Biology subjects

Ni, Z.

Publications and source records attributed to Ni, Z..

At least 37 records · Page 2Linked to original sources

bioRxiv2021

Epilipidomics platform for holistic profiling of oxidized complex lipids in blood plasma of obese individuals

Lipids are a structurally diverse class of biomolecules which can undergo a variety of chemical modifications. Among them, lipid (per)oxidation attracts most of the attention due to its significance in regulation of inflammation, cell proliferation and death programs. Despite their apparent regulatory significance, the molecular repertoire of oxidized lipids remains largely elusive as accurate annotation of lipid modifications is challenged by their low abundance and largely unknown, biological context-dependent structural diversity. Here we provide a holistic workflow based on the combination of bioinformatics and LC-MS/MS technologies to support identification and relative quantification of oxidized complex lipids in a modification type- and position-specific manner. The developed methodology was used to identify epilipidomics signatures of lean and obese individuals with and without type II diabetes. Characteristic signature of lipid modifications in lean individuals, dominated by the presence of modified octadecanoid acyl chains in phospho- and neutral lipids, was drastically shifted towards lipid peroxidation-driven accumulation of oxidized eicosanoids, suggesting significant alteration of endocrine signalling by oxidized lipids in metabolic disorders.

biochemistry↗

bioRxiv2021

Investigation on the changes of Bifidobacterium and lactic acid bacteria in soybean meal fermented feed

The main objective of this research was to explore the dynamic changes of Bifidobacterium and lactic acid bacteria (LAB) in the process of feed fermentation under anaerobic condition, so as to increase the number of fermented bacteria of Bifidobacterium from the aspect of strain combination. The results showed that when Bifidobacterium lactis (B. lactis, i.e. Bifidobacterium animalis subsp. lactis) fermented with Bacillus coagulans or Lactobacillus paracasei, the maximum number of B. lactis in those samples was 9.42 times and 4.64 times of that of fermented sample with B. lactis only. The soybean meal was fermented by B. lactis, L. paracasei and B. coagulans, and the number of B. lactis reached the maximum after fermented 10 days, which was 6.13 times of that in unfermented sample. The reducing sugar content and highest activity of -galactosidase were higher than the control. These results suggest that B. coagulans and L. paracasei can promote the growth of B. lactis. It is inferred that B. coagulans can metabolize normally in aerobic, micro-aerobic and anaerobic environments, consume oxygen, produce digestive enzymes, and cooperate with L. paracasei to produce metabolic products benefit for the growth of B. lactis.

microbiology↗

bioRxiv2021

Multi-omics analysis for potential inflammation-related genes involved in tumor immune evasion via extended application of epigenetic data

BackgroundAccumulating evidence suggests that inflammation-related genes may play key roles in tumor immune evasion. Programmed cell death ligand 1 (PD-L1) is an important immune checkpoint involved in mediating antitumor immunity. We performed multi-omics analysis to explore key inflammation-related genes affecting the transcriptional regulation of PD-L1 expression. MethodsThe open chromatin region of the PD-L1 promoter was mapped using the assay for transposase-accessible chromatin using sequencing (ATAC-seq) profiles. Correlation analysis of epigenetic data (ATAC-seq) and transcriptome data (RNA-seq) were performed to identify inflammation-related transcription factors whose expression levels were correlated with the chromatin accessibility of the PD-L1 promoter. Chromatin immunoprecipitation sequencing (ChIP-seq) profiles were used to confirm the physical binding of the TF STAT2 and the predicted binding regions. We also confirmed the results of the bioinformatics analysis with cell experiments. ResultsWe identified chr9:5449463-5449962 and chr9:5450250-5450749 as reproducible open chromatin regions in the PD-L1 promoter. Moreover, we observed a correlation between STAT2 expression and the accessibility of the aforementioned regions. Furthermore, we confirmed its physical binding through ChIP-seq profiles and demonstrated the regulation of PD-L1 by STAT2 overexpression in vitro. Multiple databases were also used for the validation of the results. ConclusionOur study identified STAT2 as a direct upstream TF regulating PD-L1 expression. The interaction of STAT2 and PD-L1 might be associated with tumor immune evasion in cancers, suggesting the potential value for tumor treatment.

