Biology subjects

Liu, F.

Publications and source records attributed to Liu, F..

At least 253 records · Page 14Linked to original sources

bioRxiv2022

The Zpr-3 antibody recognizes the 320-354 region of Rho and labels both rods and green cones in zebrafish

Retinal markers with high quality and specificity are important for the observation of pathologic changes of retinal cells during retinal development, degeneration, and regeneration. Zpr-3 is a mouse monoclonal antibody with uncharacterized antigen usually used to label rod photoreceptors. In this study, we provided evidence to demonstrate that the antigen gene of zpr-3 is rho, which encodes the rod opsin, and the exact epitope of zpr-3 is the 320-354 region of Rho protein. More importantly, our immunofluorescence assays indicated that zpr-3 labels both the outer segments of rods and green-cones on zebrafish retinal sections, probably due to the cross-reaction with the green-cone opsin. Our work is valuable for the scientific community to interpret the experimental data involving the zpr-3 antibody.

developmental biology↗

bioRxiv2022

Construction of a High-Density Genetic Map Based on Large-Scale Marker Development in Coix lacryma-jobi L . Using Specifific-Locus Amplifified Fragment Sequencing (SLAF-seq)

Coix lacryma-jobi L. is one of the most important economical and medicine corn. In this study, a high genetic linkage map has been constructed for Coix lacryma-jobi L. from a cross F2 community of "Qianyi NO.2" x "Wenyi NO.2" and their parents through high-throughput sequencing and specfic-locus amplified fragment (SLAF) library construction. After pre-processing, 325.49 Gb of raw data containing 1,628 M reads were obtained. A total of 22,944 high-quality SLAFs were detected, among which 3,952 SLAFs and 3,646 of the polymorphic markers could meet the requirements for construction of a genetic linkage map. The integrated map contains 3,605 high quality SLAFs, which are grouped to 10 genetic linkage groups. The total length of the linkage map is 1,620.39 cM with an average distance of 0.45 cM and 360.5 markers in average of per linkage group. This work will provide an important molecular biology basis for investigating their characteristics, gene cloning, molecular marker-assisted breeding, functional genomics and so on for Jobs tears.

genetics↗

bioRxiv2022

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↗

bioRxiv2022

Integrated cyto-physiological and proteomic analyses reveal new insight into CMS mechanism in a novel upland cotton CMS line LD6A

Cytoplasmic male sterile (CMS) system has extensively been exploited for hybrid vigor in plant breeding programs. However, its application in many crops is limited due to poor understanding of molecular mechanism of fertility restoration. Using advanced analytical approaches, we elucidated molecular pathways regulating CMS induction and fertility restoration in cotton. Reproductive structures of a novel CMS (LD6A) and its maintainer (LD6B) line were analyzed for physiological and proteomic changes during the development process. Significant differential expression of proteins, such as Abrin, malate dehydrogenase, malic enzyme, isocitrate dehydrogenase, histone acetyltransferase was observed in CMS and its maintainer line. Transmission electron micrographs of anther tapetum showed that inner ridge of CMS mitochondria was relatively indistinct than that of LD6B with narrower membranous space at tetrad stage. Further, relatively higher reactive oxygen species were accumulated in the anther of CMS than its maintainer line at pollen mother cell and tetrad stage. We suggest that abnormal sequence of mitochondrial ribosome gene rps4 and rpl10 and high expression of ribosome-inactivating protein gene Abrin in CMS line damaged mitochondrial membrane and consequently induced pollen sterility. These data provide new insight into CMS mechanism in cotton crops and a tool to develop new CMS germplasm resources.

developmental biology↗

bioRxiv2021

GiPS: Genomics-informed parent selection uncovers the breeding value of wheat genetic resources

