Biology subjects

Yang, J.

Publications and source records attributed to Yang, J..

At least 775 records · Page 43Linked to original sources

bioRxiv2021

Intratumoral Delivered Novel Circular mRNA Encoding Cytokines for Immune Modulation and Cancer Therapy

The application of mRNA as a novel kind of vaccine has been proved recently, due to the emergence use authorization (EUA) by FDA for the two COVID-19 mRNA vaccines developed by Moderna and BioNTech. Both of the two vaccines are based on canonical linear mRNA, and encapsulated by lipid nanoparticle (LNP). Circular mRNA, which is found to mediate potent and durable protein expression, is an emerging technology recently. Owing to its simplicity of manufacturing and superior performance of protein expression, circular mRNA is believed to be a disruptor for mRNA area. However, the application of circular mRNA is still at an initiation stage, proof of concept for its usage as future medicine or vaccine is necessary. In the current study, we established a novel kind of circular mRNA, termed C-RNA, based on Echovirus 29 (E29)-derived internal ribosome entry sites (IRES) and newly designed homology arms and RNA spacers. Our results demonstrated that this kind of circular mRNA is able to mediate strong and durable protein expression, compared to typical linear mRNA. Moreover, for the first time, our study demonstrated that direct intratumoral administration of C-RNA encoding a mixture of cytokines achieved successful modulation of intratumoral and systematic anti-tumor immune responses and finally leading to an enhancement of anti-PD-1 antibody-induced tumor repression in syngeneic mouse model. Additionally, after an optimization of the circular mRNA formulation, a significant improvement of C-RNA mediated protein expression was observed. With this optimized formulation, C-RNA induced enhanced anti-tumor effect via intratumoral administration and elicited significant activation of tumor-infiltrated total T cells and CD8+ T cells. Collectively, we established C-RNA, a novel circular mRNA platform, and demonstrated that it can be applied for direct intratumoral administration for cancer therapy.

cancer biology↗

bioRxiv2021

PTBP1/HNRNP I controls intestinal epithelial cell regeneration by maintaining stem cell survival and stemness

Properly controlled intestinal epithelial cell regeneration is not only vital for protection against insults from environmental hazards but also crucial for preventing intestinal cancer. Intestinal stem cells located in the crypt region provide the driving force for epithelial regeneration, and thus their survival and death must be precisely regulated. We show here that polypyrimidine tract binding protein 1 (PTBP1, also called heterogeneous nuclear ribonucleoprotein I, or HNRNP I), an RNA-binding protein that post-transcriptionally regulates gene expression, is critical for intestinal stem cell survival and stemness. Mechanistically, we show that PTBP1 inhibits the expression of PHLDA3, an AKT repressor, and thereby maintains AKT activity in the intestinal stem cell compartment to promote stem cell survival and proliferation. Furthermore, we show that PTBP1 inhibits the expression of PTBP2, a paralog of PTBP1 that is known to induce neuron differentiation, through repressing inclusion of alternative exon 10 to Ptbp2 transcript. Loss of PTBP1 results in a significant upregulation of PTBP2, which is accompanied by splicing changes in genes that are important for neuronal cell development. This finding suggests that PTBP1 prevents aberrant differentiation of intestinal stem cells into neuronal cells through inhibiting PTBP2. Our results thus reveal a novel mechanism whereby PTBP1 maintains intestinal stem cell survival and stemness through the control of gene function post-transcriptionally.

