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Jiang, Y.

Publications and source records attributed to Jiang, Y..

At least 361 records · Page 20Linked to original sources

Directed Biosynthesis of Mitragynine Stereoisomers

Mitragyna speciosa ("Kratom") is used as a natural remedy for pain and management of opioid dependence. The pharmacological properties of Kratom have been linked to a complex mixture of monoterpene indole alkaloids, most notably mitragynine. Here, we report the central biosynthetic steps responsible for the scaffold formation of mitragynine and related corynanthe-type alkaloids. We illuminate the mechanistic basis by which the key stereogenic centre of this scaffold is formed. These discoveries were leveraged for the enzymatic production of mitragynine, the C-20 epimer speciogynine, and a series of fluorinated analogues.

biochemistry↗

Greengenes2 enables a shared data universe for microbiome studies

16S rRNA and shotgun metagenomics studies typically yield different results, usually attributed to biases in PCR amplification of 16S rRNA genes. Here, we introduce Greengenes2 and show that differences in reference phylogeny are more important. By inserting sequences into a whole-genome phylogeny, we show that 16S rRNA and shotgun metagenomic data generated from the same samples agree in principal coordinates space, taxonomy, and in phenotype effect size when analyzed with the same tree.

bioinformatics↗

A dedicated hypothalamic oxytocin circuit controls aversive social learning

To survive and thrive in a complex social group, it is essential to not only know who to approach but more importantly who to avoid. After a single defeat, mice learn to stay away from the winning aggressor for weeks. Here, we identify oxytocin neurons in the retrochiasmatic supraoptic nucleus (SOROXT) and oxytocin receptor expressing cells in the anterior subdivision of ventromedial hypothalamus, ventrolateral part (aVMHvlOXTR) as a key circuit motif for defeat-induced social avoidance learning. After defeat, aVMHvlOXTR cells drastically increase their responses to aggressor cues. This response change is functionally important as optogenetic activation of aVMHvlOXTR cells elicits time-locked social avoidance towards a benign social target whereas inactivating the cells suppresses defeat-induced social avoidance. Furthermore, OXTR in the aVMHvl is itself essential for the behavior change. Knocking out OXTR in the aVMHvl or antagonizing the receptor during defeat, but not during post-defeat social interaction, impairs defeat-induced social avoidance. aVMHvlOXTR receives its private source of oxytocin from SOROXT cells, which are highly activated by the noxious somatosensory inputs associated with defeat. Oxytocin released from SOROXT depolarizes aVMHvlOXTR cells and facilitates their synaptic potentiation, and hence, increases aVMHvlOXTR cell responses to aggressor cues. Ablating SOROXT cells impairs defeat-induced social avoidance learning whereas activating the cells promotes social avoidance after a subthreshold defeat experience. Altogether, our study reveals an essential role of SOROXT-aVMHvlOXTR circuit in defeat-induced social learning and highlights the importance of brain oxytocin system in social plasticity.

neuroscience↗

Unraveling the viral dark matter of the rumen microbiome with a new global virome database

Like in the human gut and other environments, viruses are probably also diverse and modulate the microbiome (both population and function) in the rumen of ruminants, but it remains largely unknown. Here we mined 975 published rumen metagenomes for viral sequences, created the first rumen virome database (RVD), and perform ecogenomic meta-analyses of these data. This identified 397,180 species-level viral operational taxonomic units (vOTUs) and allowed for a 10-fold increase in classification rate of rumen viral sequences compared with other databases. Most of the classified vOTUs belong to the order Caudovirales, but distinct from those in the human gut. Rumen viruses likely have ecosystem impacts as they were predicted to infect dominant fiber degraders and methane producers, and they carry diverse auxiliary metabolic genes and antibiotic resistance genes. Together, the RVD database and these findings provide a baseline framework for future research on how viruses may impact the rumen ecosystem.

microbiology↗

Antifungal tolerance and resistance emerge at distinct drug concentrations and rely upon different aneuploid chromosomes