The great efforts spent in the maintenance of past diversity in genebanks are rationalized by the potential role of plant genetic resources in future crop improvement - a concept whose practical implementation has fallen short of expectations. Here, we implement genomics-informed parent selection to expedite pre-breeding without discriminating against non-adapted germplasm. We collect dense genetic profiles for a large winter wheat collection and evaluate grain yield and resistance to yellow rust in representative coresets. Genomic prediction within and across genebanks identified the best parents for PGR x elite derived crosses that outyielded current elite cultivars in multiple field trials.

genomics↗

bioRxiv2021

ADAPs intrinsically disordered region is an actin sponge regulating T cell motility

Intrinsically disordered proteins (IDPs) play a vital role in biological processes that rely on transient molecular compartmentation1. In T cells, the dynamic switching between migration and adhesion mandates a high degree of plasticity in the interplay of adhesion and signaling molecules with the actin cytoskeleton2,3. Here, we show that the N-terminal intrinsically disordered region (IDR) of adhesion- and degranulation-promoting adapter protein (ADAP) acts as a multipronged scaffold for G- and F-actin, thereby promoting actin polymerization and bundling. Positively charged motifs, along a sequence of at least 200 amino acids, interact with both longitudinal sides of G-actin in a promiscuous manner. These polymorphic interactions with ADAP become constrained to one side once F-actin is formed. Actin polymerization by ADAP acts in synergy with a capping protein but competes with cofilin. In T cells, ablation of ADAP impairs adhesion and migration with a time-dependent reduction of the F-actin content in response to chemokine or T cell receptor (TCR) engagement. Our data suggest that IDR-assisted molecular crowding of actin above the critical concentration defines a new mechanism to regulate cytoskeletal dynamics. The principle of IDRs serving as molecular sponges to facilitate regulated self-assembly of filament-forming proteins might be a general phenomenon.

biochemistry↗

bioRxiv2021

The 3D architecture of the pepper (Capsicum annum) genome and its relationship to function and evolution

The architecture of topologically associating domains (TADs) varies across plant genomes. Understanding the functional consequences of this diversity requires insights into the pattern, structure, and function of TADs. Here, we present a comprehensive investigation of the 3D genome organization of pepper (Capsicum annuum) and its association with gene expression and genomic variants. We report the first chromosome-scale long-read genome assembly of pepper and generate Hi-C contact maps for four tissues. The contact maps indicate that 3D structure varies somewhat across tissues, but generally the genome was segregated into subcompartments that were correlated with transcriptional state. In addition, chromosomes were almost continuously spanned by TADs, with the most prominent found in large genomic regions that were rich in retrotransposons. A substantial fraction of TAD boundaries were demarcated by chromatin loops, suggesting loop extrusion is a major mechanism for TAD formation; many of these loops were bordered by genes, especially in highly repetitive regions, resulting in gene clustering in three dimensional space. Integrated analysis of Hi-C profiles and transcriptomes showed that change in 3D chromatin structures (e.g. subcompartments, TADs, and loops) was not the primary mechanism contributing to differential gene expression between tissues, but chromatin structure does play a role in transcription stability. TAD boundaries were significantly enriched for breaks of synteny and depletion of sequence variation, suggesting that TADs constrain patterns of genome structural evolution in plants. Together, our work provides insights into principles of 3D genome folding in large plant genomes and its association with function and evolution.

genomics↗

bioRxiv2021

Inference of Brain States under Anesthesia with Meta Learning Based Deep Learning Models

Monitoring the depth of unconsciousness during anesthesia is useful in both clinical settings and neuroscience investigations to understand brain mechanisms. Electroencephalogram (EEG) has been used as an objective means of characterizing brain altered arousal and/or cognition states induced by anesthetics in real-time. Different general anesthetics affect cerebral electrical activities in different ways. However, the performance of conventional machine learning models on EEG data is unsatisfactory due to the low Signal to Noise Ratio (SNR) in the EEG signals, especially in the office-based anesthesia EEG setting. Deep learning models have been used widely in the field of Brain Computer Interface (BCI) to perform classification and pattern recognition tasks due to their capability of good generalization and handling noises. Compared to other BCI applications, where deep learning has demonstrated encouraging results, the deep learning approach for classifying different brain consciousness states under anesthesia has been much less investigated. In this paper, we propose a new framework based on meta-learning using deep neural networks, named Anes-MetaNet, to classify brain states under anesthetics. The Anes-MetaNet is composed of Convolutional Neural Networks (CNN) to extract power spectrum features, and a time consequence model based on Long Short-Term Memory (LSTM) Networks to capture the temporal dependencies, and a meta-learning framework to handle large cross-subject variability. We used a multi-stage training paradigm to improve the performance, which is justified by visualizing the high-level feature mapping. Experiments on the office-based anesthesia EEG dataset demonstrate the effectiveness of our proposed Anes-MetaNet by comparison of existing methods.