immunology↗

bioRxiv2021

SpotClean adjusts for spot swapping in spatial transcriptomics data

Spatial transcriptomics (ST) is a powerful and widely-used approach for profiling genome-wide gene expression across a tissue with emerging applications in molecular medicine and tumor diagnostics. Recent spatial transcriptomics experiments utilize slides containing thousands of spots with spot-specific barcodes that bind mRNA. Ideally, unique molecular identifiers at a spot measure spot-specific expression, but this is often not the case owing to bleed from nearby spots, an artifact we refer to as spot swapping. We propose SpotClean to adjust for spot swapping and, in doing so, to increase the sensitivity and precision with which downstream analyses are conducted.

genomics↗

bioRxiv2021

AMP-Kinase mediates regulation of glomerular volume and podocyte survival

We reported that Shroom3 knockdown, via Fyn inhibition, induced albuminuria with foot process effacement (FPE) without glomerulosclerosis (FSGS) or podocytopenia. Interestingly, knockdown mice had reduced podocyte volumes. Human minimal change disease, where podocyte Fyn inactivation was reported, also showed lower glomerular volumes than FSGS. We hypothesized that lower glomerular volume prevented the progression to podocytopenia. To test this hypothesis, we utilized unilateral- and 5/6th nephrectomy models in Shroom3 knockdown mice. Knockdown mice exhibited lower glomerular volume, and less glomerular and podocyte hypertrophy after nephrectomy. FYN-knockdown podocytes had similar reductions in podocyte volume, implying Fyn was downstream of Shroom3. Using SHROOM3- or FYN-knockdown, we confirmed reduced podocyte protein content, along with significantly increased phosphorylated AMP-kinase, a negative regulator of anabolism. AMP-Kinase activation resulted from increased cytoplasmic redistribution of LKB1 in podocytes. Inhibition of AMP-Kinase abolished the reduction in glomerular volume and induced podocytopenia in mice with FPE, suggesting a protective role for AMP-Kinase activation. In agreement with this, treatment of glomerular injury models with AMP-Kinase activators restricted glomerular volume, podocytopenia and progression to FSGS. In summary, we demonstrate the important role of AMP-Kinase in glomerular volume regulation and podocyte survival. Our data suggest that AMP-Kinase activation adaptively regulates glomerular volume to prevent podocytopenia in the context of podocyte injury.

systems biology↗

bioRxiv2021

The Anna Karenina model of beta cell maturation in development and their dedifferentiation in type 1 and type 2 diabetes

Loss of mature {beta} cell function and identity, or {beta} cell dedifferentiation, is seen in all types of diabetes mellitus. Two competing models explain {beta} cell dedifferentiation in diabetes. In the first model, {beta} cells dedifferentiate in the reverse order of their developmental ontogeny. This model predicts that dedifferentiated {beta} cells resemble {beta} cell progenitors. In the second model, {beta} cell dedifferentiation depends on the type of diabetogenic stress. This model, which we call the "Anna Karenina" model, predicts that in each type of diabetes, {beta} cells dedifferentiate in their own way, depending on how their mature identity is disrupted by any particular diabetogenic stress. We directly tested the two models using a {beta} cell-specific lineage-tracing system coupled with RNA-sequencing in mice. We constructed a multidimensional map of {beta} cell transcriptional trajectories during the normal course of {beta} cell postnatal development and during their dedifferentiation in models of both type 1 diabetes (NOD) and type 2 diabetes (BTBR-Lepob/ob). Using this unbiased approach, we show here that despite some similarities between immature and dedifferentiated {beta} cells, {beta} cells dedifferentiation in the two mouse models is not a reversal of developmental ontogeny and is different between different types of diabetes.

