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Biology subjects

Hu, L.

Publications and source records attributed to Hu, L..

At least 127 records · Page 7Linked to original sources

Beyond BRCA: Discovery of novel causes and consequences of homologous recombination deficiencies

Since the discovery of BRCA1 and BRCA2 mutations as cancer risk factors, we have gained substantial insight into their role in maintaining genomic stability through homologous recombination (HR) DNA repair. However, upon pan-cancer analysis of tumors from The Cancer Genome Atlas (TCGA), we found that mutations in BRCA1/2 and other classical HR genes only identified 10-20% of tumors that display genomic evidence of HR deficiency (HRD), suggesting that the cause of the vast majority of HR defects in tumors is unknown. As HRD both predisposes individuals to cancer development and leads to therapeutic vulnerabilities, it is critical to define the spectrum of genetic events that drive HRD. Here, we employed a network-based approach leveraging the abundance of molecular characterization data from TCGA to identify novel drivers of HRD. We discovered that over half of putative genes driving HRD originated outside of canonical DNA damage response genes, with a particular enrichment for RNA binding protein (RBP)-encoding genes. These novel drivers of HRD were cross-validated using an independent ICGC cohort, and were enriched in GWAS loci associated with cancer risk. Experimental approaches validated over 90% of our predictions in a panel of 50 genes tested by siRNA and 31 additional engineered mutations identified from TCGA patient tumors. Moreover, genetic suppression of identified RBPs or pharmacological inhibition of RBPs induced PARP inhibition. Further mechanistic studies indicate that some RBPs are recruited to sites of DNA damage to facilitate repair, whereas others control the expression of canonical HR genes. Overall, this study greatly expands the repertoire of known drivers of HRD and their contributions to DNA damage repair, which has implications for not only future mechanistic studies, but also for genetic screening and therapy stratification. HIGHLIGHTSO_LIThe majority of HR deficiencies detected cannot be directly attributed to aberrations in canonical HR genes. C_LIO_LIIntegrated network analysis identifies RNA binding proteins (RBPs) as a novel driver of HR deficiency in patient tumors. C_LIO_LIRBP dysfunction can produce HR deficiencies through both dysregulation of canonical HR genes and action at sites of DNA damage. C_LI

systems biology↗

Irx1 and Irx2 play dose-dependent cooperative functions in mammalian development

Irx1 and Irx2 (Irx1/2) are two closely linked and widely expressed members of the conserved Iroquois homeobox family of transcription factors. Despite mounting evidence suggesting the importance of homologs of these genes in many aspects of vertebrate development and function, the role of Irx1/2 in mammals has remained largely unknown. Here, we used mice carrying our newly generated Irx1flox and Irx1floxIrx2del mutant alleles to perform a stepwise genetic ablation of Irx1 and Irx2 levels. Our analysis revealed reduced postnatal growth and viability of Irx1KO mice with gross histological defects in the lung and gut and demonstrated that ablation of one copy of Irx2 in these mice results in neonatal lethality with exacerbated phenotypic defects. Conversely, while Irx2KO mice appear normal, ablation of one copy of Irx1 in these mutants leads to lethality at weaning. Furthermore, we found that homozygous deletion of both Irx1 and Irx2 results in embryonic lethality by mid-gestation with defective extraembryonic vasculature. Our results illustrate that Irx1 and Irx2 play distinct dose-dependent cooperative functions during both the early and late stages of mouse development.

developmental biology↗

Identify the origin and end cells and infer the trajectory of cellular fate automatically

Cellular state identification and trajectory inference enable reconstructions of cell fate dynamics from single-cell RNA sequencing. However, the identification of cell fate trajectories requires a large number of computational resources or known biological process, and lack a method to alleviate both of these deficiencies at the same time. Here, we present scLTNN, a method that automatically infers origin and end cell state from scRNA-seq data and calculates the developmental trajectory and differentiation direction of cells with only a few computational resources and time consummation. We apply scLTNN to disentangling subpopulation kinetics in CD8+ T cell, pancreatic endocrinogenesis, and the development of zebrafish embryos. scLTNN displays a strong trajectory inference ability cross-species. scLTNN features a modular design that can be flexibly extended to any scRNA-seq analysis task. The complete package is available online at https://github.com/Starlitnightly/scltnn.

bioinformatics↗

Single cell transcriptomics reveals correct developmental dynamics and high-quality midbrain cell types by improved hESC differentiation.

