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Qi, J.

Publications and source records attributed to Qi, J..

At least 73 records · Page 4Linked to original sources

Phylogenomics reveals pervasive ancient introgression in the radiation of macaques

The genus Macaca, with 23 species assigned into four to seven species groups, exhibits the largest geographic range and represents the most successful adaptive radiation of nonhuman primates. Here, we conducted phylogenomic analyses of 16 newly generated and eight published macaque genomes and found a strong support for the division of this genus into seven species groups. Both ancient hybrid and incomplete lineage sorting (ILS) have contributed to the radiation and evolution of macaques. Particularly, the contradicting phylogenetic positions among silenus/nigra, fascicularis/mulatta and arctoides/sinica lineages were likely resulted from high level of ILS and potential hybridization between the ancestors of the arctoides/sinica and silenus/nigra lineages. Furthermore, an integrated scenario for macaque radiation is reconstructed by the help of the dated phylogenetic tree combined with documented history records. This study provides insights into ancient introgression involved in the radiation of macaques, which may help us to understand the rapid speciation of nonhuman primates.

evolutionary biology↗

Single-cell Sequencing Highlights Heterogeneity and Malignant Progression in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma

Cutaneous squamous cell carcinoma (cSCC) is the second most frequent of the keratinocyte-derived malignancies with actinic keratosis (AK) as a precancerous lesion. To comprehensively delineate the underlying mechanisms for the whole progression from normal skin to AK to invasive cSCC, we performed single-cell RNA-seq (scRNA-seq) to acquire the transcriptomes of 138,982 cells from 13 samples of six patients including AK, squamous cell carcinoma in situ (SCCIS), cSCC and their matched normal tissues, covering comprehensive clinical courses of cSCC. We identified diverse cell types, including important subtypes with different gene expression profiles and functions in major keratinocytes. In SCCIS, we discovered the malignant subtypes of basal cells with differential proliferative and migration potential. Differentially expressed genes (DEGs) analysis screened out multiple key driver genes including transcription factors (TFs) along AK to cSCC progression. Immunohistochemistry (IHC) / immunofluorescence (IF) experiments and single-cell ATAC sequencing (scATAC-seq) data verified the expression changes of these genes. The functional experiments confirmed the important roles of these genes in regulating cell proliferation, apoptosis, migration and invasion in cSCC tumor. Furthermore, we comprehensively described the tumor microenvironment (TME) landscape and potential keratinocyte-TME crosstalk in cSCC providing theoretical basis for immunotherapy. Together, our findings provide a valuable resource for deciphering the progression from AK to cSCC and identifying potential targets for anticancer treatment of cSCC.

cancer biology↗

KDM5A/B promotes HIV-1 latency and KDM5 inhibitors promote HIV-1 lytic reactivation

Combinational antiretroviral therapy (cART) effectively suppresses HIV-1 infection, replication, and pathogenesis in HIV-1 patients. However, the patients HIV-1 reservoir still cannot be eliminated by current cART or other therapies. One putative HIV-1 eradication strategy is "shock and kill", which reactivates HIV-1 in latently-infected cells and induces their cytopathic effect or immune clearance to decrease the patients reservoir size. KDM5A and KDM5B act as the HIV-1 latency-promoting genes, decreasing the HIV-1 viral gene transcription and reactivation in infected cells. Depletion of KDM5 A/B by siRNA knockdown (KD) increases H3K4 trimethylation (H3K4me3) in HIV-1 Tat-mediated transactivation. We also found that the KDM5-specific inhibitor JQKD82 can increase H3K4me3 at the HIV-1 LTR region during HIV-1 reactivation and induce cytopathic effects. We applied the JQKD82 in combination with the non-canonical NF-{kappa}B activator AZD5582, which synergistically induced HIV-1 reactivation and cell apoptosis in HIV-1 infected cells. These results suggested that the KDM5 inhibition can be a putative HIV-1 latency-reversing strategy for the HIV-1 "shock and kill" eradication therapy.

