Biology subjects

Ye, Y.

Publications and source records attributed to Ye, Y..

At least 181 records · Page 10Linked to original sources

bioRxiv2020

A Myosin-7B dependent endocytosis pathway mediates cellular entry of α-Synuclein fibrils and polycation-bearing cargos

Cell-to-cell transmission of misfolding-prone -Synuclein (-Syn) has emerged as a key pathological event in Parkinsons disease. This process is initiated when -Syn-bearing fibrils enter cells via clathrin-mediated endocytosis, but the underlying mechanisms are unclear. Using a CRISPR-mediated knockout screen, we identify SLC35B2 and Myosin-7B (MYO7B) as critical endocytosis regulators for -Syn preformed fibrils (PFF). We show that SLC35B2, as a key regulator of heparan sulfate proteoglycan (HSPG) biosynthesis, is essential for recruiting -Syn PFF to the cell surface because this process is mediated by interactions between negatively charged sugar moieties of HSPGs and clustered K-T-K motifs in -Syn PFF. By contrast, MYO7B regulates -Syn PFF entry by maintaining a plasma-membrane-associated actin network that controls membrane dynamics. Without MYO7B or actin filaments, many clathrin-coated pits fail to be severed from the membrane, causing accumulation of large clathrin-containing scars on the cell surface. Intriguingly, the requirement for MYO7B in endocytosis is only restricted to -Syn PFF and other cargos that enter cells via HSPGs. Thus, by identifying new regulatory factors for -Syn PFF endocytosis, our study defines a mechanistically distinct clathrin-mediated endocytosis pathway that requires additional force generated by MYO7B and actin filaments. SignificanceThe spreading of misfolded protein aggregates such as -Synuclein preformed fibrils (-Syn PFF) from cell to cell is a pathologic hallmark associated with the progression of many neurodegenerative diseases, but it is unclear how mammalian cells take up these large protein aggregates to initiate this prion-like protein transmission process. Here we define the mechanism of -Syn PFF endocytosis using a combination of genetic, biochemical, and live-cell imaging techniques. Our study reveals how -Syn PFF binds to the cell surface heparan sulfate proteoglycans using two lysine-bearing motifs and then enters cells following a Myosin-7B- and actin-dependent endocytosis mechanism that is specifically tailored for polycation-bearing cargos.

cell biology↗

bioRxiv2019

Fibroblast growth factor-2 prevents synaptic pathology in minimal hepatic encephalopathy via NRG1/ErbB4 signaling

BackgroundMinimal hepatic encephalopathy (MHE) is implicated in the impairment of memory function. Fibroblast growth factor-2 (FGF2) is involved in modulating synaptic and neuronal formation. MethodsThe aim of this study is to examined the impacts of FGF2 on MHE pathology. Our study addressed whether FGF2 could trigger neuregulin-1 (NRG1) release to ameliorate synaptic impairment in MHE rats and in primary cultured neurons. ResultsThe results showed the decreased FGF2 expression in MHE brains. After treatment with FGF2, secreted neuregulin-1 (NRG1) and ErbB4 were increased, and the interaction of the 2 proteins was enhanced. Additionally, treatment with FGF2 or NRG1 induced synaptic formation, with increase in the activity of synapse and the density of dendritic spine, through Sirt1. NRG1 signaling was prevented by administration of FGF2, which acts through the FGFR1 in MHE rats. Finally, intracerebroventricular injection with FGF2 or NRG1 mitigated the impairment of synaptogenesis. ConclusionThe data suggest that FGF2 may be a promising latent therapeutic reagent for MHE pathogenesis.

neuroscience↗

bioRxiv2019

Intramembrane protease RHBDL4 interacts with erlin complex to target unstable soluble proteins for degradation

Protein degradation is fundamentally important to ensure cell homeostasis. In the endoplasmic reticulum (ER), the ER-associated degradation (ERAD) pathway targets incorrectly folded and unassembled proteins into the cytoplasm for turnover by the proteasome. In contrast, lysosomal degradation serves as a failsafe mechanism for removing proteins that resist ERAD by forming aggregates. Previously, we showed that the ER- resident rhomboid protease RHBDL4, together with p97, mediates membrane protein degradation. However, whether RHBDL4 acts in concert with additional ERAD components is unclear, and its full substrate spectrum remains to be defined. Here, we show that besides membrane proteins, RHBDL4 cleaves aggregation-prone luminal ERAD substrates. Because RHBDL4 with mutations in the rhomboid domain leads to stabilization of substrates at the cytoplasmic side, we hypothesize that analogue to the homologue ERAD factor derlin, RHBDL4 is directly involved in substrate retrotranslocation. RHBDL4s interaction with the erlin ERAD complex and reciprocal interaction of rhomboid substrates with erlins suggest that RHBDL4 and erlins form a complex that clips substrates and thereby rescues aggregation-prone peptides in the ER lumen from terminal aggregation.