Stem cell technologies provide new opportunities for modeling cells in the healthy and diseased states and for regenerative medicine. In both cases developmental knowledge as well as the quality and molecular properties of the cells are essential for their future application. In this study we identify developmental factors important for the differentiation of human embryonic stem cells (hESCs) into midbrain dopaminergic (mDA) neurons. We found that Laminin-511, and dual canonical and non-canonical WNT activation followed by GSK3{beta} inhibition plus FGF8b, improved midbrain patterning. In addition, mDA neurogenesis and differentiation was enhanced by activation of liver X receptors and inhibition of fibroblast growth factor signaling. Moreover, single-cell RNA-sequencing analysis revealed a developmental dynamics similar to that of the endogenous human ventral midbrain and the emergence of high quality molecularly-defined midbrain cell types, including mDA neurons that become functional. Thus, our study identifies novel factors important for human midbrain development and opens the door for a future application of molecularly-defined hESC-derived midbrain cell types in Parkinsons disease.

neuroscience↗

Decoding spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin

The human spinal cord contains diverse cell types, governed by a series of spatiotemporal events for tissue assembly and functions. However, the spatiotemporal regulation of cell fate specification in the human developing spinal cord remains largely unknown. Single-cell RNA sequencing and spatial transcriptomics techniques have advanced the understanding of human organ development considerably. By performing integrated analysis of single-cell and spatial multi-omics methods, we created a comprehensive developmental cell atlas of the first trimester human spinal cord. Our data revealed that the cell fate commitment of neural progenitor cells and their spatial positioning are spatiotemporally regulated by specific gene sets. Beyond this resource, we unexpectedly discovered unique events in human spinal cord development compared to rodents, including earlier quiescence of active neural stem cells, different regulation of stem cell differentiation, and distinct spatiotemporal genetic regulations of cell fate choices. In addition, using our atlas we identified specific gene expression in cancer stem cells in ependymomas. Thus, we demonstrate spatiotemporal genetic regulation of human spinal cord development as well as its potential to understand novel disease mechanisms and to inspire new therapies.

developmental biology↗

A geometric deep learning framework for drug repositioning over heterogeneous information networks

The effectiveness of computational drug repositioning techniques has been further improved due to the development of artificial intelligence technology. However, most of the existing approaches fall short of taking into account the non-Euclidean nature of biomedical data. To overcome this problem, we propose a geometric deep learning (GDL) framework, namely DDAGDL, to predict drug-disease associations (DDAs) on heterogeneous information networks (HINs). DDAGDL can take advantage of complicated biological information to learn the feature representations of drugs and diseases by ingeniously projecting drugs and diseases including geometric prior knowledge of network structure in a non-Euclidean domain onto a latent feature space. Experimental results show that DDAGDL is able to identify high-quality candidates for Alzheimers disease (AD) and Breast neoplasms (BN) that have already been reported by previously published studies, and some of them are not even identified by comparing models.

bioinformatics↗

An improved graph representation learning method for drug-target interaction prediction over heterogeneous biological information graph

The prediction task of the relationships between drugs and targets plays a significant role in the process of new drug discovery. Computational-based strategies for predicting drug-target interactions (DTIs) are regarded as a high-efficiency way. Moreover, recent studies adopted a graph neural network (GNN) to discover underlying DTIs and achieved better performance. Although these inductive methods can straightway learn biomolecules latent representations, they have an over-smoothing phenomenon in the course of obtaining the rich neighborhood information of each node in the biological information network, which further leads to a consistent feature representation of each node. To address the above issues, a novel model, called iGRLDTI, is proposed to precisely identify new DTIs based on an improved graph representation learning strategy. Specifically, iGRLDTI first constructs a biological information graph (BIG) by calculating the biological knowledge of drugs and targets with the relationships between them. Then, an improved graph representation learning strategy is designed to capture the enriched feature representations of drugs and targets. Finally, the Gradient Boosting Decision Tree classifier is applied to predict potential DTIs. Experimental results demonstrate that iGRLDTI yields better performance by comparing it with other state-of-the-art models on the benchmark dataset. Besides, our case studies denote that iGRLDTI can successfully identify unknown DTIs according to the improved feature representations of drugs and targets.

bioinformatics↗

A common mechanism of temperature-sensing in thermoTRP channels

Detecting temperature is crucial for the survival of living organisms. Though the thermo transient receptor potential (thermoTRP) channels, such as TRPV1 or TRPM8, have been identified as prototypic heat or cold sensors, respectively, how they detect temperature remains elusive. Here we first identified groups of clustered residues in these channels that undergo burial/exposure conformational rearrangements during temperature activation by analyzing available protein structures or hydroxyl radical footprinting-mass spectroscopy (HRF-MS). By systematically perturbing water-protein interactions at these residues, we found that the temperature sensitivity in these channels were modulated in accordance with the sidechain hydrophobicity. The changes in energy associated with changes in water-protein interactions were sufficient for thermo activation. Therefore, our study has established that the water-protein interactions as a common mechanism underlying temperature sensing in TRPM8 and TRPV1.

