Biology subjects

Liu, Z.

Publications and source records attributed to Liu, Z..

At least 739 records · Page 41Linked to original sources

bioRxiv2022

Kinase Suppressor of RAS 1 (KSR1) maintains the transformed phenotype of BRAFV600E mutant human melanoma cells

KSR1 is a scaffolding protein for the RAS-RAF-MEK-ERK pathway, which is one of the most frequently altered pathways in human cancers. Previous results have shown that KSR1 has a critical role in mutant RAS mediated transformation. Here, we examined the role of KSR1 in mutant BRAF transformation. We used CRISPR/Cas9 to knock out KSR1 in a BRAFV600E transformed melanoma cell line. KSR1 loss produced a complex phenotype characterized by impaired proliferation, cell cycle defects, decreased transformation, decreased invasive migration, increased cellular senescence, and increased apoptosis. To decipher this phenotype, we used a combination of proteomic ERK substrate profiling, global protein expression profiling, and biochemical validation assays. The results suggest that KSR1 directs ERK to phosphorylate substrates that have a critical role in ensuring cell survival. The results further indicate that KSR1 loss induces the activation of p38 Mitogen-Activated Protein Kinase (MAPK) and subsequent cell cycle aberrations and senescence. In summary, KSR1 function plays a key role in oncogenic BRAF transformation.

cancer biology↗

bioRxiv2022

ERStruct: A Python Package for Inferring the Number of Top Principal Components from Whole Genome Sequencing Data

Large-scale multi-ethnic DNA sequencing data is increasingly available owing to decreasing cost of modern sequencing technologies. Inference of the population structure with such sequencing data is fundamentally important. However, the ultra-dimensionality and complicated linkage disequilibrium patterns across the whole genome make it challenging to infer population structure using traditional principal component analysis (PCA) based methods and software. We present the ERStruct Python Package, which enables the inference of population structure using whole-genome sequencing data. By leveraging parallel computing and GPU acceleration, our package achieves significant improvements in the speed of matrix operations for large-scale data. Additionally, our package features adaptive data splitting capabilities to facilitate computation on GPUs with limited memory. Our Python package ERStruct is an efficient and user-friendly tool for estimating the number of top informative PCs that capture population structure from whole genome sequencing data.

bioinformatics↗

bioRxiv2022

Spike-specific CXCR3+ TFH cells play a dominant functional role in supporting antibody responses in SARS-CoV-2 infection and vaccination

CD4+ T follicular helper (TFH) cells are required for high-quality antibody generation and maintenance. However, the longevity and functional role of these cells are poorly defined in COVID-19 convalescents and vaccine recipients. Here, we longitudinally investigated the dynamics and functional roles of spike-specific circulating TFH cells and their subsets in convalescents at the 2nd, 5th, 8th, 12th and 24th months after COVID-19 symptom onset and in vaccinees after two and three doses of inactivated vaccine. SARS-CoV-2 infection elicited robust spike-specific TFH cell and antibody responses, of which spike-specific CXCR3+ TFH cells but not spike-specific CXCR3- TFH cells and neutralizing antibodies were persistent for at least two years in more than 80% of convalescents who experienced symptomatic COVID-19, which was well coordinated between spike-specific TFH cell and antibody responses at the 5th month after infection. Inactivated vaccine immunization also induced spike-specific TFH cell and antibody responses; however, these responses rapidly declined after six months with a two-dose standard administration, and a third dose significantly promoted antibody maturation and potency. Functionally, spike-specific CXCR3+ TFH cells exhibited better responsiveness than spike-specific CXCR3- TFH cells upon spike protein stimulation in vitro and showed superior capacity in supporting spike-specific antibody secreting cell (ASC) differentiation and antibody production than spike-specific CXCR3- TFH cells cocultured with autologous memory B cells. In conclusion, spike-specific CXCR3+ TFH cells played a dominant functional role in antibody elicitation and maintenance in SARS-CoV-2 infection and vaccination, suggesting that induction of CXCR3-biased spike-specific TFH cell differentiation will benefit SARS-CoV-2 vaccine development aiming to induce long-term protective immune memory. HighlightsO_LISARS-CoV-2 infection elicited robust spike-specific TFH cell and antibody responses, which persisted for at least two years in the majority of symptomatic COVID-19 convalescent patients. C_LIO_LIInactivated vaccine immunization also elicited spike-specific TFH cell and antibody responses, which rapidly declined over time, and a third dose significantly promoted antibody maturation and potency. C_LIO_LISpike-specific CXCR3+ TFH cells exhibited more durable responses than spike-specific CXCR3- TFH cells, correlated with antibody responses and showed superior capacity in supporting ASC differentiation and antibody production than spike-specific CXCR3- TFH cells. C_LI