bioengineering↗

bioRxiv2021

DETIRE: A Hybrid Deep Learning Model for identifying Viral Sequences from Metagenomes

A metagenome contains all DNA sequences from an environmental sample, including viruses, bacteria, fungi, actinomycetes and so on. Since viruses are of huge abundance and have caused vast mortality and morbidity to human society in history as a kind of major pathogens, detecting viruses from metagenomes plays a crucial role in analysing the viral component of samples and is the very first step for clinical diagnosis. However, detecting viral fragments directly from the metagenomes is still a tough issue because of the existence of huge number of short sequences. In this paper, a hybrid Deep lEarning model for idenTifying vIral sequences fRom mEtagenomes (DETIRE), is proposed to solve the problem. Firstly, the graph-based nucleotide sequence embedding strategy is utilized to enrich the expression of DNA sequences by training an embedding matrix. Then the spatial and sequential features are extracted by trained CNN and BiLSTM networks respectively to improve the feature expression of short sequences. Finally, the two set of features are weighted combined for the final decision. Trained by 220,000 sequences of 500bp subsampled from the Virus and Host RefSeq genomes, DETIRE identifies more short viral sequences (<1,000bp) than three latest methods, DeepVirFinder, PPR-Meta and CHEER. DETIRE is freely available at https://github.com/crazyinter/DETIRE.

bioinformatics↗

bioRxiv2021

FastQTLmapping: an ultra-fast package for mQTL-like analysis

SummaryHere we describe fastQTLmapping, a C++ package that is computationally efficient not only for mQTL-like analysis but as a generic solver also for conducting exhaustive linear regressions involving extraordinarily large numbers of dependent and explanatory variables allowing for covariates. Compared to the state-of-the-art MatrixEQTL, fastQTLmapping was an order of magnitude faster with much lower peak memory usage. In a large dataset consisting of 3,500 individuals, 8 million SNPs, 0.8 million CpGs and 20 covariates, fastQTLmapping completed the mQTL analysis in 7 hours with 230GB peak memory usage. Availability and ImplementationFastQTLmapping is implemented in C++ and released under a GPL license. FastQTLmapping can be downloaded from https://github.com/TianTTL/xQTLmapping. Contactliufan@big.ac.cn

bioinformatics↗

bioRxiv2021

Integrating transcriptomes to investigate genes associated with adaptation to aquatic environments, and assess phylogenetic conflict and whole-genome duplications in Alismatales

Land plants first evolved from freshwater algae, and flowering plants returned to water as early as the Cretaceous and multiple times subsequently. Alismatales is the largest clade of aquatic angiosperms including all marine angiosperms, as well as terrestrial plants. We used Alismatales to explore plant adaptation to aquatic environments by analyzing a data set that included 95 samples (89 Alismatales species) covering four genomes and 91 transcriptomes (59 generated in this study). To provide a basis for investigating adaptation, we assessed phylogenetic conflict and whole-genome duplication (WGD) events in Alismatales. We recovered a relationship for the three main clades in Alismatales as (Tofieldiaceae, Araceae) + core Alismatids. We also found phylogenetic conflict among the backbone of the three main clades that could be explained by incomplete lineage sorting and introgression. Overall, we identified 18 putative WGD events across Alismatales. One of them occurred at the most recent common ancestor of core Alismatids, and three occurred at seagrass lineages. We also found that lineage and life-form were both important for different evolutionary patterns for the genes related to freshwater and marine adaptation. For example, several light or ethylene-related genes were lost in the seagrass Zosteraceae, but are present in other seagrasses and freshwater species. Stomata-related genes were lost in both submersed freshwater species and seagrasses. Nicotianamine synthase genes, which are important in iron intake, expanded in both submersed freshwater species and seagrasses. Our results advance the understanding of the adaptation to aquatic environments and whole-genome duplications using phylogenomics.

