multiple predicted probabilities of variant risk. Using a combined homogeneous-heterogeneous ensemble framework, we aggregated the predictions. We applied our model to AD variant data, identifying 11 risk variants acting in well-known AD genes, such as TSPAN14, INPP5D, and MS4A2. These results validated our models performance and demonstrated a need to study these genes in the context of microglial pathways. We also proposed further experimental study for 37 potential causal variants associated with less-known genes. Our work has utility in predicting AD relevant genes and variants functioning in microglia and can be generalized for application to other complex diseases or cell types.

genomics↗

bioRxiv2022

Endogenous RNAi silences a burgeoning sex chromosome arms race

Although the biological utilities of endogenous RNAi (endo-RNAi) have been largely elusive, recent studies reveal its critical role in the non-model fruitfly Drosophila simulans to suppress selfish genes, whose unchecked activities can severely impair spermatogenesis. In particular, hairpin RNA (hpRNA) loci generate endo-siRNAs that suppress evolutionary novel, X-linked, meiotic drive loci. The consequences of deleting even a single hpRNA (Nmy) in males are profound, as such individuals are nearly incapable of siring male progeny. Here, comparative genomic analyses of D. simulans and D. melanogaster mutants of the core RNAi factor dcr-2 reveal a substantially expanded network of recently-emerged hpRNA-target interactions in the former species. The de novo hpRNA regulatory network in D. simulans bears compelling signatures of sex chromosome conflict and provides insight into molecular strategies that underlie hpRNA emergence. In particular, our data support the existence of ongoing rapid evolution of Nmy/Dox-related networks, recurrent targeting of testis HMG Box loci by hpRNAs, and connections to the piRNA pathway. Importantly, the impact of the endo-RNAi network on gene expression flips the convention for regulatory networks, since we observe strong derepression of targets of the youngest hpRNAs, but only mild effects on the targets of the oldest hpRNAs. These data suggest that endo-RNAi are especially critical during incipient stages of intrinsic sex chromosome conflicts, and that continual cycles of distortion and resolution may contribute to the segregation of species.

evolutionary biology↗

bioRxiv2022

β1-adrenergic receptor on pyramidal neurons of mPFC regulates METH-preferred behaviors in METH-sired male mice

Paternal abuse of drugs, such as methamphetamine (METH), elevates the risk of developing addiction in subsequent generations, however, its underlying molecular mechanism remains poorly understood. Male adult mice (F0) were exposed to METH for 30 days, followed by mating with naive female mice to create the first-generation mice (F1). When growing to adulthood, F1 were subjected to conditioned place preference (CPP) test. Subthreshold dose of METH, insufficient to induce CPP normally, were used in F1 (METHF1). Selective antagonist (betaxolol) for {beta}1-adrenergic receptor (ADRB1) or its knocking-down virus were administrated into mPFC to regulate ADRB1 function and expression on CaMKII-positive neurons. METH-sired male F1 acquired METHF1-induced CPP, indicating that paternal METH exposure induce higher sensitivity to METH in male F1. Compared with saline (SAL)-sired male F1, CaMKII-positive neuronal activity was normal without METHF1, but strongly evoked after METHF1 treatment in METH-sired male F1 during adulthood. METH-sired male F1 had higher ADRB1 levels without METHF1, which was kept at higher levels after METHF1 treatment in mPFC. Either inhibiting ADRB1 function with betaxolol, or knocking-down ADRB1 level on CaMKII-positive neurons (ADRB1CaMKII) with virus transfection efficiently suppressed METHF1-evoked mPFC acyivation, and ultimately blocked METHF1-induced CPP in METH-sired male F1. In the process, the p-ERK1/2 and {Delta}FosB may be potential subsequent signals of mPFC ADRB1CaMKII. The mPFC ADRB1CaMKII mediates paternal METH exposure-induced higher sensitivity to drug addiction in male offspring, raising a promising pharmacological target for predicting or treating transgenerational addiction. HIGHLIGHTSO_LIPaternal methamphetamine (METH) exposure induces higher sensitivity to METH in male F1 during adulthood, accompanied with higher ADRB1 level in mPFC. C_LIO_LIMETH use in F1 (METHF1) evokes more CaMKII-positive neurons in mPFC of METH-sired than saline-sired male F1. C_LIO_LIInhibiting ADRB1 function or knocking-down ADRB1 level on CaMKII-positive neurons (ADRB1CaMKII) efficiently suppresses METHF1-evoked mPFC activation, and ultimately rescues transgenerational susceptibility to addiction in male F1. C_LI