cell biology↗

bioRxiv2019

Escherichia coli Metabolite Profiling Leads to the Development of an RNA Interference Strain for Caenorhabditis elegans

The relationship of genotypes to phenotypes can be modified by environmental inputs. Such crucial environmental inputs include metabolic cues derived from microbes living together with animals. Thus the analysis of genetic effects on animals physiology can be confounded by variations in the metabolic profile of microbes. Caenorhabditis elegans exposed to distinct bacterial strains and species exhibit phenotypes different at cellular, developmental and behavioral levels. Here we reported metabolomic profiles of three Escherichia coli strains, B strain OP50, K-12 strain MG1655, and B-K-12 hybrid strain HB101, and also different mitochondrial and fat storage phenotypes of C. elegans exposed to MG1655 and HB101 versus OP50. We found that these metabolic phenotypes of C. elegans are not correlated with overall metabolic patterning of bacterial strains, but their specific metabolites. In particular, the fat storage phenotype is traced to the betaine level in different bacterial strains. HT115 is another K-12 E. coli strain that is commonly utilized to elicit an RNA interference response, and we showed that C. elegans exposed to OP50 and HT115 exhibit differences in mitochondrial morphology and fat storage levels. We thus generated an RNA interference competent OP50 (iOP50) strain that can robustly and consistently knockdown endogenous C. elegans genes in different tissues. Together, these studies suggest the importance of specific bacterial metabolites in regulating the hosts physiology, and provide a tool to prevent confounding effects when analyzing genotype-phenotype interactions under different bacterial backgrounds.

genetics↗

bioRxiv2019

EuRBPDB: a comprehensive resource for annotation, functional and oncological investigation of eukaryotic RNA binding proteins (RBPs)

RNA binding proteins (RBPs) are a large protein family that plays important roles at almost all levels of gene regulation through interacting with RNAs, and contributes to numerous biological processes. However, the complete list of eukaryotic RBPs including human is still unavailable. In this study, we systematically identified RBPs in 162 eukaryotic species based on both computational analysis of RNA binding domains (RBDs) and large-scale RNA binding proteomic (RBPome) data, and established a comprehensive eukaryotic RBP database, EuRBPDB (http://EuRBPDB.syshospital.org:8081). We identified a total of 311,571 RBPs with RBDs and 3,639 non-canonical RBPs without known RBDs. EuRBPDB provides detailed annotations for each RBP, including basic information and functional annotation. Moreover, we systematically investigated RBPs in the context of cancer biology based on published literatures and large-scale omics data. To facilitate the exploration of the clinical relevance of RBPs, we additionally designed a cancer web interface to systematically and interactively display the biological features of RBPs in various types of cancers. EuRBPDB has a user-friendly web interface with browse and search functions, as well as data downloading function. We expect that EuRBPDB will be a widely-used resource and platform for the RNA biology community.

bioinformatics↗

bioRxiv2019

A general in vitro assay to study enzymatic activities of the ubiquitin system

The ubiquitin (Ub) system regulates a wide range of cellular signaling pathways. Several hundred E1, E2 and E3 enzymes are together responsible for protein ubiquitination, thereby controlling cellular activities. Due to the numerous enzymes and processes involved, studies on ubiquitination activities have been challenging. We here report a novel FRET-based assay to study the in vitro kinetics of ubiquitination. FRET is established between binding of fluorophore-labeled Ub to eGFP-tagged ZnUBP, a domain that exclusively binds unconjugated Ub. We name this assay the Free Ub Sensor System (FUSS). Using Uba1, UbcH5 and CHIP as model E1, E2 and E3 enzymes, respectively, we demonstrate that ubiquitination results in decreasing FRET efficiency, from which reaction rates can be determined. Further treatment with USP21, a deubiquitinase, leads to increased FRET efficiency, confirming the reversibility of the assay. We subsequently use this assay to show that increasing the concentration of CHIP or UbcH5 but not Uba1 enhances ubiquitination rates, and develop a novel machine learning approach to model ubiquitination. The overall ubiquitination activity is also increased upon incubation with tau, a substrate of CHIP. Our data together demonstrate the versatile applications of a novel ubiquitination assay that does not require labeling of E1, E2, E3 or substrates, and is thus likely compatible with any E1-E2-E3 combinations.