evolutionary biology↗

bioRxiv2021

Effects of Chronic Intermittent Hypoxia and Chronic Sleep Fragmentation on Gut Microbiome, Serum Metabolome, Liver and Adipose Tissue Morphology

Chronic intermittent hypoxia (CIH) and chronic sleep fragmentation (CSF) are two cardinal pathological features of obstructive sleep apnea (OSA). Dietary obesity is a crucial risk intermediator for OSA and metabolic disorders. Gut microbiota affect hepatic and adipose tissue morphology under conditions of CIH or CSF through downstream metabolites. However, the exact relationship is unclear. Herein, chow and high-fat diet (HFD)-fed mice were subjected to CIH or CSF for 10 weeks each and compared to normoxia (NM) or normal sleep (NS) controls. 16S rRNA amplicon sequencing, untargeted liquid chromatography-tandem mass spectrometry, and histological assessment of liver and adipose tissues were used to investigate the correlations between the microbiome, metabolome, and lipid metabolism under CIH or CSF condition. Our results demonstrated that CIH and CSF regulate the abundance of intestinal microbes (such as Akkermansia mucinphila, Clostridium spp., Lactococcus spp., and Bifidobacterium spp.) and functional metabolites, such as tryptophan, free fatty acids, branched amino acids, and bile acids, which influence adipose tissue and hepatic lipid metabolism, and the level of lipid deposition in tissues and peripheral blood. In conclusion, CIH and CSF adversely affect fecal microbiota composition and function, and host metabolism; these findings provide new insight into the independent and synergistic effects of CIH, CSF, and HFD on lipid disorders.

microbiology↗

bioRxiv2021

Comprehensive RNA-Seq Reveals Molecular Changes in Kidney Malignancy Among People Living with HIV

BackgroundMalignancy of the kidney is a rapidly progressive kidney disease and a major source of morbidity and mortality among people living with HIV (PLWH). Patients with HIV-associated kidey cancer experience higher cancer-specific mortality than the general population, and its mechanism remains poorly understood. MethodsTo heighten the awareness of kidney malignancy in patients with HIV infection to facilitate the early diagnosis of kidney cancer, we identified 2460 protein-coding transcripts in HIV-associated kidney cancer using comprehensive RNA sequencing (RNA-seq). ResultsKISS1R, CAIX, and NPTX2 mRNA expression levels were specifically increased in HIV-associated kidney cancer, and UMOD and TMEM213 mRNA were decreased in most cases based on real-time PCR analyses. These findings were similar to those noted for the general population with renal cell carcinoma. Immunohistochemical staining analysis also showed that a total of 16 of 18 kidney malignant cases among PLWH exhibited positive staining for KISS1R and CAIX. ConclusionPathway analysis of the differentially expressed mRNAs in HIV-associated kidney cancer revealed that several key pathways were involved, including voltage-gated chloride channel activity, distal tubule development, collecting duct development, fructose metabolic processes, and negative regulation of lipase activity. The identified molecular changes in kidney malignancy may offer a helpful explanation for cancer progression and open up new therapeutic avenues that may decrease mortality after a cancer diagnosis among PLWH.

cancer biology↗

bioRxiv2021

Different structures and pathologies of alpha-synuclein fibrils derived from preclinical and postmortem patients of Parkinson's disease