Antifungal drug tolerance is a response distinct from resistance, in which cells grow slowly above the minimum inhibitory drug concentration (MIC). Here we found that the majority (69.2%) of 133 Candida albicans clinical isolates, including standard lab strain SC5314, exhibited temperature-enhanced tolerance at 37{degrees}C and 39{degrees}C, and were not tolerant at 30{degrees}C. Other isolates were either always tolerant (23.3%) or never tolerant (7.5%) at these three temperatures, suggesting that tolerance requires different physiological processes in different isolates. At supra-MIC fluconazole concentrations (8-128 g/ml), tolerant colonies emerged rapidly at a frequency of ~10-3. In liquid passages over a broader range of fluconazole concentrations (0.25-128 g/ml), tolerance emerged rapidly (within one passage) at supra-MIC concentrations. By contrast, resistance appeared at sub-MIC concentrations after 5 or more passages. Of 155 adaptors that evolved higher tolerance, all carried one of several recurrent aneuploid chromosomes, often including chromosome R, alone or in combination with other chromosomes. Furthermore, loss of these recurrent aneuploidies was associated with a loss of acquired tolerance, indicating that specific aneuploidies confer fluconazole tolerance. Thus, genetic background and physiology, and the degree of drug stress (above or below the MIC) influence the evolutionary trajectories and dynamics with which antifungal drug resistance or tolerance emerges. ImportanceAntifungal drug tolerance differs from drug resistance: tolerant cells grow slowly in drug, while resistant cells usually grow well, due to mutations in a few known genes. More than half of Candida albicans clinical isolates have higher tolerance at body temperature than they do at the lower temperatures used for most lab experiments. This implies that different isolates achieve drug tolerance via several cellular processes. When we evolved different strains at a range of high drug concentrations above inhibitory levels, tolerance emerged rapidly and at high frequency (one in 1000 cells) while resistance only appeared later at very low drug concentrations. An extra copy of all or part of chromosome R was associated with tolerance, while point mutations or different aneuploidies were seen with resistance. Thus, genetic background and physiology, temperature, and drug concentration all influence how drug tolerance or resistance evolves.

evolutionary biology↗

Comparative genomic analysis between Leonurus japonicus and Leonurus sibiricus

Leonurus japonicus Houtt. is an important medicinal plant in East Asia and is now widely recognized for its role in treating cerebral apoplexy and lowering blood lipids. Here, we report two sets of chromosome-level genome sequences for leonurine-producing Leonurus japonicus and for its closely related species leonurine-free Leonurus sibiricus, where 99.78% of 518.19 Mb of L. japonicus was assembled into ten pseudochromosomes with a contig N50 of 17.62 Mb and 99.33% of 472.29 Mb of L. sibiricus was assembled into nine pseudochromosomes with a contig N50 of 13.29 MB. The reference genomes of Leonurus will accelerate the decoding of novel bioactive molecules in medicinal plants, especially in the Lamiaceae family.

plant biology↗

Soft and stretchable organic bioelectronics for continuous intra-operative neurophysiological monitoring during microsurgery

Continuous intra-operative neurophysiological monitoring (CINM) that provides precise mapping of neural anatomy through the entire microsurgery process is essential to preserve the structural and functional integrity of the nerve. However, bulky and rigid electrodes used currently in clinics are usually unable to reliably maintain continuous and stable contacts with the vulnerable and complex nerve networks, thus often resulting in detrimental post-operative complications, such as hemiplegia and sensory disturbances. Here, we describe a biomechanically compatible, suture-free, and individually reconfigurable CINM based on soft and stretchable organic electronic materials. Due to both low impedance and modulus of our conducting polymer electrodes, we achieved for the first time continuous recording of near-field action potential with high signal-to-noise ratio and minimal invasiveness during microsurgeries. Utilizing this unprecedented CINM modality, in conjunction with localized neurostimulation, we further demonstrated our approach in enabling optimal post-operative prognosis in preclinical animal models by preserving normal neural functions after a variety of tumor resection surgeries.

bioengineering↗

Destin2: integrative and cross-modality analysis of single-cell chromatin accessibility data

We propose Destin2, a novel statistical and computational method for cross-modality dimension reduction, clustering, and trajectory reconstruction for single-cell ATAC-seq data. The framework integrates cellular-level epigenomic profiles from peak accessibility, motif deviation score, and pseudo-gene activity and learns a shared manifold using the multimodal input, followed by clustering and/or trajectory inference. We apply Destin2 to real scATAC-seq datasets with both discretized cell types and transient cell states and carry out benchmarking studies against existing methods based on unimodal analyses. Using cell-type labels transferred with high confidence from unmatched single-cell RNA sequencing data, we adopt four performance assessment metrics and demonstrate how Destin2 corroborates and improves upon existing methods. Using single-cell RNA and ATAC multiomic data, we further exemplify how Destins cross-modality integrative analyses preserve true cell-cell similarities using the matched cell pairs as ground truths. Destin2 is compiled as a freely available R package available at https://github.com/yuchaojiang/Destin2.