biochemistry↗

bioRxiv2019

N-terminal ubiquitination of amyloidgenic proteins triggers removal of their oligomers by the proteasome holoenzyme

Aggregation of amyloidogenic proteins is an abnormal biological process implicated in neurodegenerative disorders. While the aggregation process of amyloid-forming proteins has been studied extensively, the mechanism of aggregate removal is poorly understood. We recently demonstrated that proteasomes could fragment filamentous aggregates into smaller entities, restricting aggregate size[1]. Here, we show in vitro that UBE2W can modify the N-terminus of both S and tauK18 with a single ubiquitin moiety. We demonstrate that an engineered N-terminal Ub modification changes the aggregation process of both proteins, resulting in the formation of structurally distinct aggregates. Single-molecule approaches further reveal that the proteasome can target soluble oligomers assembled from Ub-modified proteins independent of its peptidase activity, consistent with our recently reported fibril-fragmenting activity. Based on these results, we propose that proteasomes are able to target oligomers assembled from N-terminally ubiquitinated proteins. Our data suggest a possible disassembly mechanism by which N-terminal ubiquitination and the proteasome may together impede aggregate formation.

biochemistry↗

bioRxiv2019

Self-reported sleep duration and daytime napping are associated with renal hyperfiltration and microalbuminuria in apparently healthy Chinese population

BackgroundSleep duration affects health in various way. The objective of this study was to investigate the relationship between sleep duration, daytime napping and kidney function in a middle-aged apparently healthy Chinese population.\n\nMethodsAccording to self-reported total sleep and daytime napping duration, 33,850 participants aged 38 to 90 years old from 8 regional centers were divided into subgroups. Height, weight, waistline, hipline, blood pressure, biochemical index, FBG, PBG, HbA1c, creatinine and urinary albumin-creatinine ratio (UACR) were measured and recorded in each subject. Microalbuminuria was defined as UACR>=30 mg/g, CKD was defined as eGFR<60 ml/min and hyperfiltration was defined as eGFR>=135 ml/min. Multiple logistic regressions were applied to investigate associations between sleep and kidney function.\n\nResultsCompared to participants with [7-8]h/day sleep, ORs of >9 h/day, (8, 9]h/day and <6h/day sleep for microalbuminuria were 1.317 (1.200-1.446, p<0.001), 1.215 (1.123-1.315, p<0.001) and 1.218 (0.967-1.534, p=0.094). eGFR levels were U-shaped associated with sleep duration among subjects with >=90ml/min eGFR, and N-shaped associated with sleep duration among subjects with <90ml/min eGFR. OR of >9h/day sleep for hyperfiltration was 1.400 (1.123-1.745, p=0.003) among eGFR>=90 ml/min participants. Daytime napping had a negative effect on renal health. Compared to participants did not have napping habit, the ORs of (0, 1]h/day, (1, 1.5]h/day and >1.5h/day daytime napping for microalbuminuria were 1.477 (1.370-1.591, p<0.001), 1.217 (1.056, 1.403, p=0.007) and 1.447 (1.242, 1.687, p<0.001).\n\nConclusionsTotal sleep duration are U-shaped associated with renal health outcomes. Daytime napping had a negative effect on renal health.