molecular biology↗

bioRxiv2021

Inhibition of BET family proteins suppresses African swine fever virus infection

African swine fever (ASF), an acute, severe, highly contagious disease caused by African swine fever virus (ASFV) infection in domestic pigs and boars, has a mortality rate of up to 100%. Because effective vaccines and treatments for ASF are lacking, effective control of the spread of ASF remains a great challenge for the pig industry. Host epigenetic regulation is essential for the viral gene transcription. Bromodomain and extraterminal (BET) family proteins, including BRD2, BRD3, BRD4, and BRDT, are epigenetic "readers" critical for gene transcription regulation. Among these proteins, BRD4 recognizes acetylated histones via its two bromodomains (BD1 and BD2) and recruits transcription factors, thereby playing a pivotal role in transcriptional regulation and chromatin remodeling during viral infection. However, how BET/BRD4 regulates ASFV replication and gene transcription is unknown. Here, we randomly selected 12 representative BET family inhibitors and compared their effects on ASFV infection in pigs primary alveolar macrophages (PAMs). They were found to inhibit viral infection by interfering with the different stages of viral life cycle (attachment, internalization, desencapsidation and formation of viral factories). The four most effective inhibitors (ARV-825, ZL0580, I-BET-762 and PLX51107) were selected for further antiviral activity analysis. These BET/BRD4 inhibitors dose-dependently decreased the ASFV titer, viral RNA transcription and protein production in PAMs. Collectively,our study reported novel activity of BET/BRD4 inhibitors in inducing suppression of ASFV infection, providing insights into role of BET/BRD4 in epigenetic regulation of ASFV and potential new strategies for ASF prevention and control. IMPORTANCESince the continuing spread of the ASFV in the world, and lack of commercial vaccines, the development of improved control strategies including antiviral drugs are urgently needed. BRD4 is an important epigenetic factor and has been commonly used for drug development for tumor treatment. Furthermore, the latest research showed that BET/BRD4 inhibition could suppress replication of virus. In this study, we first showed the inhibitory effect of agents targeting BET/BRD4 on ASFV infection with no significant host cytotoxicity. Then, we found 4 BET/BRD4 inhibitors which can inhibit ASFV replication, RNA transcription and protein synthesis. Finally, we analyzed 4 inhibitors biological effect on BRD4 according to the structure of BRD4, and docking analysis of BET-762, PLX51107, ARV-825 and ZL0580 binding to BD1 and BD2 domains of BRD4 was performed. Our findings support the hypothesis that BET/BRD4 can be considered as attractive host targets in antiviral drug discovery against ASFV.

molecular biology↗

bioRxiv2021

Maize root-associated microbes likely under adaptive selection by the host to enhance phenotypic performance

The root-associated microbiome (rhizobiome) plays a non-negligible role in determining plant health, stress tolerance, and nutrient use efficiency. However, it remains unclear to what extent the composition of the rhizobiome is governed by intraspecific variation in host plant genetics in the field and the degree to which host plant selection can reshape the composition of the rhizobiome. Here we quantify the rhizosphere microbial communities associated with a replicated diversity panel of 230 maize (Zea mays L.) genotypes grown in agronomically relevant conditions under high N (+N) and low N (-N) treatments. We show that the abundance of many root-associated microbes within a functional core microbial community of 150 abundant and consistently reproducible microbial groups is explainable by natural genetic variation in the host plant, with a greater proportion of microbial variance attributable to plant genetic variation in low N conditions. Population genetic approaches identify signatures of purifying selection in the maize genome associated with the abundance of several groups of microbes in the maize rhizobiome. Genome-wide association studies conducted using rhizobiome phenotypes identified n = 467 microbe-associated plant loci (MAPLs) in the maize genome linked to variation in the abundance of n = 115 microbial groups in the maize rhizosphere. In 62/115 cases, which is more than expected by chance, the abundance of these same microbial groups was correlated with variation in plant vigor indicators derived from high throughput phenotyping of the same field experiment. This study provides insights into harnessing the full potential of root-associated microbial symbionts in maize production.

plant biology↗

bioRxiv2021

Response of total (DNA) and metabolically active (RNA) microbial communities in Miscanthus x giganteus cultivated soil to different nitrogen fertilization rates

Miscanthus x giganteus is a promising high-yielding perennial plant to meet growing bioenergy demands but the degree to which the soil microbiome affects its nitrogen cycling and subsequently, biomass yield remains unclear. In this study, we hypothesize that contributions of metabolically active soil microbial membership may be underestimated with DNA-based approaches. We assessed the response of the soil microbiome to nitrogen availability in terms of both DNA and RNA soil microbial communities from the Long-term Assessment of Miscanthus Productivity and Sustainability (LAMPS) field trial. DNA and RNA were extracted from 271 samples, and 16S SSU rRNA amplicon sequencing was performed to characterize microbial community structure. Significant differences were observed in the resulting soil microbiomes and were best explained by the sequencing library of origin, either DNA and RNA. Similar numbers of taxa were detected in DNA and RNA microbial communities, with more than 90% of taxa shared. However, the profile of dominant taxa within DNA and RNA differed, with varying proportions of Actinobacteria and Proteobacteria and Firmicutes and Proteobacteria. Only RNA microbial communities showed seasonal responses to nitrogen fertilization, and these differences were associated with nitrogen-cycling bacteria. The relative abundance of bacteria associated with nitrogen cycling was 7-folds higher in RNA than in DNA, and genes associated with denitrifying bacteria were significantly enriched in RNA, suggesting that these bacteria may be underestimated with DNA-only approaches. Our findings indicate that RNA-based SSU characterization can be a significant and complementing resource for understanding the role of soil microbiomes in bioenergy crop production. ImportanceMiscanthus x giganteus is becoming a cornerstone of bioeconomy cropping systems, but it remains unclear how the soil microbiome supplies nitrogen to this low-input crop. DNA-based techniques are used to provide community characterization but may miss important metabolically active taxa. By analyzing both DNA- and actively transcribed RNA-based microbial communities, we found that nitrogen cycling taxa in the soil microbiome may be underestimated using only DNA-based approaches. Accurately understanding the role of microbes and how they cycle nutrients is important for the development of sustainable bioenergy crops, and RNA-based approaches are recommended as a complement to DNA approaches to better understand the microbial, plant, and management interactions.