biophysics↗

Discovery of a new class of reversible TEA-domain transcription factor inhibitors with a novel binding mode

The TEA domain (TEAD) transcription factor forms a transcription co-activation complex with the key downstream effector of the Hippo pathway, YAP/TAZ. TEAD-YAP controls the expression of Hippo-responsive genes involved in cell proliferation, development, and tumorigenesis. Hyperactivation of TEAD-YAP activities is observed in many human cancers, and is associated with cancer cell proliferation, survival and immune evasion. Therefore, targeting the TEAD-YAP complex has emerged as an attractive therapeutic approach. We previously reported that the mammalian TEAD transcription factors (TEAD1-4) possess auto-palmitoylation activities and contain an evolutionarily conserved palmitate-binding pocket (PBP), which allows small molecule modulation. Since then, several reversible and irreversible inhibitors have been reported by binding to PBP. Here, we report a new class of TEAD inhibitors with a novel binding mode. Representative analog TM2 shows potent inhibition of TEAD auto-palmitoylation both in vitro and in cells. Surprisingly, the co-crystal structure of the human TEAD2 YAP-binding domain (YBD) in complex with TM2 reveals that TM2 adopts an unexpected binding mode by occupying not only the hydrophobic PBP, but also a new side binding pocket formed by hydrophilic residues. RNA-seq analysis shows that TM2 potently and specifically suppresses TEAD-YAP transcriptional activities. Consistently, TM2 exhibits strong anti-proliferation effects as a single agent or in combination with a MEK inhibitor in YAP-dependent cancer cells. These findings establish TM2 as a promising small molecule inhibitor against TEAD-YAP activities and provide new insights for designing novel TEAD inhibitors with enhanced selectivity and potency.

biochemistry↗

3'UTR-dependent dynamic changes in TP53 mRNA localization regulate p53 tumor suppressor activity

The tumor suppressor p53 triggers senescence in response to oncogenic stress in primary cells. However, the mechanisms by which tumor cells retaining p53 bypass senescence are not fully understood. Here we report that p53 cytostatic activity is inhibited in tumor cells by the 3 untranslated region (3UTR) of its mRNA, without altering p53 levels. 3UTR inhibition requires a long U-rich element (URE) and its binding protein, HuR. The 3UTR excluded TP53 mRNAs from a perinuclear compartment containing the CK2 kinase, suppressing p53 phosphorylation on an activating CK2 site, Ser392. In primary cells undergoing oncogene-induced senescence and tumor cells treated with genotoxic agents, TP53 mRNAs became concentrated in the perinuclear cytoplasm, coinciding with p53 phosphorylation and activation by CK2. In both cases, perinuclear re-localization of TP53 transcripts required AMPK2-dependent HuR nuclear translocation. ATM kinase activity was essential for DNA damage-induced spatial reprogramming of TP53 mRNAs, likely through phosphorylation and inactivation of MDM2. MDM2 was required for peripheral localization of TP53 transcripts and negatively regulated levels of the AMPK2 activating kinase, CaMKK{beta}. Our findings reveal a critical role for 3UTR sequences in suppressing p53 protein activity and provide a new mechanistic framework for p53 activation by DNA damaging agents.

cancer biology↗

3'UTR-directed, kinase proximal mRNA decay inhibits C/EBPβ phosphorylation/activation to suppress senescence in tumor cells

C/EBP{beta} is a potent regulator of oncogene-induced senescence (OIS) and the SASP. C/EBP{beta} is post-translationally activated in OIS cells by the effector kinases ERK1/2 and CK2. However, in tumor cells C/EBP{beta} activation is suppressed by its 3UTR. 3'UTR regulation of protein activity (UPA) requires a G/U-rich element (GRE) and its cognate binding protein, HuR. These components segregate CEBPB transcripts away from a perinuclear compartment harboring ERK1/2 and CK2, restricting C/EBP{beta} from its activating kinases. We report here that the mRNA decay proteins UPF1 and Staufen1/2 are essential UPA factors enriched within the perinuclear cytoplasm. STAU1/2 and UPF1 overlap with CK2 on perinuclear signaling endosomes where they promote localized CEBPB mRNA decay. UPF1 or STAU1/2 depletion in tumor cells increased CEBPB transcripts adjacent to CK2 foci, coinciding with C/EBP{beta} activation and senescence. The GRE and an adjacent STAU binding site independently suppress C/EBP{beta}-mediated senescence, while a distinct 3UTR region inhibits its SASP-inducing activity. KrasG12D-driven lung tumors in mice carrying a Cebpb GRE deletion rarely progressed to malignant adenocarcinomas, demonstrating the importance of UPA to enable tumor progression in vivo. Thus, kinase-proximal mRNA decay is a novel mechanism that inhibits C/EBP{beta} activation in tumor cells to facilitate senescence bypass.