immunology↗

bioRxiv2022

Most High Throughput Expression Data Sets are Underpowered

Researchers handicap their high-throughput sequencing experiments when they do not perform enough biological replicates. Given that biological tissues can be highly variable, too few replicates will lead to false negatives, false positives, irreproducibility, and failure to detect real biological signatures. We propose that at least six biological replicates per condition becomes the standard for high-throughput expression datasets.

bioinformatics↗

bioRxiv2022

Type 17 Follicular Helper T (Tfh17) Cells are Superior for Memory Maintenance

A defining feature of successful vaccination is the ability to induce long-lived antigen- specific memory cells. Follicular helper T (Tfh) cells specialize in providing help to B cells in mounting protective humoral immunity in infection and after vaccination. Memory Tfh cells that retain the CXCR5 expression can confer protection through enhancing humoral response upon antigen re-exposure but how they are maintained is poorly understood. CXCR5+ memory Tfh cells in human blood are divided into Tfh1, Tfh2 and Tfh17 cells by the expression of chemokine receptors CXCR3 and CCR6 associated with Th1 and Th17 respectively. Here, we developed a new method to induce Tfh1, Tfh2 and Tfh17-like (iTfh1, iTfh2 and iTfh17) cells in vitro. Although all three iTfh subsets efficiently support antibody responses in recipient mice with immediate immunization, iTfh17 cells are superior to iTfh1 and iTfh2 cells in supporting antibody response to a later immunization after extended resting in vivo to mimic memory maintenance. Notably, the counterpart human Tfh17 cells are selectively enriched in CCR7+ central memory Tfh (TfhCM) with survival and proliferative advantages. Furthermore, the analysis of multiple human cohorts that received different vaccines for HBV, influenza virus, tetanus toxin or measles revealed that vaccine-specific Tfh17 cells outcompete Tfh1 or Tfh2 cells for the persistence in memory phase. Therefore, the complementary mouse and human results showing the advantage of Tfh17 cells in maintenance and memory function supports the notion that Tfh17-induced immunization might be preferable in vaccine development to confer long-term protection.

immunology↗

bioRxiv2022

Membrane Obstacles Enhance the Sensitivity andSelectivity of Surface Condensation

Biomolecular phase separation has emerged as an essential mechanism for cellular organization. How cells respond to environmental stimuli in a robust and sensitive manner to build functional condensates at the proper time and location is only starting to be understood. Recently, lipid membranes have been recognized as an important regulatory center for biomolecular condensation. However, how the interplay between the phase behaviors of cellular membranes and surface biopolymers may contribute to the regulation of surface condensation remains to be elucidated. Using simulations and a mean-field theoretical model, we show that two key factors are the membranes tendency to phase separate and the surface polymers ability to reorganize local membrane composition. Surface condensate forms with high sensitivity and selectivity in response to features of biopolymer when positive co-operativity is established between coupled growth of the condensate and local lipid domains. This effect relating the degree of membrane-surface polymer co-operativity and condensate property regulation is shown to be robust by different ways of tuning the co-operativity, such as varying membrane protein obstacle concentration, lipid composition and the affinity between lipid and polymer. The general physical principle emerged from the current analysis may have implications in other biological processes and beyond.