microbiology↗

bioRxiv2021

Succinate dehydrogenase/complex II is critical for metabolic and epigenetic regulation of T cell proliferation and inflammation

Robust and effective T cell-mediated immune responses require the proper allocation of metabolic resources to sustain energetically costly processes like growth, proliferation, and cytokine production. Epigenetic control of the genome also governs T cell transcriptome and T cell lineage commitment and maintenance. Cellular metabolic programs interact with epigenetic regulation by providing substrates for covalent modifications of chromatin. By employing complementary genetic, epigenetic, and metabolic approaches, we revealed that tricarboxylic acid (TCA) cycle flux fuels biosynthetic processes while controlling the ratio of -ketoglutarate/succinate to modulate the activities of dioxygenases that are critical for driving T cell inflammation. In contrast to cancer cells, where succinate dehydrogenase (SDH)/complex II inactivation drives cell transformation and growth, SDH/complex II deficiency in T cells causes proliferation and survival defects when the TCA cycle is truncated, blocking carbon flux to support nucleosides biosynthesis. Accordingly, replenishing the intracellular nucleoside pool partially relieved the dependence of T cells on SDH/complex II for proliferation and survival. Conversely, SDH deficiency induces a pro-inflammatory gene signature in T cells and promotes T helper 1 (TH1) and T helper 17 (TH17) lineage differentiation. Mechanistically, the hypoxia-inducible factor 1 (HIF-1) is not required for succinate-induced inflammation in T cells. A reduced -ketoglutarate/succinate ratio in SDH deficient T cells promotes inflammation through changing the pattern of the transcriptional and chromatin-accessibility signatures and consequentially increasing the expression of the transcription factor, B lymphocyte-induced maturation protein-1 (Blimp-1). Collectively, our studies revealed a critical role of SDH/complex II in allocating carbon resources for anabolic processes and epigenetic regulation in T cell proliferation and inflammation.

immunology↗

bioRxiv2021

Total parenteral nutrition drives glucose metabolism disorders by modulating gut microbiota and its metabolites

The occurrence of glucose metabolism disorders is a potentially fatal complication of total parenteral nutrition (TPN). However, the mechanisms of TPN-associated glucose metabolism disorders remain unclarified. Given that the glucose metabolism was related to gut microbiome and TPN could induce the gut microbiota dysbiosis, we hypothesized that gut microbiota and its metabolites played the important roles in TPN-associated glucose metabolism disorders. By performing a cohort study of 256 type 2 IF patients given PN, we found that H-PN (PN>80%) patients exhibited insulin resistance and a higher risk of complications. Then, TPN and microbiome transfer mice model showed that TPN promoted glucose metabolism disorders by inducing gut microbiota dysbiosis; 16S rRNA sequencing demonstrated that the abundance of Lactobacillaceae was decreased in mice model and negatively correlated with HOMA-IR and lipopolysaccharide level in TPN patients. Untargeted metabolomics found that indole-3-acetic acid (IAA) was decreased in TPN mice, and the serum level was also decreased in H-PN patients. Furthermore, GLP-1 secretion regulated by IAA and aryl hydrocarbon receptor was reduced in TPN mice and patients; IAA or liraglutide completely prevented glucose metabolism disorders in TPN mice. In conclusion, TPN drives glucose metabolism disorders by inducing alteration of gut microbiota and its metabolites.