microbiology↗

Efficient Multi-Label Attribute Classification and Recognition of Microbiological Bacteria Based on Deep Learning and model fine-tuning

Bacterial vaginosis (BV) is the most common gynecological complaint affecting health of a large percentage of women worldwide. Traditional manual microscopy methods are expensive and time-consuming, to improve accuracy and efficiency, automated bacterial identification devices with detection intelligence algorithms are urgently needed. We propose a Fine-tuned SmallerVGG (FTS-VGG) deep convolutional network model based multi-label classification method for bacteria. Comparison experiments were deployed on several advanced backbone networks, including transfer learning on pre-trained VGG19, demonstrating that the proposed method achieves the advantages of being lighter, faster, more accurate and more efficient. Due to the high cost of time and expertise of experienced clinicians, we use random erasing for data augmentation to address the challenge of dataset collection and annotation, experiments demonstrate its robustness to occlusion. The proposed method has theoretical and practical implications, as well as the potential to be widely extended to other microscopic imaging applications.

biochemistry↗

Droplet microfluidics forward for tracing target cells at single-cell transcriptome resolution

The rapid promotion of single-cell omics in various fields has begun to help solve many problems encountered in research including precision medicine, prenatal diagnosis, and embryo development. Meanwhile, single-cell techniques are also constantly updated with increasing demand. For some specific target cells, the workflow from droplet screening to single-cell sequencing is a preferred option, which also should reduce the impact of operation steps such as demulsification and cell recovery. We developed an all-in-droplet method integrating cell encapsulation, target sorting, droplet picoinjection, and single-cell transcriptome profiling on chips to achieve a labor-saving monitor of TCR-T cells. As a proof of concept, in this research, TCR-T cells were encapsulated, sorted, and performed single-cell transcriptome sequencing (scRNA-seq) by injecting reagents into droplet. It avoided the tedious operation of droplet breakage and re-encapsulation between droplet sorting and scRNA-seq. Moreover, convenient device operation will accelerate the progress of chip marketization. The strategy achieved an excellent recovery performance of single cell transcriptome with a median gene number over 4000 and a cross-contamination rate of 8.2 {+/-} 2%. Furthermore, this strategy allows us to develop a device with high integrability to monitor infused TCR-T cells, which will promote the development of adoptive T cell immunotherapy and their clinical application.

cell biology↗

Downregulating PTBP1 fails to convert astrocytes into hippocampal neurons and to alleviate symptoms in Alzheimer's mouse models

Conversion of astroglia into functional neurons has been considered as a promising therapeutic strategy for neurodegenerative diseases. Recent studies reported that downregulation of the RNA binding protein, PTBP1, converts astrocytes into neurons in situ in multiple mouse brain regions, consequently improving pathological phenotypes associated with Parkinsons disease, RGC loss, and aging. Here, we demonstrate that PTBP1 downregulation using antisense oligonucleotides or an astrocyte specific AAV-mediated shRNA system fails to convert hippocampal astrocytes into neurons in WT, and {beta}-amyloid (5xFAD) and tau (PS19) Alzheimers disease (AD) mouse models, and fails to reverse synaptic/cognitive deficits and AD-associated pathology. Similarly, PTBP1 downregulation cannot convert astrocytes into neurons in the striatum and substantia nigra. Together, our study suggests that cell fate conversion strategy for neurodegenerative disease therapy through manipulating one single gene, such as PTBP1, warrants more rigorous scrutiny.

neuroscience↗

A hybrid unsupervised approach for accurate short read clustering and barcoded sample demultiplexing in nanopore sequencing