biophysics↗

bioRxiv2022

Multi-environmental population phenotyping suggest the higher risks of wheat Rht-B1b and Rht-D1b cultivars in global warming scenarios

After six decades practice, the semi-dwarf alleles Rht-B1b and Rht-D1b (also called Rht-1 and Rht-2) had been applied into around 70% current wheat cultivars, laid the foundation for the worldwide wheat production supply, then the agronomic traits controlled by the two alleles still keep unclear except dwarfing wheat. Here 13 agronomic traits were investigated in 400 wheat accessions with seven environments, uncovered the genetic effects of Rht-B1b and Rht-D1b on wheat structure and yield traits in different genetic backgrounds and environments, and the distinct genetic effects between Rht-B1b and Rht-D1b, suggesting that the introduction of green revolution alleles profoundly shaped the agronomy traits of modern wheat cultivars. The late-sowing assays and regression analysis based on the phenotypic and their meteorological data showed the accessions containing Rht-B1b and Rht-D1b are more sensitive to the temperature increase, and the Rht-D1b may lost additional 8% yield compared the cultivars without the green revolution alleles if the average temperature increases 1 {degrees}C. These results suggest the application of green revolution are facing more challenges to maintain the futural wheat production supply in global warming scenarios.

molecular biology↗

bioRxiv2022

R methylCIPHER: A Methylation Clock Investigational Package for Hypothesis-Driven Evaluation & Research

BackgroundEpigenetic clocks are promising tools for the study of aging in humans. The clocks quantify biological aging above and beyond chronological age, demonstrate systematic associations with risk factors that accelerate aging, and predict age-related morbidity and mortality. There is interest in using them as surrogate endpoints in intervention studies. However, the large number of clocks, decentralized publication and explosive popularity in the last decade has made for poor accessibility and standardization. This has hampered the abilities of new researchers to conduct truly hypothesis driven research--whether by not knowing about the best available clocks for a given question, or by systematically testing many or all as they become available. ResultsWe report a centralized R package which can be installed and run locally on the users machine, and provides a standardized syntax for epigenetic clock calculation. The package includes a set of helper functions to assist with navigating clock literature and selecting clocks for analysis, as well as affording the user with the details of clock calculation. We describe each clocks resilience to missing CpG information, combined with functionality to assess the need for imputation in the users own data. Furthermore, we demonstrate that while CpGs may not be shared among clocks with similar outputs, many clocks have highly correlated outputs. ConclusionsDue to the previous decentralization of epigenetic clocks, gathering code and performing systematic analysis, particularly in protected datasets, has required significant information gathering effort. Here, we offer an R package with standardized implementation and potential for future growth and clock incorporation to assist with hypothesis driven investigation of aging as measured by epigenetic clocks. We show the potential of this package to drive the user to think globally about signals captured by epigenetic clocks, as well as to properly identify the potential and limitations of each clock in their current research.

bioinformatics↗

bioRxiv2022

Genetic variation in BnGRP1 contributes to low phosphorus tolerance in Brassica napus

The lack of phosphorus (P) is a major environmental factor affecting rapeseed root growth and development. For breeding purposes, it is crucial to identify the molecular mechanisms of root system architecture (RSA) traits underlying low P tolerance in rapeseed. Using genome-wide association study (GWAS), transcriptome and re-sequencing analyses were done on 400 rapeseed cultivars, the natural variations of glycine-rich protein gene, BnGRP1, in response to low P tolerance. Based on 11 SNP mutations in the BnGRP1 sequence, ten types of haplotypes (Hap) were formed. Compared with the other types, the cultivar of the BnGRP1Hap1 type in the panel demonstrated the longest root length and heaviest root weight. Over-expression of BnGRP1Hap1 in rapeseed depicted the ability to enhance the resistance of rapeseed in its response to low P tolerance. CRISPR/Cas9-derived BnGRP1Hap1 knockout mutations in rapeseed could lead to sensitivity to low P stress. Furthermore, BnGRP1Hap1 influenced the expression of phosphate transporter 1 (PHT1) genes associated with P absorption. Overall, the findings of this study highlight the new mechanisms of GRP1 genes in enhancing the low P tolerance in rapeseed.