-Synuclein (-syn) fibrillar aggregates are the major component of Lewy bodies and Lewy neurites presenting as the pathology hallmark of Parkinsons disease (PD). Studies have shown that -syn is potential to form different conformational fibrils associated with different synucleinopathies, but whether the conformation of -syn fibrils changes in different phases of related diseases is to be explored. Here, we amplified -syn aggregates from the cerebrospinal fluid (CSF) of preclinical (pre-PD) and late-stage postmortem PD (post-PD) patients. Our results show that compared to the CSF of pre-PD, that of post-PD is markedly stronger in seeding in vitro -syn aggregation, and the amplified fibrils are more potent in inducing endogenous -syn aggregation in neurons. Cryo-electron microscopic structures further reveal that the difference between the pre-PD- and post-PD-derived fibrils lies on a minor polymorph which in the pre-PD fibrils is morphologically straight, while in the post-PD fibrils represents a single protofilament assembled by a distinctive conformation of -syn. Our work demonstrates structural and pathological differences between pre-PD and post-PD -syn aggregation and suggests potential alteration of -syn fibrils during the progression of PD clinical phases. Significance StatementIncreasing evidence support different conformational -syn fibrils in patients with different -synucleinopathies, but whether the conformation of -syn fibrils changes in different phases of related diseases is unknown. Here, we show that -syn fibrils amplified from the cerebrospinal fluid (CSF) of the late-stage postmortem PD (post-PD) patient are more potent in inducing endogenous -syn aggregation in neurons than that amplified from the preclinical (pre-PD) patient. Cryo-EM structures further reveal that the post-PD fibrils contain a novel conformation that is distinct from either the pre-PD fibrils or those previously reported. Our work suggests conformational evolution of -syn fibrils along with PD progression.

biophysics↗

bioRxiv2021

PHB3 Regulates Lateral Root Primordia Formation via NO-mediated Degradation of AUX/IAAs

We previously showed that PHB3 regulates auxin-stimulated lateral root (LR) formation; however, the underlying molecular mechanism is unknown. Here, we demonstrate that PHB3 regulates LR development mainly through influencing lateral root primordia (LRP) initiation via affecting nitric oxide (NO) accumulation. The reduced LRP in phb3 was largely rescued by exogenous NO donor SNAP treatment. The decreased NO accumulation in phb3 caused a lower expression of GATA23 and LBD16 through inhibiting the degradation of IAA14/28. Overexpression of either GATA23 or LBD16 in phb3 mutant background recovered the reduced LRP number phenotype. These results indicate that PHB3 regulates LRP initiation via NO-mediated auxin signaling through regulating the degradation of IAA14/28. HighlightPHB3 regulates IAA28 and IAA14 degradation by controlling NO accumulation, and thereby regulating LR founder cell identification and the transition to asymmetric division.

developmental biology↗

bioRxiv2021

Spatially-resolved transcriptomics analyses of invasive fronts in solid tumors

Solid tumors are complex ecosystems, and heterogeneity is the major challenge for overcoming tumor relapse and metastasis. Uncovering the spatial heterogeneity of cell types and functional states in tumors is essential for developing effective treatment, especially in invasive fronts of tumor, the most active region for tumor cells infiltration and invasion. We firstly used SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq) with a nanoscale resolution to characterize the tumor microenvironment of intrahepatic cholangiocarcinoma (ICC). Enrichment of distinctive immune cells, suppressive immune microenvironment and metabolic reprogramming of tumor cells were identified in the 500{micro}m-wide zone centered bilaterally on the tumor boundary, namely invasive fronts of tumor. Furthermore, we found the damaged states of hepatocytes with overexpression of Serum Amyloid A (SAA) in invasive fronts, recruiting macrophages for facilitating further tumor invasion, and thus resulting in a worse prognosis. We also confirmed these findings in hepatocellular carcinoma and other liver metastatic cancers. Our work highlights the remarkable potential of high-resolution-spatially resolved transcriptomic approaches to provide meaningful biological insights for comprehensively dissecting the tumor ecosystem and guiding the development of novel therapeutic strategies for solid tumors.