developmental biology↗

bioRxiv2021

AdipoAtlas: A Reference Lipidome for Human White Adipose Tissue

Obesity, characterized by expansion and metabolic dysregulation of white adipose tissue (WAT), has reached pandemic proportions and acts as a primer for a wide range of metabolic disorders. Remodelling of WAT lipidome in obesity and associated comorbidities can explain disease etiology and provide valuable diagnostic and prognostic markers. To support understanding of WAT lipidome remodelling at the molecular level, we performed in-depth lipidomics profiling of human subcutaneous and visceral WAT of lean and obese individuals. Tissue-tailored preanalytical and analytical workflows allowed accurate identification and semi-absolute quantification of 1636 and 737 lipid molecular species, respectively, and summarized here in a form of human WAT reference lipidome. Deep lipidomic profiling allowed to identify main lipid (sub)classes undergoing depot/phenotype specific remodelling. Furthermore, previously unanticipated diversity of WAT ceramides was uncovered. AdipoAtlas reference lipidome will serve as a data-rich resource for the development of WAT-specific high-throughput methods and as a scaffold for systems medicine data integration.

biochemistry↗

bioRxiv2021

The influence of positive emotion and negative emotion on false memory based on EEG signals analysis

Analyzing the influence of emotion on false memory through electroencephalogram is helpful to further explore the cognition function of brain. In this study, we improved the Deese-Roediger-McDermott paradigm experiment to study the false memory. The memory materials are combined with mixed emotions, which are closer to real life. Twenty-eight participants were randomly divided into positive group and negative group. We used music to induce the participants in the positive group and the negative group to generate corresponding emotions. Finally, we analyzed the difference between the positive group and the negative group from the behavior data, source location and cortex functional network of event related potential. The results of behavioral data analysis show that the false memory rate of positive group (85%) is significantly higher than that of negative group (72%). The results of source localization show that the brain of the positive group is more active than that of the negative group, and the difference of brain activation location between the two groups is mainly manifested in the BA24 and BA45 brain regions. The results of cortex functional network show that the node degree, clustering coefficient, global efficiency and small-world property of the positive group are significantly higher than those of the negative group. It can be found from the three aspects that participants emotional state and brains understanding of semantic are the main reasons for the difference in the incidence of false memory between the two groups.

animal behavior and cognition↗

bioRxiv2020

Normalization by distributional resampling of high throughput single-cell RNA-sequencing data

MotivationNormalization to remove technical or experimental artifacts is critical in the analysis of single-cell RNA-sequencing experiments, even those for which unique molecular identifiers (UMIs) are available. The majority of methods for normalizing single-cell RNA-sequencing data adjust average expression in sequencing depth, but allow the variance and other properties of the gene-specific expression distribution to be non-constant in depth, which often results in reduced power and increased false discoveries in downstream analyses. This problem is exacerbated by the high proportion of zeros present in most datasets. ResultsTo address this, we present Dino, a normalization method based on a flexible negative-binomial mixture model of gene expression. As demonstrated in both simulated and case study datasets, by normalizing the entire gene expression distribution, Dino is robust to shallow sequencing depth, sample heterogeneity, and varying zero proportions, leading to improved performance in downstream analyses in a number of settings. Availability and implementationThe R package, Dino, is available on GitHub at https://github.com/JBrownBiostat/Dino. Contactbrownj@biostat.wisc.edu, kendzior@biostat.wisc.edu

genomics↗

bioRxiv2020

Gamete simulation improves polygenic transmission disequilibrium analysis

Polygenic risk scores (PRS) derived from summary statistics of genome-wide association studies (GWAS) have enjoyed great popularity in human genetics research. Applied to population cohorts, PRS can effectively stratify individuals by risk group and has promising applications in early diagnosis and clinical intervention. However, our understanding of within-family polygenic risk is incomplete, in part because the small samples per family significantly limits power. Here, to address this challenge, we introduce ORIGAMI, a computational framework that uses parental genotype data to simulate offspring genomes. ORIGAMI uses state-of-the-art genetic maps to simulate realistic recombination events on phased parental genomes and allows quantifying the prospective PRS variability within each family. We quantify and showcase the substantially reduced yet highly heterogeneous PRS variation within families for numerous complex traits. Further, we incorporate within-family PRS variability to improve polygenic transmission disequilibrium test (pTDT). Through simulations, we demonstrate that modeling within-family risk substantially improves the statistical power of pTDT. Applied to 7,805 trios of autism spectrum disorder (ASD) probands and healthy parents, we successfully replicated previously reported over-transmission of ASD, educational attainment, and schizophrenia risk, and identified multiple novel traits with significant transmission disequilibrium. These results provided novel etiologic insights into the shared genetic basis of various complex traits and ASD.