microbiology↗

bioRxiv2021

Inactivation of SARS Coronavirus 2 and COVID-19 patient samples for contemporary immunology and metabolomics studies

In late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged from Wuhan, China spurring the Coronavirus Disease-19 (COVID-19) pandemic that has resulted in over 219 million confirmed cases and nearly 4.6 million deaths worldwide. Intensive research efforts ensued to constrain SARS-CoV-2 and reduce COVID-19 disease burden. Due to the severity of this disease, the US Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) recommend that manipulation of active viral cultures of SARS-CoV-2 and respiratory secretions from COVID-19 patients be performed in biosafety level 3 (BSL3) containment laboratories. Therefore, it is imperative to develop viral inactivation procedures that permit samples to be transferred and manipulated at lower containment levels (i.e., BSL2), and maintain the fidelity of downstream assays to expedite the development of medical countermeasures (MCMs). We demonstrate optimal conditions for complete viral inactivation following fixation of infected cells with paraformaldehyde solution or other commonly-used branded reagents for flow cytometry, UVC inactivation in sera and respiratory secretions for protein and antibody detection assays, heat inactivation following cDNA amplification of single-cell emulsions for droplet-based single-cell mRNA sequencing applications, and extraction with an organic solvent for metabolomic studies. Thus, we provide a suite of protocols for viral inactivation of SARS-CoV-2 and COVID-19 patient samples for downstream contemporary immunology assays that facilitate sample transfer to BSL2, providing a conceptual framework for rapid initiation of high-fidelity research as the COVID-19 pandemic continues.

microbiology↗

bioRxiv2021

A multimodal imaging and analysis pipeline for creating a cellular census of the human cerebral cortex

Cells are not uniformly distributed in the human cerebral cortex. Rather, they are arranged in a regional and laminar fashion that span a range of scales. Here we demonstrate an innovative imaging and analysis pipeline to construct a reliable cell census across the human cerebral cortex. Magnetic resonance imaging (MRI) is used to establish a macroscopic reference coordinate system of laminar and cytoarchitectural boundaries. Cell counting is obtained with both traditional immunohistochemistry, to provide a stereological gold-standard, and with a custom-made inverted confocal light-sheet fluorescence microscope (LSFM) for 3D imaging at cellular resolution. Finally, mesoscale optical coherence tomography (OCT) enables the registration of the distorted histological cell typing obtained with LSFM to the MRI-based atlas coordinate system.

neuroscience↗

bioRxiv2021

Transfer of Knowledge from Model Organisms to Evolutionarily Distant Non-Model Organisms: The Coral Pocillopora damicornis Membrane Signaling Receptome

With the ease of gene sequencing and the technology available to study and manipulate non-model organisms, the need to translate our understanding of model organisms to non-model organisms has become an urgent problem. For example, mining of large coral and their symbiont sequence data is a challenge, but also provides an opportunity for understanding functionality and evolution of these and other non-model organisms. Much more information than for any other eukaryotic species is available for humans, especially related to signal transduction and diseases. However, the coral cnidarian host and human have diverged over 700 million years ago and homologies between proteins are therefore often in the gray zone or undetectable with traditional BLAST searches. We introduce a two-stage approach to identifying putative coral homologues of human proteins. First, through remote homology detection using Hidden Markov Models, we identify candidate human homologues in the cnidarian genome. However, for many proteins, the human genome alone contains multiple family members with similar or even more divergence in sequence. In the second stage, therefore, we filter the remote homology results based on the functional and structural plausibility of each coral candidate, shortlisting the coral proteins likely to be true human homologues. We demonstrate our approach with a pipeline for mapping membrane receptors in humans to membrane receptors in corals, with specific focus on the stony coral, P. damicornis. More than 1000 human membrane receptors mapped to 335 coral receptors, including 151 G protein coupled receptors (GPCRs). To validate specific sub-families, we chose opsin proteins, representative GPCRs that confer light sensitivity, and Toll-like receptors, representative non-GPCRs, which function in the immune response, and their ability to communicate with microorganisms. Through detailed structure-function analysis of their ligand-binding pockets and downstream signaling cascades, we selected those candidate remote homologues likely to carry out related functions in the corals. This pipeline may prove generally useful for other non-model organisms, such as to support the growing field of synthetic biology.

bioinformatics↗

bioRxiv2021

Remarkable Adsorption Performance of Rutile TiO2 (110) Nanosheet for DNA Nucleobases: A First-Principles Study