cancer biology↗

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↗

Heterotrimeric G protein α subunit (GPA1) regulates the response to low-nitrogen stress in Arabidopsis by interacting with AtNRT1.4 and AtATG8a

Efficient nitrogen absorption and utilization are important factors for higher plants to increase yield and reduce eutrophication (caused by excessive use of nitrogen fertilizers). Heterotrimeric G proteins, including three subunits of , {beta}, and {gamma}, participate in the pathway regulating nitrogen absorption and utilization in plants. However, the regulatory mechanism remains largely obscured. In this study, our results revealed that the G protein subunit (AtGPA1) mutant gpa1-4 was tolerant to low-nitrogen stress in Arabidopsis. AtGPA1 was shown to directly interact with a nitrate transporter (AtNRT1.4) and a key autophagy-related protein (AtATG8a) on the plasma membrane using the yeast hybrid system and pull-down assay (in vitro) and BiFC assay (in vivo). GUS staining and subcellular localization showed that AtGPA1 and AtNRT1.4 were co-expressed in roots and leaf veins and on the plasma membrane. Under low-nitrate conditions, the single mutant gpa1-4 and NRT1.4RNAi plants (AtNRT1.4RNA interference plants) and the double mutant NRT1.4RNAi/gpa1-4 plants (AtNRT1.4RNA interference plants on a gpa1-4 background) were healthier than the wild type plants. Moreover, the phenotype of the double mutant NRT1.4RNAi/gpa1-4 plants was closer to that of the NRT1.4RNAi plants compared to that of the gpa1-4 mutants. The results of the nitrate efflux rate assay in roots were consistent with the phenotypic changes under low-nitrogen conditions. These results indicated that AtGPA1 is an upstream factor that regulated the response to low-nitrogen stress through interaction with AtNRT1.4. In addition, we found that transgenic plants overexpressing AtATG8a were more tolerant to low-nitrogen stress, and their phenotype was similar to that of gpa1-4 mutants and double mutant ATG8aOX/gpa1-4 plants (AtATG8a overexpressing plants on a gpa1-4 mutant background). Further, autophagosome observations were consistent with the phenotypes in mutant plants, indicating that AtGPA1 regulated the response to low-nitrogen stress in Arabidopsis plants by affecting the autophagosome assembly. Our findings may provide a new model for improving nitrogen-use efficiency through genetical modification to boost crop yields. One sentence summaryAtGPA1 negative regulates low nitrogen stress response by interaction with a nitrate transporter, AtNRT1.4 and an autophagy-related protein, AtATG8a in Arabidopsis.

physiology↗

Impact of various vaccine boosters on neutralization against Omicron following prime vaccinations with inactivated or adenovirus-vectored vaccine

Since the first report on November 24, 2021, the Omicron SARS-CoV-2 variant is now overwhelmingly spreading across the world. Two SARS-CoV-2 inactivated vaccines (IAVs), one recombinant protein subunit vaccine (PRV), and one adenovirus-vectored vaccine (AdV) have been widely administrated in many countries including China to pursue herd immunity. Here we investigated cross-neutralizing activities in 341 human serum specimens elicited by full-course vaccinations with IAV, PRV and AdV, and by various vaccine boosters following prime IAV and AdV vaccinations. We found that all types of vaccines induced significantly lower neutralizing antibody titers against the Omicron variant than against the prototype strain. For prime vaccinations with IAV and AdV, heterologous boosters with AdV and PRV, respectively, elevated serum Omicron-neutralizing activities to the highest degrees. In a mouse model, we further demonstrated that among a series of variant-derived RBD-encoding mRNA vaccine boosters, it is only the Omicron booster that significantly enhanced Omicron neutralizing antibody titers compared with the prototype booster following a prime immunization with a prototype S-encoding mRNA vaccine candidate. In summary, our systematical investigations of various vaccine boosters inform potential booster administrations in the future to combat the Omicron variant.

immunology↗

The bladder microbiome, metabolome, cytokines, and phenotypes in patients with systemic lupus erythematosus