molecular biology↗

bioRxiv2022

Vast human gut virus diversity uncovered by combined short- and long-read sequencing

Current metagenome-assembled human phage catalogs contained mostly fragmented genomes. Here, we developed a vigorous phage detection method involving phage enrichment and long-read sequencing and applied to 135 fecal samples. With ~10 times more efficient in obtaining complete genomes (~34%) than the Gut Virome Database, we identified the first megabasephage (~1.03Mb), and revealed the hidden diversity of the gut phageome including dozens of phages more prevalent than the crAssphages and Gubaphages.

bioinformatics↗

bioRxiv2022

Human skin specific long noncoding RNA HOXC13-AS regulates epidermal differentiation by interfering with Golgi-ER retrograde transport

After a skin injury, keratinocytes switch from a state of homeostasis to one of regeneration leading to the reconstruction of the epidermal barrier. The regulatory mechanism of gene expression underpinning this key switch during human skin wound healing is enigmatic. Long noncoding RNAs (lncRNAs) constitute a new horizon in the understanding of the regulatory programmes encoded in the mammalian genome. By comparing the transcriptome of an acute human wound and skin from the same donor as well as keratinocytes isolated from these paired tissue samples, we generated a list of lncRNAs showing changed expression in keratinocytes during wound repair. Our study focused on HOXC13-AS, a recently evolved human lncRNA specifically expressed in epidermal keratinocytes, and we found that its expression was temporally downregulated during wound healing. In line with its enrichment in suprabasal keratinocytes, HOXC13-AS was found to be increasingly expressed during keratinocyte differentiation, but its expression was reduced by EGFR signalling. After HOXC13-AS knockdown or overexpression in human primary keratinocytes undergoing differentiation induced by cell suspension or calcium treatment and in organotypic epidermis, we found that keratinocyte differentiation was promoted, while the cell inflammatory response was suppressed. Moreover, RNA pull-down assays followed by mass spectrometry and RNA immunoprecipitation analysis revealed that mechanistically HOXC13-AS sequestered the coat complex subunit alpha (COPA) protein and interfered with Golgi-to-endoplasmic reticulum (ER) molecular transport, resulting in ER stress and enhanced keratinocyte differentiation. In summary, we identified HOXC13-AS as a crucial regulator of human epidermal differentiation.

molecular biology↗

bioRxiv2022

CoxMKF: A Knockoff Filter for High-Dimensional Mediation Analysis with a Survival Outcome in Epigenetic Studies

MotivationIt is of scientific interest to identify DNA methylation CpG sites that might mediate the effect of an environmental exposure on a survival outcome in high-dimensional mediation analysis. However, there is a lack of powerful statistical methods that can provide a guarantee of false discovery rate (FDR) control in finite-sample settings. ResultsIn this article, we propose a novel method called CoxMKF, which applies aggregation of multiple knockoffs to a Cox proportional hazards model for a survival outcome with high-dimensional mediators. The proposed CoxMKF can achieve FDR control even in finite-sample settings, which is particularly advantageous when the sample size is not large. Moreover, our proposed CoxMKF can overcome the randomness of the unstable model-X knockoffs. Our simulation results show that CoxMKF controls FDR well in finite samples. We further apply CoxMKF to a lung cancer data set from The Cancer Genome Atlas (TCGA) project with 754 subjects and 365 306 DNA methylation CpG sites, and identify four DNA methylation CpG sites that might mediate the effect of smoking on the overall survival among lung cancer patients. AvailabilityThe R package CoxMKF is publicly available at https://github.com/MinhaoYaooo/CoxMKF. Contactzl2509@cumc.columbia.edu.