neuroscience↗

bioRxiv2022

Target sequence capture data shed light on the deeper evolutionary relationship on the subgenus Chamaecerasus of Lonicera (Caprifoliaceae)

The genus Lonicera L. is widely distributed and is well-known for its high species richness and morphological diversity. Previous studies have suggested that many sections of Lonicera are not monophyletic and phylogenetic relationships within the genus are still poorly known. In this study, we sampled 37 accessions of Lonicera, covering four sections of subgenus Chamaecerasus plus six outgroup taxa to recover the main clades of Lonicera based on sequences of nuclear loci generated by target enrichment and cpDNA from genome skimming. We found extensive cytonuclear discordance across the subgenus. Both nuclear and plastid phylogenetic analyses supported subgenus Chamaecerasus sister to subgenus Lonicera. Within subgenus Chamaecerasus, sections Isika and Niatoon were polyphyletic. Based on the nuclear and chloroplast phylogenies we propose to merge Lonicera korolkowii into section Coeloxylosteum and Lonicera caerulea into section Nintooa. In addition, Lonicera is estimated to have originated in the late Miocene (19.84 Ma). The stem age of section Nintooa was estimated to be 17.97 Ma (95% HPD: 13.31- 22.89). The stem age of subgenus Lonicera was estimated to be 16.35 Ma (95% HPD: 9.33- 45.15). Ancestral area reconstruction analyses indicate that Lonicera originated in the Qinghai Tibet Plateau (QTP) and Asia, with subsequent dispersal into other areas. The aridification of the Asian interior possibly promoted the rapid radiation of Lonicera within this region, and the uplift of the QTP appears to have triggered the dispersal and recent rapid diversification of the genus in the QTP and adjacent regions. Overall, this study provides new insights into the taxonomically complex lineages of Lonicera at the section level and the process of speciation.

evolutionary biology↗

bioRxiv2022

Activation of Cerebellar Lobule VI PCTH+boxhMed Pathway Selectively blocks METH-induced Conditioned Place Preference in mice

The cerebellum is implicated in drug addiction. However, the cerebellar neuronal circuitry underlying addiction, especially classic pathway of Purkinje cells (PCs) to deep cerebellar nuclei (DCN), are largely unknown. Here, tracing experiments showed robust projections from the cerebellar lobule VI tyrosine hydroxylase (TH)-positive PCs (PCTH+) to CaMKII-positive glutamatergic neurons in medial cerebellar nucleus (MedCaMKII), forming PCTH+-MedCaMKII pathway. Then, mice were subjected to methylamphetamine (METH)-induced conditioned place preference (CPP), showing that METH exposure excited MedCaMKII and inhibited PCTH+. Silencing MedCaMKII by tettox suppressed the formation and expression of METH-induced CPP, but produced serious motor coordination deficits. Chemogenetic activation of lobule VI PCTH+-Med pathway during METH CPP training blocked the formation and expression of METH-induced CPP without affecting motor coordination, locomotor activity and sucrose reinforcements in mice. Our findings revealed a novel cerebellar lobule VI PCTH+-MedCaMKII pathway and pointed out is critical role in encoding METH-preferred behaviors.