bioinformatics↗

Exploring the genome and protein space of viruses

Recent metagenomic studies have identified a vast number of viruses. However, the systematic assessment of the true genetic diversity of the whole virus community on our planet remains to be investigated. Here, we explored the genome and protein space of viruses by simulating the process of virus discovery in viral metagenomic studies. Among multiple functions, the power function was found to best fit the increasing trends of virus diversity and was therefore used to predict the genetic space of viruses. The estimate suggests that there are at least 8.23e+08 viral Operational Taxonomic Units (vOTUs) and 1.62e+09 viral protein clusters on Earth when assuming the saturation of the virus genetic space, taking into account the balance of costs and the identification of novel viruses. Its noteworthy that less than 3% of the viral genetic diversity has been uncovered thus far, emphasizing the vastness of the unexplored viral landscape. To saturate the genetic space, a total of 3.08e+08 samples would be required. Analysis of viral genetic diversity by ecosystem yielded estimates consistent with those mentioned above. Furthermore, the estimate of the virus genetic space remained robust when accounting for the redundancy of sampling, sampling time, sequencing platform, and parameters used for protein clustering. This study provides a guide for future sequencing efforts in virus discovery and contributes to a better understanding of viral diversity in nature.

microbiology↗

PARK15/FBXO7 is dispensable for PINK1/Parkin-dependent mitophagy in iNeuron and HeLa cell systems

The protein kinase PINK1 and ubiquitin ligase Parkin promote removal of damaged mitochondria via a feed-forward mechanism involving ubiquitin (Ub) phosphorylation (pUb), Parkin activation, and ubiquitylation of mitochondrial outer membrane proteins to support recruitment of mitophagy receptors. The ubiquitin ligase substrate receptor FBXO7/PARK15 is mutated in an early-onset parkinsonian-pyramidal syndrome. Previous studies have proposed a role for FBXO7 in promoting Parkin-dependent mitophagy. Here, we systematically examine the involvement of FBXO7 in depolarization and mtUPR-dependent mitophagy in the well-established HeLa and induced-neurons cell systems. We find that FBXO7-/- cells have no demonstrable defect in: 1) kinetics of pUb accumulation, 2) pUb puncta on mitochondria by super-resolution imaging, 3) recruitment of Parkin and autophagy machinery to damaged mitochondria, 4) mitophagic flux, and 5) mitochondrial clearance as quantified by global proteomics. Moreover, global proteomics of neurogenesis in the absence of FBXO7 reveals no obvious alterations in mitochondria or other organelles. These results argue against a general role for FBXO7 in Parkin-dependent mitophagy and point to the need for additional studies to define how FBXO7 mutations promote parkinsonian-pyramidal syndrome.

cell biology↗

Targeting the pathological network: feasibility of network-based optimization of transcranial magnetic stimulation coil placement for treatment of psychiatric disorders

It has been recognized that the efficacy of TMS-based modulation may depend on the network profile of the stimulated regions throughout the brain. However, what profile of this stimulation network optimally benefits treatment outcomes is yet to be addressed. The answer to the question is crucial for informing network-based optimization of stimulation parameters, such as coil placement, in TMS treatments. In this study, we aimed to investigate the feasibility of taking a disease-specific network as the target of stimulation network for guiding individualized coil placement in TMS treatments. We present here a novel network-based model for TMS targeting of the pathological network. First, combining E-field modeling and resting-state functional connectivity, stimulation networks were modeled from locations and orientations of the TMS coil. Second, the spatial anti-correlation between the stimulation network and the pathological network of a given disease was hypothesized to predict the treatment outcome. The proposed model was validated to predict treatment efficacy from the position and orientation of TMS coils in two depression cohorts and one auditory verbal hallucinations cohort. We further demonstrate the utility of the proposed model in guiding individualized TMS treatment for psychiatric disorders. In this proof-of-concept study, we demonstrated the feasibility of the novel network-based targeting strategy that uses the whole-brain, system-level abnormity of a specific psychiatric disease as a target. Results based on empirical data suggest that the strategy may potentially be utilized to identify individualized coil parameters for maximal therapeutic effects. HighlightsO_LIProposed a model of targeting pathological brain networks for pre-treatment TMS coil placement planning in the treatment of psychiatric disorders; C_LIO_LIValidated the network targeting model in three cohorts of patients with depression or auditory verbal hallucinations, via prediction of individual TMS treatment efficacy from the parameters of coil placement; C_LIO_LIDemonstrated the utility of the network targeting model in guiding individualized TMS coil placement. C_LI

neuroscience↗

TEINet: a deep learning framework for prediction of TCR-epitope binding specificity