cancer biology↗

bioRxiv2021

Methylome inheritance and enhancer dememorization reset an epigenetic gate safeguarding embryonic programs

Drastic epigenetic reprogramming is essential to convert terminally-differentiated gametes to totipotent embryos. However, it remains puzzling why post-fertilization global DNA reprogramming occurs only in mammals but not in non-mammalian vertebrates. In zebrafish, global methylome inheritance is however accompanied by sweeping enhancer "dememorization" as they become fully methylated. By depleting maternal dnmt1 using oocyte microinjection in situ, we eliminated DNA methylation in zebrafish early embryos, which died around gastrulation with severe differentiation defects. Strikingly, methylation deficiency leads to extensive derepression of adult tissue-specific genes and CG-rich enhancers, which acquire ectopic TF binding and, unexpectedly, H3K4me3. By contrast, embryonic enhancers are generally CG-poor and evade DNA methylation repression. Hence, global DNA hypermethylation inheritance coupled with enhancer dememorization installs an epigenetic gate that safeguards embryonic programs and ensures temporally ordered gene expression. We propose that "enhancer dememorization" underlies and unifies distinct epigenetic reprogramming modes in early development between mammals and non-mammals.

developmental biology↗

bioRxiv2021

Rod-genesis driven by mafba in an nrl knockout zebrafish model with altered photoreceptor compositions and progressive retinal degeneration

The neural retina leucine zipper (NRL) is an essential gene for the fate determination and differentiation of rod photoreceptors in mammals. Mutations in NRL have been associated with autosomal recessive enhanced S-cone syndrome and autosomal dominant retinitis pigmentosa. However, the exact role of Nrl in regulating the development and maintenance of photoreceptors in zebrafish, a popular animal model used for retinal degeneration and regeneration studies, has not been fully determined. In this study, we generated an nrl knockout zebrafish model by CRISPR-Cas9 technology and observed a surprising phenotype characterized by the reduction but not total elimination of rods and the over-grown of green-cones. By tracing the developmental process of rods, we discovered two waves of rod genesis in zebrafish, emerging at the embryonic stage with an nrl-dependent pattern and the post-embryonic stage with an nrl-independent pattern, respectively. Through bulk and single-cell RNA sequencing, we constructed the gene expression profiles for the whole retinal tissues and each of the retinal cell types in WT and nrl knockout zebrafish. We detected the rod/green-cone intermediate photoreceptors in nrl knockout zebrafish, suggesting that there may be a kind of rod/green-cone bipotent precursors and its fate choice between rod and green-cone is controlled by nrl. Besides, we identified the mafba gene as a novel regulator for nrl-independent rods, based on the cell-type-specific expression pattern and the retinal phenotype of nrl/mafba double knockout zebrafish. Furthermore, the altered photoreceptor compositions and abnormal gene expression caused progressive retinal degeneration and subsequent regeneration in nrl knockout zebrafish. Our work revealed a novel function of mafba gene in rod development and established a more suitable model for the developmental processes and regulatory mechanisms of rod and green-cone photoreceptors in zebrafish. Author SummaryVision is mediated by two types of light-sensing cells named rod and cone photoreceptors in animal eyes. Abnormal generation, dysfunction or death of photoreceptor cells can all cause irreversible vision problems. NRL is the most important gene for the occurrence and function of rod cells in mice and humans. Surprisingly, we found that in zebrafish, a popular animal model used for mimicking human diseases and testing treatments, there are two types of rod cells and breaking the function of nrl gene only affects the generation of rod cells at the embryonic stage but not the juvenile and adult stages. The rod cells produced later are proved to be driven by the mafba gene, which has not been reported to play a role in rod cells. In addition to the reduction of rod cells, deletion of nrl also results in the occurrence of rod/green-cone hybrid cells and the increasing number of green-cones. The combination of changes at cellular and molecular levels finally lead to a disease condition named retinal degeneration. These findings add new knowledge to the research field and highlight the conserved and species-specific regulatory mechanisms of photoreceptor development and maintenance.

genetics↗