genetics↗

bioRxiv2020

SKiM - A generalized literature-based discovery system for uncovering novel biomedical knowledge from PubMed

Literature-based discovery (LBD) uncovers undiscovered public knowledge by linking terms A to C via a B intermediate. Existing LBD systems are limited to process certain A, B, and C terms, and many are not maintained. We present SKiM (Serial KinderMiner), a generalized LBD system for processing any combination of A, Bs, and Cs. We evaluate SKiM via the rediscovery of discoveries by Don Swanson, who pioneered LBD. Using only literature from the 19th century up to a year before Swansons discoveries, SKiM uncovers all five discoveries. We apply SKiM to repurposing drugs for 26 conditions of high prevalence. Manual analysis confirmed 65 discoveries useful for four diseases from Swansons discoveries from one to 31 years prior to their first validation by clinical trials. SKiM predicts many new potential drug candidates representing prime targets for wet lab validation. SKiM can be applied to any biomedical inquiry sufficiently mentioned in the literature.

bioinformatics↗

bioRxiv2020

CHARTS: A web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq datasets

BackgroundSingle-cell RNA-seq (scRNA-seq) enables the profiling of genome-wide gene expression at the single-cell level and in so doing facilitates insight into and information about cellular heterogeneity within a tissue. Perhaps nowhere is this more important than in cancer, where tumor and tumor microenvironment heterogeneity directly impact development, maintenance, and progression of disease. While publicly available scRNA-seq cancer datasets offer unprecedented opportunity to better understand the mechanisms underlying tumor progression, metastasis, drug resistance, and immune evasion, much of the available information has been underutilized, in part, due to the lack of tools available for aggregating and analysing these data. ResultsWe present CHARacterizing Tumor Subpopulations (CHARTS), a computational pipeline and web application for analyzing, characterizing, and integrating publicly available scRNA-seq cancer datasets. CHARTS enables the exploration of individual gene expression, cell type, malignancy-status, differentially expressed genes, and gene set enrichment results in subpopulations of cells across multiple tumors and datasets. ConclusionCHARTS is an easy to use, comprehensive platform for exploring single-cell subpopulations within tumors across the ever-growing collection of public scRNA-seq cancer datasets. CHARTS is freely available at charts.morgridge.org.

bioinformatics↗

bioRxiv2020

The transcriptional and splicing changes caused by hybridization can be globally recovered by genome doubling during allopolyploidization

Allopolyploidization, which involves hybridization and genome doubling, is a key driving force in higher plant evolution. The transcriptome reprogramming that accompanies allopolyploidization can cause extensive phenotypic variations, and thus confers allopolyploids higher evolutionary potential than their diploid progenitors. Despite many studies, little is known about the interplay between hybridization and genome doubling in transcriptome reprogramming during allopolyploidization. Here, we performed genome-wide analyses of gene expression and splicing changes during allopolyploidization in wheat and brassica lineages. Our results indicated that both hybridization and genome doubling can induce genome-wide transcriptional and splicing changes. Notably, the gene transcriptional and splicing changes caused by hybridization can be largely recovered to parental levels by genome doubling in allopolyploids. Since transcriptome reprogramming is an important contributor to heterosis, our results revealed that only part of the heterosis in hybrids can be fixed in allopolyploids through genome doubling. Therefore, our findings update the current understanding of the permanent fixation of heterosis in hybrids through genome doubling. In addition, our results indicated that a large proportion of the transcriptome reprogramming in interspecific hybrids was not caused by the merging of two parental genomes, providing novel insights into the mechanism of heterosis.

evolutionary biology↗

bioRxiv2020

LipidLynxX: lipid annotations converter for large scale lipidomics and epilipidomics datasets

Modern high throughput lipidomics provides large-scale datasets reporting hundreds of lipid molecular species. However, cross-laboratory comparison, meta-analysis, and systems biology integration of in-house generated and published datasets remain challenging due to a high diversity of used lipid annotation systems, different levels of reported structural information, and shortage in links to data integration resources. To support lipidomics data integration and interoperability of experimental lipidomics with data integration tools, we developed LipidLynxX serving as a hub facilitating data flow from high-throughput lipidomics analysis to systems biology data integration. LipidLynxX provides the possibility to convert, cross-match, and link various lipid annotations to the tools supporting lipid ontology, pathway, and network analysis aiming systems-wide integration and functional annotation of lipidome dynamics in health and disease. LipidLynxX is a flexible, customizable open-access tool freely available for download at https://github.com/SysMedOs/LipidLynxX.