Short nucleic acid sequences are usually attached as DNA barcodes for multiple sample sequencing and single cell protocols, which enables Oxford Nanopore sequencing to sequence multiple barcoded DNA samples on a single flow cell. However, due to the high base-calling error, short reads in Nanopore sequencing are difficult to be accurately identified by traditional tools. Here, we propose a hybrid unsupervised approach for the accurate clustering of short reads and demultiplexing of barcoded samples in Nanopore sequencing. In our approach, both the nucleic base information translated from base-calling and the raw current signal directly outputted by the flow cell are utilized. A GPU-supported parallelization strategy is proposed to ensure the runtime of our hybrid clustering. Comprehensive experiments demonstrate that our approach outperforms all the traditional unsupervised tools in short read clustering, and achieves comparable accuracy in barcoded sample demultiplexing compared with the learning-based methods.

bioinformatics↗

Minor differences in peptide presentation between chicken MHC class I molecules can explain differences in disease susceptibility

The highly polymorphic classical major histocompatibility complexes (MHCs) can confer resistance or susceptibility to diseases. The chicken MHC is known to confer decisive resistance or susceptibility to various economically-important pathogens, including the iconic oncogenic herpesvirus that causes Mareks disease (MD). Only one classical class I gene, BF2, is expressed at a high level in chickens, so it was relatively easy to discern a hierarchy from well-expressed thermostable fastidious specialist alleles to promiscuous generalist alleles that are less stable and expressed less on the cell surface. The BF2*1901 is more highly expressed and more thermostable than the closely-related BF2*1501, but the data for peptide repertoire available did not obviously correlate as expected. Here, we confirm for newly-developed chicken lines that the chicken haplotype B15 confers resistance to MD compared to B19. Using gas phase sequencing of peptide pools, and using immunopeptidomics involving mass spectroscopy, we find that the BF2*1901 binds a greater variety of amino acids in some anchor positions than BF2*1501. However, by X-ray crystallography, we find that the peptide-binding groove of BF2*1901 is narrower and shallower. Though the self-peptides bound to BF2*1901 may appear more various than those of BF2*1501, the structures show that the wider and deeper peptide-binding groove of BF2*1501 allows it to tightly accept many more peptides overall, correlating with the expected hierarchies for expression level, thermostability and MD resistance. Moreover, the 2 helix of BF2*1901 is higher than BF2*1501, potentially reducing the number of T cell clones that can recognize this fastidious class I molecule. IMPORTANCEDisease susceptibility mechanism is complicated, but chicken infection of Mareks disease (MD) is one of ideal models, considering the only one highly expressed classical MHC class I, BF2. The different susceptibility of the two close alleles BF2*1901 and BF2*1501 with minor difference of expression and thermostability is still unfathomed. Here, we confirm B15 chicken confers resistance to MD compared to B19. But the BF2*1901 binds a broader variety of anchoring peptides than BF2*1501. This mystery was solved by the structural determination of the two molecules with one similar peptide. The wider and deeper peptide-binding groove of BF2*1501 allows it to tightly accept many more peptides overall, which is concordant to the expected hierarchies for expression level, thermostability and MD resistance.

immunology↗

Elevated HLA-E and NKG2A as a consequence of chronic immune activation defines resistance to M. bovis BCG immunotherapy in Non-Muscle-Invasive Bladder Cancer

Mycobacterium bovis Bacillus Calmette-Guerin (BCG), the first-line treatment for non-muscle invasive bladder cancer (NMIBC), promotes the production of inflammatory cytokines, particularly interferon (IFN)-{gamma}. Prolonged inflammation and IFN-{gamma} exposure are known to cause an adaptive immune response, enabling immune escape and proliferation by tumor cells. We investigated HLA-E and NKG2A, a novel T and NK cell checkpoint pathway, as a driver of adaptive resistance in BCG unresponsive NMIBC. We observed ubiquitous inflammation in all patients after BCG immunotherapy, regardless of recurrence status. IFN-{gamma} was shown to drive tumor expression of HLA-E and PD-L1. Further, NKG2A-expressing NK and CD8 T cells were enriched in BCG unresponsive tumors and with enhanced capacity for cytolytic functions. Strikingly, in situ spatial analyses revealed that HLA-EHIGH tumors are activated to recruit NK and T cells via chemokine production, potentially sparing HLA-ELOW tumors that would otherwise be susceptible to lysis. Finally, blood-derived NK cells retained anti-tumor functions at the time of tumor recurrence. These data support combined NKG2A and PD-L1 blockade for BCG unresponsive disease.