The remarkable biocompatibility and supreme physical properties of nanostructured TiO2 have promised itself a strong future for biomedical applications. The present study reported a theoretical study on the adsorption of rutile TiO2 (110) nanosheet for DNA nucleobases using first-principles calculations. The calculations of the binding energy and work function demonstrate that the TiO2 nanosheet has remarkable adsorption strength to the DNA nucleobases, being more than 20 times larger than that of graphene and its derivatives. Further electronic band structure and density of state calculations elucidate the interaction mechanisms, which originate from dramatically reduced energy levels and strong hybridization of the 2p orbital of C, N and/or O with 3d orbital of Ti atoms near the Fermi level. The study directs a promising material at applications in DNA sensors and sequencers.

bioengineering↗

bioRxiv2021

A bacterial Argonaute with efficient DNA and RNA cleavage activity guided by small DNA and RNA

Argonaute proteins are widespread in prokaryotes and eukaryotes. Most prokaryotic Argonaute proteins (pAgos) use 5P-gDNA to target complementary DNA. However, more and more studies on the properties of pAgos make their functions more diversified. Previously reported pAgos only possess several forms of high activity in all eight cleavage patterns, which limits their practical applications. Here, we described a unique pAgo from Marinitoga hydrogenitolerans (MhAgo) with eight cleavage activities. MhAgo can utilize all four types of guides (5OH-gDNA, 5P-gDNA, 5OH-gRNA, and 5P-gRNA) for ssDNA and RNA cleavage. Further studies demonstrated that MhAgo had high activities with 16-21 nt guides and no obvious preferences for the 5-end nucleotides of 5OH-guides. Unexpectedly, MhAgo had different preferences for the 5-end nucleotides of 5P-guides depending on the types of targets. Although the specificity of MhAgo was related to the types of guides, single mismatches in the central and 3-supplementary regions of guides greatly reduced the cleavage efficiency. Additionally, the electrophoretic mobility shift assay (EMSA) demonstrated MhAgo had the weakest affinity for 5P-gRNA:tRNA duplex, which was consistent with its cleavage efficiency. In conclusion, MhAgo is highly active under a wide range of conditions and can be used for programmable endonucleolytic cleavage of both ssDNA and RNA substrates. The abundant biochemical characteristics of MhAgo broaden our understanding of pAgos and expand the potential application in nucleic acids manipulations.

molecular biology↗

bioRxiv2021

Evolving in the darkness: phylogenomics of Sinocyclocheilus cavefishes highlights recent diversification and cryptic diversity

Troglomorphism-- any morphological adaptation enabling life to the constant darkness of caves, such as loss of pigment, reduced eyesight or blindness, over-developed tactile and olfactory organs--has long intrigued biologists. However, inferring the proximate and ultimate mechanisms driving the evolution of troglomorphism in freshwater fish requires a sound understanding of the evolutionary relationships between surface and troglomorphic lineages. We use Restriction Site Associated DNA Sequencing (RADseq) to better understand the evolution of the Sinocyclocheilus fishes of China. With a remarkable array of derived troglomorphic traits, they comprise the largest cavefish diversification in the world, emerging as a multi-species model system to study evolutionary novelty. We sequenced a total of 120 individuals throughout the Sinocyclocheilus distribution. The data comprised a total of 646,497bp per individual, including 4378 loci and 67,983 SNPs shared across a minimum of 114 individuals at a given locus. Phylogenetic analyses using either the concatenated RAD loci (RAxML) or the SNPs under a coalescent model (SVDquartets, SNAPP) showed a high degree of congruence with similar topologies and high node support (> 95 for most nodes in the phylogeny). The major clades recovered conform to a pattern previously established using Sanger-based mt-DNA sequences, with a few notable exceptions. We now recognize six major clades in this group, elevating the blind cavefish S. tianlinensis and the micro-eyed S. microphthalmus as two new distinct clades due to their deep divergence from other clades. PCA plots of the SNP data also supports the recognition of six major clusters of species congruent with the identified clades based on the spatial arrangement and overlap of the species in the PC space. A Bayes factor delimitation (BFD) analysis showed support for 21 species, recognizing 19 previously described species and two putative new cryptic ones. Two species whose identities were previously disputed, S. furcodorsalis and S. tianeensis, are supported here as distinct species. In addition, our multi-species calibrated tree in SNAPP suggests that the genus Sinocyclocheilus originated around 10.5 Mya, with most speciation events occurring in the last 2 Mya, likely favored by the uplift of the Qinghai-Tibetan Plateau and cave occupation induced by climate-driven aridification during this period. These results provide a firm basis for future comparative studies on the evolution of Sinocyclocheilus and its adaptations to cave life.