bioinformatics↗

bioRxiv2019

Identification of a small molecule antagonist for the Tudor domain of SMN

Survival of motor neuron (SMN), a Tudor-domain-containing protein, plays an important role in diverse biological pathways via recognition of symmetrically dimethylated arginine (Rme2s) on proteins by its Tudor domain, and deficiency of SMN leads to the motor neuron degenerative disease spinal muscular atrophy (SMA). Here we report a potent and selective antagonist with a 4-iminopyridine scaffold targeting the Tudor domain of SMN. Our structural and mutagenesis studies indicate that the sandwich stacking interactions of SMN and compound 1 play a critical role in selective binding to SMN. Various on-target engagement assays support that compound 1 recognizes SMN specifically in a cellular context. In cell studies display that the SMN antagonist prevent the interaction of SMN with R1810me2s of DNA-directed RNA polymerase II subunit POLR2A and results in transcription termination and R-loop accumulation, mimicking depletion of SMN. Thus, in addition to the antisense, RNAi and CRISPR/Cas9 techniques, the potent SMN antagonist could be used as an efficient tool in understanding the biological functions of SMN and molecular etiology in SMA.

biochemistry↗

bioRxiv2019

Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder

Recent advances in consortium-scale genome-wide association studies (GWAS) have highlighted the involvement of common genetic variants in autism spectrum disorder (ASD), but our understanding of their etiologic roles, especially the interplay with rare variants, is incomplete. In this work, we introduce an analytical framework to quantify the transmission disequilibrium of genetically regulated gene expression from parents to offspring. We applied this framework to conduct a transcriptome-wide association study (TWAS) on 7,805 ASD proband-parent trios, and replicated our findings using 35,740 independent samples. We identified 31 associations at the transcriptome-wide significance level. In particular, we identified POU3F2 (p=2.1e-7), a transcription factor (TF) mainly expressed in developmental brain. TF targets regulated by POU3F2 showed a 2.1-fold enrichment for known ASD genes (p=4.6e-5) and a 2.7-fold enrichment for loss-of-function de novo mutations in ASD probands (p=7.1e-5). These results provide a clear example of the connection between ASD genes affected by very rare mutations and an unlinked key regulator affected by common genetic variations.

genetics↗

bioRxiv2019

CB2 distinguishes cells from background barcodes in 10x Genomics data

An important challenge in pre-processing data from the 10x Genomics Chromium platform is distinguishing barcodes associated with real cells from those binding background reads. Existing methods test barcodes individually, and consequently do not leverage the strong cell-to-cell correlation present in most datasets. To improve the power to identify real cells and rare subpopulations, we introduce CB2, a cluster-based approach for distinguishing real cells from background barcodes.

genomics↗

bioRxiv2019

Bacterial metabolism rescues the inhibition of intestinal drug absorption by food and drug additives

Food and drugs contain diverse small molecule additives (excipients) with unclear impacts on human physiology. Here, we evaluate their potential impact on intestinal absorption, screening 136 unique compounds for inhibition of the key transporter OATP2B1. We identified and validated 24 potent OATP2B1 transport inhibitors, characterized by higher molecular weight and hydrophobicity compared to poor or non-inhibitors. OATP2B1 inhibitors were also enriched for dyes, including 8 azo (R-N=N-R') dyes. Pharmacokinetic studies in mice confirmed that FD&C Red No. 40, a common azo dye excipient, inhibited drug absorption; however, the human gut microbiome inactivated azo dye excipients, producing metabolites that no longer inhibit OATP2B1 transport. These results support a beneficial role for the microbiome in limiting the unintended effects of food and drug additives in the intestine. One Sentence SummaryFood and drug additives inhibit intestinal drug transporters, although some are inactivated by gut bacterial metabolism.

pharmacology and toxicology↗