Background and aimsEmerging studies reveal a unique bacterial community in the human bladder, with alteration of composition associated to disease states. Systemic lupus erythematosus (SLE) is a complex autoimmune disease that is characterized by frequent impairment of the kidney. Here, we explored the bladder microbiome, metabolome, and cytokine profiles in SLE patients, as well as correlations between microbiome and metabolome, cytokines, and disease profiles. Methods and materialsWe recruited a cohort of 50 SLE patients and 50 individually matched asymptomatic controls. We used transurethral catheterization to collect urine samples, 16S rRNA gene sequencing to profile bladder microbiomes, and LC-MS/MS to perform untargeted metabolomic profiling. ResultsCompared to controls, SLE patients possessed a unique bladder microbial community and increased alpha diversity. These differences were accompanied by differences in urinary metabolomes, cytokines, and patients disease profiles. The SLE-enriched genera, including Bacteroides, were positively correlated with several SLE-enriched metabolites, including olopatadine. The SLE-depleted genera, such as Pseudomonas, were negatively correlated to SLE-depleted cytokines, including IL-8. Alteration of the bladder microbiome was associated with disease profile. For example, the genera Megamonas and Phocaeicola were negatively correlated with serum complement C3, and Streptococcus was positively correlated with IgG. ConclusionsOur present study reveals associations between the bladder microbiome and the urinary metabolome, cytokines, and disease phenotypes. Our results could help identify biomarkers for SLE.

microbiology↗

Developmental origins of cell heterogeneity in the human lung

The lung contains numerous specialized cell-types with distinct roles in tissue function and integrity. To clarify the origins and mechanisms generating cell heterogeneity, we created a first comprehensive topographic atlas of early human lung development. We report 83 cell states, several spatially-resolved developmental trajectories and predict cell interactions within defined tissue niches. We integrated scRNA-Seq and spatial transcriptomics into a web-based, open platform for interactive exploration. To illustrate the utility of our approach we show distinct states of secretory and neuroendocrine cells, largely overlapping with the programs activated either during lung fibrosis or small cell lung cancer progression. We define the origin of uncharacterized airway fibroblasts associated with airway smooth muscle in bronchovascular bundles, and describe a trajectory of Schwann cell progenitors to intrinsic parasympathetic neurons controlling bronchoconstriction. Our atlas provides a rich resource for further research and a reference for defining deviations from homeostatic and repair mechanisms leading to pulmonary diseases.

developmental biology↗

A novel high-throughput assay using mixed genomic DNA for fast screening germline pathogenic variants in breast cancer susceptibility genes

The demand for genetic testing for breast cancer susceptibility genes is increasing for both breast cancer patients and healthy individuals. Here we established a novel high-throughput assay to detect germline pathogenic variants in breast cancer susceptibility genes. In general, up 10 to 50 individual genomic DNA samples were mixed together to create a mixed DNA sample and the mixed DNA sample was subjected to a next-generation multigene panel. Germline pathogenic variants in breast cancer susceptibility genes could be found in the mixed DNA sample; next, site-specific Sanger sequencing was performed to identify individuals who carried he pathogenic variant in the mixed samples. We found that the recall and precision rates were 89.9% and 92.9% when twenty individual genomic samples were mixed. Therefore, our new assay can increase an approximately 20-fold of efficacy to identify the pathogenic variants in breast cancer susceptibility genes in individuals when compared with current assay.

genetics↗

PCBP1 Deficient Pigs Hold the Potential to Inhibit CSFV Infection

Classical swine fever virus (CSFV), pathogen of classic swine fever, has caused severe economic losses worldwide. Poly (rC)-binding protein 1 (PCBP1), interacting with Npro of CSFV, plays a vital role in CSFV growth. Here, our research is the first report to generate PCBP1 knockout pigs via gene editing technology. The PCBP1 knockout pigs exhibited normal birth weight, reproductive-performance traits, and developed normally. Viral challenge results indicated that primary cells isolated from F0 and F1 generation pigs could significantly reduce CSFV infection. Additional mechanism exploration further confirmed that PCBP1 KO mediated antiviral effect is related with the activation of type I interferon. Beyond showing that gene editing strategy can be used to generate PCBP1 KO pigs, our study introduces a valuable animal model for further investigating infection mechanisms of CSFV that help to develop better antiviral solution. ImportanceAs a negative regulator in immune modulation, the effects of PCBP1 on viral replication have been found to be valuable. Here, this study was the first report to generate PCBP1 knockout pigs with normal pregnancy rate and viability. Primary cells isolated from F0 and F1 generation PCBP1 knockout pigs could significantly reduce CSFV infection. The PCBP1 knockout pigs could be used as a natural host models for investigating the effects of PCBP1-mediating critical interactions on viral replication and helping to develop better antiviral solution.

molecular biology↗