immunology↗

High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expression

MotivationThe advancement of high-throughput technology characterizes a wide range of epigenetic modifications across the genome involved in disease pathogenesis via regulating gene expression. The high-dimensionality of both epigenetic and gene expression data make it challenging to identify the important epigenetic regulators of genes. Conducting univariate test for each epigenetic-gene pair is subject to serious multiple comparison burden, and direct application of regularization methods to select epigenetic-gene pairs is computationally infeasible. Applying fast screening to reduce dimension first before regularization is more efficient and stable than applying regularization methods alone. ResultsWe propose a novel screening method based on robust partial correlation to detect epigenetic regulators of gene expression over the whole genome, a problem that includes both high-dimensional predictors and high-dimensional responses. Compared to existing screening methods, our method is conceptually innovative that it reduces the dimension of both predictor and response, and screens at both node (epigenetic features or genes) and edge (epigenetic-gene pairs) levels. We develop data-driven procedures to determine the conditional sets and the optimal screening threshold, and implement a fast iterative algorithm. Simulations and two applications to long non-coding RNA and DNA methylation regulation in Kidney cancer and Glioblastoma Multiforme illustrate the validity and advantage of our method. AvailabilityThe R package, related source codes and real data sets used in this paper are provided at https://github.com/kehongjie/rPCor.

bioinformatics↗

Factors that affected the qualification of standardized residency training of internal medicine: a prospective longitudinal study

IntroductionSince the standardized residency training (SRT) was launched in 2014, there were very few data on evaluation of the factors that could influence the residents competency in China. MethodsAll residents who started their SRT programme from September 2015 to September 2018 were enrolled in this study. During the following years, they finished the programme and took examinations. The demographic information and exam scores of each subject were collected and analyzed. ResultsWe found that the qualification rates of SRT programme differed significantly annually. Age, gender, the highest medical education degree, residents from different places, training duration and years of medical school study were also different significantly year by year. According to the scores of examinations, residents were divided into two groups: the qualified group and the non-qualified group. Age, the highest medical education degree, residents from different places, training duration, years of medical school study and prior medical work experience differed significantly between the two groups. Multivariate Logistic regression analysis showed the residents from different places and the training duration were factors that affected the qualification rate of SRT programme independently (P = 0.000 and 0.005, respectively). DiscussionThe "homogeneity" of SRT had been achieved regardless of the individual discrepancy, while the resident from different places and the training duration were obstacles we need to overcome further. Therefore, we should further advance the process of the transition from "Unit Persons" to "Society Persons". And extending training duration will facilitate their qualification and be benefit to improve their competency.

scientific communication and education↗

The mycotoxin Beauvericin exhibits immunostimulatory effects on dendritic cells via activating the TLR4 signaling pathway

Beauvericin (BEA), a mycotoxin of the enniatin family produced by various toxigenic fungi, has been attributed multiple biological activities such as anti-cancer, anti-inflammatory, and anti-microbial functions. However, effects of BEA on dendritic cells remain unknown so far. Here, we identified effects of BEA on murine granulocyte-macrophage colony-stimulating factor (GM-CSF)-cultured bone marrow derived dendritic cells (BMDCs) and the underlying molecular mechanisms. BEA potently activates BMDCs as signified by elevated IL-12 and CD86 expression. Multiplex immunoassays performed on myeloid differentiation primary response 88 (MyD88) and toll/interleukin-1 receptor (TIR) domain containing adaptor inducing interferon beta (TRIF) single or double deficient BMDCs indicate that BEA induces inflammatory cytokine and chemokine production in a MyD88/TRIF dependent manner. Furthermore, we found that BEA was not able to induce IL-12 or IFN{beta} production in Toll-like receptor 4 (Tlr4)-deficient BMDCs, whereas induction of these cytokines was not compromised in Tlr3/7/9 deficient BMDCs. This suggests that TLR4 might be the functional target of BEA on BMDCs. Consistently, in luciferase reporter assays BEA stimulation significantly promotes NF-{kappa}B activation in mTLR4/CD14/MD2 overexpressing but not control HEK-293 cells. RNA-sequencing analyses further confirmed that BEA induces transcriptional changes associated with the TLR4 signaling pathway. Together, these results identify TLR4 as a cellular BEA sensor and define BEA as a potent activator of BMDCs, implying that this compound can be exploited as a promising candidate structure for vaccine adjuvants or cancer immunotherapies.