evolutionary biology↗

bioRxiv2021

Non-parametric Functional Muscle Network as a Robust Biomarker of Fatigue

The possibility of muscle fatigue detection using surface electromyography has been explored and multiple biomarkers, such as median frequency, have been suggested. However, there are contradictory reports in the literature which results in an inconsistent understanding of the biomarkers of fatigue. Thus, there is an unmet need for a statistically robust sEMG-based biomarker for fatigue detection. This paper, for the first time, demonstrates the superior capability of a non-parametric muscle network to reliably detect fatigue-related changes. Seven healthy volunteers completed a lower limb exercise protocol, which consisted of 30s of a sit-to-stand exercise before and after the completion of fatiguing leg press sets. A non-parametric muscle network was constructed, using Spearmans power correlation and showed a very reliable decrease in network metrics associated with fatigue (degree, weighted clustering coefficient (WCC)). The network metrics displayed a significant decrease at the group level (degree, WCC: p < 0.001), individual subject level (degree: p < 0.035 WCC: p < 0.004) and particular muscle level (degree: p < 0.017). Regarding the decrease in mean degree connectivity at particular muscles, all seven subjects followed the group trend. In contrast to the robust results achieved by the proposed non-parametric muscle network, classical spectrotemporal measurements showed heterogeneous trends at the particular muscle and individual subject levels. Thus, this paper for the first time shows that non-parametric muscle network is a reliable biomarker of fatigue and could be used in a broad range of applications.

neuroscience↗

bioRxiv2021

Metformin modulates microbiota-derived inosine and ameliorates methamphetamine-induced anxiety and depression-like withdrawal symptoms in mice

ObjectiveMetformin exhibits therapeutic potential in behavioural deficits induced by methamphetamine (METH) in rats. Emerging studies suggest gut microbiota may impact psychiatric symptoms, but there is no direct evidence supporting metformins participation in the pathophysiology of withdrawal symptoms via modulation of gut microbiota. MehodsIn order to define the functional contributions by gut microbiota and metformin to the behavioural deficits during METH withdrawal, we utilized a combination of fecal microbiota transplantation (FMT), high-throughput sequencing, and untargeted metabolomics technologies. ResultsFirst, METH addicts exhibited higher diversity and distinct microbial structures compared to heathy controls. In particular, the relative abundance of Rikenellaceae was positively correlated with the severity of anxiety and depression. Second, both human-to-mouse and mouse-to-mouse FMTs confirmed that METH-altered-microbiota transplantation is sufficient to promote anxiety and depression-like behaviours in recipient germ-free mice, and these behavioural disturbances could be ameliorated by metformin. In-depth analysis revealed that METH significantly altered the bacterial composition and structure as well as relative abundance of several bacterial taxa and metabolites, including Rikenellaceae and inosine, respectively, whereas add-on metformin could remodel these alterations. Finally, the inosine complementation successfully restored METH-induced anxiety and depression-like behaviours in mice. DiscussionThis study demonstrates that METH withdrawal-induced anxiety and depression-like behaviours are convertible and transmissible via gut microbiota in a mouse model. The therapeutic effects of metformin on psychiatric manifestations are associated with microbiota-derived metabolites, highlighting the role of the gut microbiota in substance use disorders and the pathophysiology of withdrawal symptoms. Study HighlightsO_ST_ABSWhat is known?C_ST_ABSO_LIThere are no targeted therapies for substance withdrawal syndrome, but there is considerable evidence that withdrawal-associated psychiatric manifestations contribute to the poor adherence to rehabilitation treatment as well as the relapse rates. C_LIO_LIMetformin has shown its therapeutic potential against METH-induced neurobehavioural changes and neurodegeneration in rats through CREB/BDNF and Akt/GSK3 signaling pathways in the anxiety-related brain nuclei. C_LI What is new here?O_LIMETH withdrawal-induced anxiety and depression-like behaviours are convertible and transmissible via gut microbiota in a mouse model. C_LIO_LIThe therapeutic effects of metformin on psychiatric manifestations are associated with microbiota derived metabolites. C_LIO_LIInosine complementation could restore METH withdrawal-induced anxiety and depression-like behaviours. C_LI