bioinformatics↗

bioRxiv2022

Integrated single-nucleus and spatial transcriptomics captures transitional states in soybean nodule symbiosis establishment

Legumes form symbiosis with rhizobium leading to the development of nitrogen-fixing nodules. By integrating single-nucleus and spatial transcriptomics, we established a cell atlas of soybean nodules and roots. In central infected zone of nodule, we found that uninfected cells specialize into functionally distinct sub-groups during nodule development and revealed a transitional subtype of infected cells with enriched nodulation-related genes. Overall, our results provide a single-cell perspective for understanding rhizobium-legume symbiosis.

plant biology↗

bioRxiv2022

IFNA pathway drives the more aggressive phenotype of KRASG12D-mutant pancreatic ductal adenocarcinomas via IFNAR1/STAT3 activation

Activating mutations of KRAS play critical roles in the initiation and progression of pancreatic ductal adenocarcinoma (PDAC). Accumulating evidence indicates that distinct KRAS alleles associate with different prognoses, but the underlying mechanisms are not known. We established isogenic KRAS mutants (KRASG12D, KRASG12V, and KRASWT) using a KRASG12R patient-derived PDAC cell line by CRISPR/Cas9 knock-in. We used these isogenic cell lines, a collection of characterized human PDAC patient-derived cell lines, and murine PDAC models to study the role of these KRAS alleles in vitro and in vivo. We verified that the growth of KRASG12D cells is more aggressive compared to KRASG12V isogenic cells in vitro and in vivo using orthotopic mouse models. Signal transducer and activator of transcription (STAT) activation was the most significant difference between KRASG12D and KRASG12V isogenic PDACs. Furthermore, activation of interferon-alpha (IFNA)/IFNA receptor (IFNAR)1/STAT3 signaling in the cancer cells mediated the more aggressive phenotype of KRASG12D PDACs. Conversely, inhibition of IFNAR1 in patient-derived PDAC cells suppressed tumor growth. Finally, IFNAR1 blockade was also effective in murine PDAC models and induced a significant increase in survival when combined with immune checkpoint blockade therapy. We conclude that the IFNA pathway and IFNAR1/STAT3 axis contribute to a more aggressive tumor progression in human KRASG12D PDACs and that IFNAR1 inhibition is a potential therapeutic target for overcoming resistance to immunotherapy in PDAC. One Sentence SummaryIFNA pathway drives the more aggressive phenotype of KRASG12D-mutant pancreatic ductal adenocarcinomas via IFNAR1/STAT3 activation.

cancer biology↗

bioRxiv2022

Determination of expression profiles for Drosophila ovarian Follicle Stem Cells (FSCs) using single-cell RNA sequencing

Drosophila ovarian Follicle Stem Cells (FSC) present an excellent paradigm for understanding how a community of active stem cells maintained by population asymmetry is regulated. Here we describe single-cell RNA sequencing studies of a pre-sorted population of cells that include FSCs and the neighboring cell types, Escort Cells (ECs) and Follicle Cells (FCs), which they support. Cell-type assignment relies on anterior-posterior (AP) location within the germarium. We clarify the previously determined location of FSCs and use spatially targeted lineage studies as further confirmation. The scRNA profiles among four clusters are consistent with an AP progression from anterior ECs through posterior ECs and then FSCs, to early FCs. Several genes with graded profiles from ECs to FCs are highlighted as candidate effectors of the inverse gradients of the two principal signaling pathways, Wnt and JAK-STAT, that guide FSC differentiation and division.

developmental biology↗

bioRxiv2022

Inflammasome targeting with an NLRP3 agonist therapy is feasible but ineffective in murine hepatocellular carcinoma models with liver damage