immunology↗

Apelin signaling dependent endocardial protrusions promote cardiac trabeculation in zebrafish

During cardiac development, endocardial cells (EdCs) produce growth factors to promote myocardial morphogenesis and growth. In particular, EdCs produce Neuregulin which is required for ventricular cardiomyocytes (CMs) to seed the multicellular ridges known as trabeculae. Defects in Neuregulin signaling, or in endocardial sprouting towards CMs, cause hypotrabeculation. However, the mechanisms underlying endocardial sprouting remain largely unknown. Here, we first show by live imaging in zebrafish embryos that EdCs interact with CMs via dynamic membrane protrusions. After touching CMs, these protrusions remain in close contact with their target despite the vigorous cardiac contractions. Loss of the CM-derived peptide Apelin, or of the Apelin receptor, which is expressed in EdCs, leads to reduced endocardial sprouting and hypotrabeculation. Mechanistically, Neuregulin signaling requires endocardial protrusions to activate extracellular signal-regulated kinase (Erk) signaling in CMs and trigger their delamination. Altogether, these data show that Apelin signaling dependent endocardial protrusions modulate CM behavior during trabeculation.

developmental biology↗

Synaptic and mitochondrial plasticity associated with fear memory revealed by deep learning-based 3D reconstruction

Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction of subcellular structures from ssEM datasets is less computationally demanding but still highly informative. We thus developed a Region-CNN-based deep learning method to identify, segment, and reconstruct synapses and mitochondria to explore the structural plasticity of synapses and mitochondria in the auditory cortex of mice subjected to fear conditioning. Upon reconstructing over 135,000 mitochondria and 160,000 synapses, we found that fear conditioning significantly increases the number of mitochondria but decreases their size, and promotes the formation of multi-contact synapses comprising a single axonal bouton and multiple postsynaptic sites from different dendrites. Modeling indicates that such multi-contact configuration increases the information storage capacity of new synapses by over 50%. With high accuracy and speed in reconstruction, our method yields structural and functional insight into cellular plasticity associated with fear learning.

neuroscience↗

Multimodal Single-Cell Characterization of the Human Granulocyte Lineage

High throughput single cell transcriptomics (scRNA-seq) has been successfully applied to characterize immune cell heterogeneity across a diverse range of settings; however, analysis of human granulocytes remains a significant challenge due to their low gene expression transcript detection. Consequently, granulocytes are typically either absent or highly under-represented and inaccurately enumerated in most human scRNA-seq datasets. Here, we apply multi-modal CITE-seq profiling to characterize granulocytes in human whole blood and bone marrow, and we show that these populations can be accurately detected and analyzed using the antibody-based modality, and that their frequencies and phenotype align well with antibody-based characterization of the same samples using CyTOF. These analyses also clearly highlight extremely low gene transcript detection across the entire granulocyte lineage including the earliest neutrophil progenitor populations when using the 10X Genomics platform. By contrast, when performing parallel analyses of the same samples using the BD Rhapsody platform, we recovered a much higher proportion of granulocyte gene transcripts, enabling true multi-modal characterization of human granulocyte heterogeneity.