animal behavior and cognition↗

bioRxiv2021

TT-Mars: Structural Variants Assessment Based on Haplotype-resolved Assemblies

Variant benchmarking is a critical component of method development and evaluating the accuracy of studies of genetic variation. Currently, the best approach to evaluate the accuracy of a callset is the comparison against a well curated gold standard. In repetitive regions of the genome it may be difficult to establish what is the truth for a call, for example when different alignment scoring metrics provide equally supported but different variant calls in on the same data. Here we provide an alternative approach, TT-Mars, that takes advantage of the recent production of high-quality haplotype-resolved genome assemblies by evaluating variant calls based on how well their call reflects the content of the assembly, rather than comparing calls themselves. We used TT-Mars to assess callsets from different SV discovery methods on multiple human genome samples and demonstrated that it is capable at accurately classifying true positive and false positive SVs. On the HG002 personal genome, TT-Mars recapitulates 96.0%-99.6% of the validations made using the Genome in a Bottle gold standard callset evaluated by truvari, and evaluates an additional 121-10,966 variants across different callsets. Furthermore, with a group of high-quality assemblies, TT-Mars can evaluate performance of SV calling algorithms as a distribution rather than a point estimate. We also compare TT-Mars against the long-read based validation tool, VaPoR, and when assembly-based variant calls produced by dipcall are used as a gold standard. Compared with VaPoR, TT-Mars analyzes more calls on a long read callset by assessing more short variant calls (< 100 bases), while requiring smaller input. Compared with validation using dipcall variants, TT-Mars analyzes 1,497-2,229 more calls on long read callsets and has favorable results when candidate calls are fragmented into multiple calls in alignments. TT-Mars is available at https://github.com/ChaissonLab/TT-Mars.git with accompanying assembly data and corresponding liftover files.

genomics↗

bioRxiv2021

A merger between compatible but divergent genomes supports allopolyploidization in the Brassicaceae family

Hybridization and polyploidization are pivotal to plant evolution. Genetic crosses between distantly related species rarely occur in nature mainly due to reproductive barriers but how such hurdles can be overcome is largely unknown. xBrassicoraphanus is a fertile intergeneric allopolyploid synthesized between Brassica rapa and Raphanus sativus in the Brassicaceae family. Genomes of B. rapa and R. sativus are diverged enough to suppress synapsis formation between non-homologous progenitor chromosomes during meiosis, and we found that both genomes reside in the single nucleus of xBrassicoraphanus without genome loss or rearrangement. Expressions of syntenic orthologs identified in B. rapa and R. sativus were adjusted to a hybrid nuclear environment of xBrassicoraphanus, which necessitates reconfiguration of transcription network by rewiring cis-trans interactions. B. rapa coding sequences have a higher level of gene-body methylation than R. sativus, and such methylation asymmetry is maintained in xBrassicoraphanus. B. rapa-originated transposable elements were transcriptionally silenced in xBrassicoraphanus, rendered by gain of CHG methylation in trans via small RNAs derived from the same sequences of R. sativus subgenome. Our work proposes that not only transcription compatibility but also a certain extent of genome divergence supports hybrid genome stabilization, which may explain great diversification and expansion of angiosperms during evolution.

plant biology↗

bioRxiv2021

pChem: a modification-centric assessment tool for the performance of chemoproteomic probes

Chemoproteomics has emerged as a key technology to expand the functional space in complex proteomes for probing fundamental biology and for discovering new small molecule-based therapies. Here we report a modification-centric computational tool termed pChem to provide a streamlined pipeline for unbiased performance assessment of chemoproteomic probes. The pipeline starts with an experimental setting for isotopically coding probe-derived modifications (PDMs) that can be automatically recognized by pChem, with masses accurately calculated and sites precisely localized. Further, pChem exports on-demand reports by scoring the profiling efficiency, modification-homogeneity and proteome-wide residue selectivity of a tested probe. The performance and robustness of pChem were benchmarked by applying it to eighteen bioorthogonal probes. Of note, the analyses reveal that the formation of unexpected PDMs can be driven by endogenous reactive metabolites (e.g., bioactive aldehydes and glutathione). Together, pChem is a powerful and user-friendly tool that aims to facilitate the development of probes for the ever-growing field of chemoproteomics.

bioinformatics↗