The adaptive immune response to foreign antigens is initiated by T-cell receptor (TCR) recognition on the antigens. Recent experimental advances have enabled the generation of a large amount of TCR data and their cognate antigenic targets, allowing machine learning models to predict the binding specificity of TCRs. In this work, we present TEINet, a deep learning framework that utilizes transfer learning to address this prediction problem. TEINet employs two separately trained encoders to transform TCR and epitope sequences into numerical vectors, which are subsequently fed into a fully connected neural network to predict their binding specificities. A major challenge for binding specificity prediction is the lack of a unified approach to sample negative data. Here, we first assess the current negative sampling approaches comprehensively and suggest that the Unified Epitope is the most suitable one. Subsequently, we compare TEINet with three baseline methods and observe that TEINet achieves an AUROC of 0.760, which outperforms baseline methods by 6.4-26%. Furthermore, we investigate the impacts of the pretraining step and notice that excessive pretraining can adversely affect model performance. Our results and analysis show that TEINet can make an accurate prediction using only the TCR sequence (CDR3{beta}) and the epitope sequence, providing novel insights to understand the interactions between TCRs and epitopes. TEINet is available at https://github.com/jiangdada1221/TEINet.

bioinformatics↗

Structure of a G protein-coupled receptor with GRK2 and a biased ligand

Phosphorylation of G protein-coupled receptors (GPCR) by GPCR kinases (GRKs) desensitizes G protein signaling and promotes arrestin signaling, which is also modulated by biased ligands1-6. Molecular assembly of GRKs to GPCRs and the basis of GRK-mediated biased signaling remain largely unknown due to the weak GPCR-GRK interactions. Here we report the complex structure of neurotensin receptor 1 (NTSR1) bound to GRK2, Gq, and an arrestin-biased ligand, SBI-5537, at a resolution of 2.92 [A]. The high-quality density map reveals the clear arrangement of the intact GRK2 with the receptor, with the N-terminal helix of GRK2 docking into the open cytoplasmic pocket formed by the outward movement of the receptor TM6, analogous of the binding of G protein to the receptor. Strikingly, the arrestin-biased ligand is found at the interface between GRK2 and NTSR1 to enhance GRK2 binding. The binding mode of the biased ligand is compatible with arrestin binding but is clashed with the binding of a G protein, thus provide an unambiguous mechanism for its arrestin-biased signaling capability. Together, our structure provides a solid model for understanding the details of GPCR-GRK interactions and biased signaling.

cell biology↗

Targeting the BAG-1 family of co-chaperones in lethal prostate cancer.

Therapies that abrogate persistent androgen receptor (AR) signaling in castration resistant prostate cancer (CRPC) remain an unmet clinical need. The N-terminal domain (NTD) of the AR drives transcriptional activity in CRPC but is intrinsically disordered and remains a challenging therapeutic target. Therefore, inhibiting critical co-chaperones, such as BAG-1L, is an attractive alternative strategy. We performed druggability analyses demonstrating the BAG domain to be a challenging drug target. Thio-2, a tool compound, has been reported to bind the BAG domain of BAG-1L and inhibit BAG-1L-mediated AR transactivation. However, despite these data, the mechanism of action of Thio-2 is poorly understood and the BAG domain which is present in all BAG-1 isoforms has not been validated as a therapeutic target. Herein, we demonstrate growth inhibiting activity of Thio-2 in CRPC cell lines and patient derived models with decreased AR genomic binding and AR signaling independent of BAG-1 isoform function. Furthermore, genomic abrogation of BAG-1 isoforms did not recapitulate the described Thio-2 phenotype, and NMR studies suggest that Thio-2 may bind the AR NTD, uncovering a potential alternative mechanism of action, although in the context of low compound solubility. Furthermore, BAG-1 isoform knockout mice are viable and fertile, in contrast to previous studies, and when crossed with prostate cancer mouse models, BAG-1 deletion does not significantly impact prostate cancer development and growth. Overall, these data demonstrate that Thio-2 inhibits AR signaling and growth in CRPC independent of BAG-1 isoforms, and unlike previous studies of the activated AR, therapeutic targeting of the BAG domain requires further validation before being considered a therapeutic strategy for the treatment of CRPC.

molecular biology↗

Gaq-PKD/PKCμ regulates the IkB transcription to limit the NF-kB mediated inflammatory response essential for early pregnancy