immunology↗

Locally secreted BiTEs complement CAR T cells by enhancing solid tumor killing

Bispecific T-cell engagers (BiTEs) are bispecific antibodies that redirect T cells to target antigen-expressing tumors. BiTEs can be secreted by T cells through genetic engineering and perform anti-tumor activity. We hypothesized that BiTE-secreting T cells could be a valuable T cell-directed therapy in solid tumors, with distinct properties in mono- or multi-valent strategies incorporating chimeric antigen receptor (CAR) T cells. Glioblastomas represent a good model for solid tumor heterogeneity and represent a significant therapeutic challenge. We detected expression of tumor-associated epidermal growth factor receptor (EGFR), EGFR variant III (EGFRvIII), and interleukin-13 receptor alpha 2 (IL13R2) on glioma tissues and glioma cancer stem cells. These antigens formed the basis of a multivalent approach, using a conformation-specific tumor-related EGFR targeting antibody (806) and Hu08, an IL13R2-targeting antibody, as the scFvs to generate new BiTE molecules. Compared with 806CAR T cells and Hu08CAR T cells, BiTE T cells demonstrated prominent activation, cytokine production, and cytotoxicity in response to target-positive gliomas. Superior response activity was also demonstrated in BiTE secreting bivalent targeting T cells compared with bivalent targeting CAR T cells, which significantly delayed tumor growth in a glioma mouse model. In summary, BiTEs secreted by mono- or multi- valent targeting T cells have potent anti-tumor activity in vitro and in vivo with significant sensitivity and specificity, demonstrating a promising strategy in solid tumor therapy.

cancer biology↗

BRD9-containing non-canonical BAF complexes safeguard cell identity and prevent reprogramming

Epigenetic reprogramming requires extensive remodeling of chromatin landscapes to silence cell-type specific gene expression programs. ATP-dependent chromatin-remodeling complexes are important regulators of chromatin structure and gene expression; however, the role of Bromodomain-containing protein 9 (BRD9) and the associated ncBAF (non-canonical BRG1-associated factors) complex in reprogramming remains unknown. Here, we show that genetic suppression of BRD9 as well as ncBAF complex subunit GLTSCR1, but not the closely related BRD7, increase the efficiency by which induced pluripotent stem cells (iPSCs) can be generated from human somatic cells. Chemical inhibition and acute degradation of BRD9 phenocopied this effect. Interestingly, we find that BRD9 is dispensable for establishment and maintenance of human pluripotency but required for mesendodermal lineage commitment during differentiation. Mechanistically, BRD9 inhibition downregulates somatic cell type-specific genes and decreases chromatin accessibility at somatic enhancers. Collectively, these results establish BRD9 as an important safeguarding factor for somatic cell identity whose inhibition lowers chromatin-based barriers to reprogramming.

developmental biology↗

The race goes on: A fall armyworm-resistant maize inbred line influences insect oral secretion elicitation activity and nullifies herbivore suppression of plant defense

O_LIFall armyworm (Spodoptera frugiperda) is an invasive lepidopteran pest with strong feeding preference towards maize (Zea mays). Its success on maize is facilitated by a suite of specialized detoxification and manipulation mechanisms that curtail host plant defense responses. C_LIO_LIIn this study, we identified a Chinese maize inbred line Xi502 that was able to mount effective defense in response to fall armyworm attack. Comparative transcriptomics analyses, phytohormonal measurements, and targeted benzoxazinoid quantification consistently demonstrate significant inducible defense responses in Xi502, but not in the susceptible reference inbred line B73. C_LIO_LIIn 24 hours, fall armyworm larvae feeding on B73 showed accelerated maturation-oriented transcriptomic responses and more changes in detoxification gene expression compared to their Xi502-fed sibling. Interestingly, oral secretions collected from larvae fed on B73 and Xi502 leaves demonstrated distinct elicitation activity when applied on either host genotypes, suggesting that variation in both insect oral secretion composition and host plant alleles could influence plant defense response. C_LIO_LIThese results revealed host plant adaptation towards counter-defense mechanisms in a specialist insect herbivore, adding yet another layer to the evolutionary arms race between maize and fall armyworm. This could facilitate future investigation into the molecular mechanisms in this globally important crop-pest interaction system. C_LI

plant biology↗