Co-inhibition of programmed cell death receptor-1 (PD-1) and vascular endothelial growth factor receptor (VEGFR) pathway has shown efficacy in hepatocellular carcinoma (HCC). NLRP3 is a component of the inflammasome involved in the initiation, development, and progression of multiple cancers. We examined whether adding an NLRP3 agonist to dual PD-1/VEGFR inhibitors is feasible and can address treatment resistance in orthotopic HCC in mice with underlying liver damage. Mice with established tumors were treated with an NLRP3 agonist alone, combination of anti-VEGFR2 or the multikinase inhibitor regorafenib with anti-PD1 antibodies, or their combination. In all models tested, NLRP3 agonist therapy showed acceptable toxicity but no effect on tumor growth delay, disease morbidity, or survival. Pharmacodynamic analyses confirmed the effects of NLRP3 agonist therapy on inflammasome, evidenced by a significant elevation in plasma levels of pro-inflammatory cytokines such as IL-1{beta}. However, these changes were not detectable in tumor tissues, where we detected increased expression of immunosuppressive markers IL-6, KC/GRO, CCL9, and IL-18, and immune checkpoint molecules (PD1, PD-L1, and CTLA-4) after NLRP3 agonist therapy. Thus, modulation of the inflammasome with a novel NLRP3 agonist was feasible in mice with orthotopic HCC and liver damage but did not enhance efficacy when combined with anti-PD1/VEGFR therapies.

immunology↗

bioRxiv2022

Simultaneous multifunctional transcriptome engineering by CRISPR RNA scaffold

RNA processing and metabolism are subjected to precise regulation in the cell to ensure integrity and functions of RNA. Though targeted RNA engineering has become feasible with the discovery and engineering of the CRISPR-Cas13 system, simultaneous modulation of different RNA processing steps remains unavailable. In addition, off-target events resulting from effectors fused with dCas13 limit its application. Here we developed a novel platform, Combinatorial RNA Engineering via Scaffold Tagged gRNA (CREST), which can simultaneously execute multiple RNA modulation functions on different RNA targets. In CREST, RNA scaffolds are appended to the 3 end of Cas13 gRNA and their cognate RNA binding proteins are fused with enzymatic domains for manipulation. We show that CREST is capable of simultaneously manipulating RNA alternative splicing and A-to-G or C-to-U base editing. Furthermore, by fusing two split fragments of the deaminase domain of ADAR2 to dCas13 and PUFc respectively, we reconstituted its enzyme activity at target sites. This split design can reduce more than 90% of off-target events otherwise induced by a full-length effector. The flexibility of the CREST framework will enrich the transcriptome engineering toolbox for the study of RNA biology and the development of RNA-focused therapeutics.

bioengineering↗

bioRxiv2022

CSF1R-dependent macrophages in the salivary gland are essential for epithelial regeneration following radiation-induced injury

The salivary glands often become damaged in individuals receiving radiotherapy for head and neck cancer, resulting in xerostomia, or chronic dry mouth. This leads to detrimental effects on their health and quality of life, for which there is no regenerative therapy. Macrophages are the predominant cell type in the salivary glands and are attractive therapeutic targets due to their unrivalled capacity to drive tissue repair and regeneration. Yet, the nature and role of macrophages in salivary gland homeostasis and whether or not they contribute to tissue repair/regeneration following injury is not well understood. Here, we have used single cell RNA-seq, multi-parameter flow cytometry and fluorescence microscopy to map the heterogeneity of the salivary gland macrophage compartment throughout development and following radiation-induced injury. We show that there are highly dynamic changes in the composition of the salivary gland macrophage compartment with age, in part due to changes in the ontogeny of these cells, determined using a suite of complementary fate mapping systems. A combination of mutant mice and antibody blockade demonstrates that salivary gland macrophages are dependent on CSF1, but not IL-34 or GM-CSF, for their development and maintenance. Finally, using an in vivo model of radiation-induced salivary gland injury combined with a novel Mafb-specific depletion system, we demonstrate an essential role for macrophages. Without macrophages the clearance of cells with DNA damage, and effective tissue repair following such injury, is severely comprised. Our data, therefore, indicate a strong case for exploring the therapeutic potential of manipulating macrophages in order to promote tissue repair and thus minimise salivary gland dysfunction after radiotherapy.

immunology↗