neuroscience↗

bioRxiv2022

Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study

To learn multiscale functional connectivity patterns of the aging brain, we built a brain age prediction model of functional connectivity measures at seven scales on a large fMRI dataset, consisting of resting-state fMRI scans of 4259 individuals with a wide age range (22 to 97 years, with an average of 63) from five cohorts. We computed multiscale functional connectivity measures of individual subjects using a personalized functional network computational method, harmonized the functional connectivity measures of subjects from multiple datasets in order to build a functional brain age model, and finally evaluated how functional brain age gap correlated with cognitive measures of individual subjects. Our study has revealed that functional connectivity measures at multiple scales were more informative than those at any single scale for the brain age prediction, the data harmonization significantly improved the brain age prediction performance, and harmonization in the tangent space worked better than in the original space. Moreover, brain age gap scores of individual subjects derived from the brain age prediction model were significantly correlated with clinical and cognitive measures. Overall, these results demonstrated that multiscale functional connectivity patterns learned from a large-scale multi-site rsfMRI dataset were informative for characterizing the aging brain and the derived brain age gap was associated with cognitive and clinical measures.

bioengineering↗

bioRxiv2022

Targeting Chromatin Effector Pygo2 to Enhance Immunotherapy in Prostate Cancer

The noninflamed microenvironment in prostate cancer represents a barrier to immunotherapy. Genetic alterations underlying cancer cell-intrinsic oncogenic signaling have emerging roles in shaping the immune landscape. Recently, we identified Pygopus 2 (PYGO2) as the driver oncogene for the amplicon at 1q21.3. Here, using transgenic mouse models of metastatic prostate adenocarcinoma, we found that Pygo2 deletion decelerated tumor progression, diminished metastases, and extended survival. Pygo2 loss augmented the infiltration of cytotoxic T lymphocytes (CTLs) and sensitized tumor cells to T cell killing. Mechanistically, Pygo2 orchestrated a p53/Sp1/Kit/Ido1 signaling network to foster a microenvironment hostile to CTLs. Genetic or pharmacological inhibition of Pygo2 enhanced the anti-tumor efficacy of immunotherapies using immune checkpoint blockade, adoptive cell transfer, or myeloid-derived suppressor cell inhibitors. In human prostate cancer samples, Pygo2 expression was inversely correlated with CD8+ T cells. Our results highlight a promising path to improving immunotherapy with targeted therapy for lethal prostate cancer.

cancer biology↗

bioRxiv2022

Long divergent haplotypes introgressed from wild sheep are associated with distinct morphological and adaptive characteristics in domestic sheep

The worldwide sheep population comprises more than 1000 breeds. Together, these exhibit a considerable morphological diversity, which has not been extensively investigated at the molecular level. Here, we analyze whole-genome sequencing individuals of 1,098 domestic sheep from 154 breeds, and 69 wild sheep from seven Ovis species. On average, we detected 6.8%, 1.0% and 0.2% introgressed sequence in domestic sheep originating from Iranian mouflon, urial and argali, respectively, with rare introgressions from other wild species. Interestingly, several introgressed haplotypes contributed to the morphological differentiations across sheep breeds, such as a RXFP2 haplotype from Iranian mouflon conferring the spiral horn trait, a MSRB3 haplotype from argali strongly associated with ear morphology, and a VPS13B haplotype probably originating from urial and mouflon possibly associated with facial traits. Our results reveal that introgression events from wild Ovis species contributed to the high rate of morphological differentiation in sheep breeds, but also to individual variation within breeds. We propose that long divergent haplotypes are a ubiquitous source of phenotypic variation that allows adaptation to a variable environment, and that these remain intact in the receiving population due to reduced recombination.

evolutionary biology↗

bioRxiv2022

Ribo-macs derived from nucleoli:big ribosome clusters in the cytoplasm of naive stem cells

Primed stem cells and naive stem cells are important for understanding early development, but their ribosomes have not been focused on. In this study, we find that big ribosome clusters named Ribo-macs exist in the cytoplasm of naive stem cells. Then, we prove that Ribo-macs are dynamic and physiological in the cytoplasm, and can synthesize proteins associated with biogenesis of endoplasmic reticulum and mitochondria. We also discover and demonstrate that Ribo-macs are the nucleoli, which of significance is promoting us to rethink our understanding of nucleoli. Besides, we reveal that Ribo-macs have a compatible relation with P-bodies and stress granules. In a word, all the results about Ribo-macs provide us with a new insight to understand how cells adapt quickly to environment.

developmental biology↗