Decidualization, denoting the transformation of endometrial stromal cells into specialized decidual cells, is a prerequisite for normal embryo implantation and a successful pregnancy in human. Here we demonstrated that knockout of Gaq lead to an aberrantly enhanced inflammatory state during decidualization. Furthermore, we showed that deficiency of Gaq resulted in over-activation of nuclear factor (NF)-{kappa}B signaling, due to the decreased expression of NF{kappa}BIA, which encode the I{kappa}B protein and is the negative regulator for NF{kappa}B. Mechanistically, Gaq deficiency decreased the PKD/PKC phosphorylation levels, so leading to attenuated HDAC5 phosphorylation and thus its nuclear export. Aberrantly high level of nuclear HADC5 retarded histone acetylation to inhibit NF{kappa}BIA transcription during decidualization. Consistently, pharmacological activation of the PKD/PKC or inhibition of the HDAC5 signaling restored the inflammatory state and proper decidual response. Finally, we disclosed that over-active inflammatory state in Gaq deficient decidua deferred the blastocyst hatching and adhesion in vitro, and the decidual expression of Gq was significantly lower in women with recurrent pregnancy loss compared with normal pregnancy. In brief, we showed here that Gq as a key regulator of the inflammatory cytokines expression and decidual homeostasis in response to differentiation cues, which is required for successful implantation and early pregnancy.

cell biology↗

STAMP-Based Digital CRISPR-Cas13a (STAMP-dCRISPR) for Amplification-Free Quantification of HIV-1 Plasma Viral Load

The development of new nucleic acid techniques to quantify HIV RNA in plasma is critical for identifying the disease progression and monitoring the effectiveness of antiretroviral therapy. While RT-qPCR has been the gold standard for HIV viral load quantification, digital assays could provide an alternative calibration-free absolute quantification method. Here, we report the development of a self-digitalization through automated membrane-based partitioning (STAMP) technique to digitalize the CRISPR-Cas13 assay (dCRISPR) for amplification-free and absolute quantification of HIV-1 viral RNAs. The analytical performances of STAMP-dCRISPR were evaluated with synthetic HIV-1 RNA, and it was found samples spanning 4 orders of dynamic range between 100 aM to 1 pM can be quantified as fast as 30 min. We also examined the overall assay from RNA extraction to STAMP-dCRISPR quantification with spiked plasma samples. The overall assay showed a resolution of 42 aM at a 90% confidence level. Finally, a total of 20 clinical plasma samples from patients were evaluated with STAMP-dCRISPR. The obtained results agreed well with the RT-qPCR. Our result demonstrates a new type of easy-to-use, scalable, and highly specific digital platform that would offer a simple and accessible platform for amplification-free quantification of viral RNAs, which could be exploited for the quantitative determination of viral load for an array of infectious diseases.

bioengineering↗

DNA looping mediates cooperative transcription activation

Transcription factors respond to multi-level stimuli and co-occupy promoter regions of target genes to activate RNA polymerase (RNAP) in a cooperative manner. To decipher the molecular mechanism, here we report two cryo-electron microscopy structures of Anabaena transcription activation complexes (TACs): NtcA-TAC composed of RNAP holoenzyme, promoter and a global activator NtcA, and NtcA-NtcB-TAC comprising an extra context-specific regulator NtcB. Structural analysis showed that NtcA binding makes the promoter DNA bend by [~]50{o}, which facilitates RNAP to contact NtcB at the distal upstream NtcB box. The sequential binding of NtcA and NtcB induces looping back of promoter DNA towards RNAP, enabling the assembly of a fully activated TAC bound with two activators. Together with biochemical assays, we propose a DNA looping mechanism of cooperative transcription activation in bacteria.

molecular biology↗

Molecular Recognition of Itching Neuropeptides by Bombesin Receptors.

Neuromedin B (NMB) and gastrin-releasing peptide (GRP), two bombesin analogs, are endogenous itch-specific neuropeptides that induce histaminergic and nonhistaminergic itch, respectively. Their functions are mediated by two G protein-coupled bombesin receptors, NMBR and GRPR. Here we present cryo-electron microscopy(cryo-EM) structures of G protein coupled NMBR and GRPR bound to NMB and GRP, respectively. The structures reveal that both bombesin receptors contain an extended and deep pocket to adopt NMB and GRP, with the conserved C-terminal motif of GH(F/L)M from both peptides to contact the toggle switch residues for the receptor activation. Together with mutational and functional data, our structures reveal the mechanism of ligand selectivity and specific activation of the bombesin receptors. These findings also pave the way to facilitate rational design of therapies targeting bombesin receptors for the treatment of pruritus.

biophysics↗