epidemiology↗

bioRxiv2019

Moraxellaceae and Moraxella interact with the altered airway mycobiome in asthma

Airway microbial-microbial interaction plays an important role in chronic airway inflammatory diseases such as asthma. Moraxella is widely regarded as a human respiratory tract pathogen. We aimed to investigate the interactions among Moraxella, Moraxellaceae (to which Moraxella belongs) and the airway microbiome in asthma. Induced sputum samples were obtained from 116 asthma patients and 29 healthy individuals, and the bacterial/fungal communities were profiled using 16S rRNA and ITS1 DNA gene sequencing. We found that asthma patients harboured significantly greater airway bacterial and fungal -diversity than that of healthy individuals. Moraxellaceae, Moraxella and Moraxella otu19 (bacteria), and Schizophyllaceae, Polyporaceae, Aspergillus, Schizophyllum and Candida (fungi) were increased in the airway of asthma. Moreover, Moraxellaceae, Schizophyllaceae, Polyporaceae and Candida were positively associated with airway fungal -diversity. Correlation networks revealed Moraxellaceae and Moraxella as microbial \"hubs\" in asthma that had significant negative connections with multiple bacterial communities, such as Leptotrichiaceae, Lachnospiraceae, Peptostreptococcaceae, Porphyromonadaceae, Prevotella, Veillonella, Rothia and Leptotrichia, but positive interactions with fungal communities such as Schizophyllaceae, Polyporaceae, Candida and Meyerozyma. Together, our finding revealed an altered microbiome and complex microbial-microbial interactions in the airway of asthma. Moraxellaceae and Moraxella showed significant interactions with the airway mycobiome, providing potential insights into the novel pathogenic mechanisms of asthma.\n\nIMPORTANCEWith the advent of culture-independent techniques, growing evidence suggests that the airway microbiome is closely correlated with chronic respiratory diseases such as asthma. The complex microbial-microbial interaction exists in the airways of both healthy individuals and patients with respiratory diseases, which is of great significance for the pathogenesis and disease progression of asthma. In this study, we evaluated the airway dysbiosis in asthma patients, described the interaction between Moraxellaceae, Moraxella and airway bacterial/fungal communities, and it contributes to further understanding the pathogenic mechanisms of asthma.

microbiology↗

bioRxiv2018

Somatic LINE-1 retrotransposition in cortical neurons of Rett patients and healthy individuals

Mounting evidence supports that LINE-1 (L1) retrotransposition can occur postzygotically in healthy and diseased human tissues, contributing to genomic mosaicism in the brain and other somatic tissues of an individual. However, the genomic distribution of somatic L1Hs (Human-specific LINE-1) insertions and their potential impact on carrier cells remain unclear. Here, using a PCR-based targeted bulk sequencing approach, we profiled 9,181 somatic insertions from 20 postmortem tissues from five Rett patients and their matched healthy controls. We identified and validated somatic L1Hs insertions in both cortical neurons and non-brain tissues. In Rett patients, somatic insertions were significantly depleted in exons--mainly contributed by long genes--than healthy controls, implying that cells carrying MECP2 mutations might be defenseless against a second exonic L1Hs insertion. We observed a significant increase of somatic L1Hs insertions in the brain compared with non-brain tissues from the same individual. Compared to germline insertions, somatic insertions were less sense-depleted to transcripts, indicating that they underwent weaker selective pressure on the orientation of insertion. Our observations demonstrate that somatic L1Hs insertions contribute to genomic diversity and MECP2 dysfunction alters their genomic patterns in Rett patients. Author SummaryHuman-specific LINE-1 (L1Hs) is the most active autonomous retrotransposon family in the human genome. Mounting evidence supports that L1Hs retrotransposition occurs postzygotically in the human brain cells, contributing to neuronal genomic diversity, but the extent of L1Hs-driven mosaicism in the brain is debated. In this study, we profiled genome-wide L1Hs insertions among 20 postmortem tissues from Rett patients and matched controls. We identified and validated somatic L1Hs insertions in both cortical neurons and non-brain tissues, with a higher jumping activity in the brain. We further found that MECP2 dysfunction might alter the genomic pattern of somatic L1Hs in Rett patients.

genomics↗

bioRxiv2018

Membrane potential regulates the dynamic localisation of mammalian proteasomes

Proteasomes are abundant molecular machines distributed throughout the eukaryotic cell to facilitate protein degradation. We previously showed that proteasomes can re-organize and assemble into foci bodies in response to proteotoxic stress1, which we termed transient aggregate-associated droplets (TAADs)2. Here, we use single-molecule localization microscopy to quantify re-organization of mammalian proteasomes in different subcellular regions during proteotoxic stress to engage with invading protein aggregates. We determine that [~]60% of 20S proteasomes are capped by at least one 19S particle, and this ratio remains constant during stress. Using single-particle tracking, we show that cells confine global proteasomal movement when experiencing proteotoxic stress via a cytoskeleton-dependent mechanism. Similar limitations on proteasome movement are also observed upon membrane depolarization and repolarization events by patch clamp, which directly induce proteasomes to move away or towards the plasma membrane, respectively. Together, our experiments reveal distinct modes of proteasome motion dependent on cellular requirements, and propose that proteasome transport is restricted upon aggregate invasion to facilitate their subsequent degradation.

cell biology↗

bioRxiv2018

Combined use of Candida Utilis and Idesia polycarpa var. Vestita Fruit Improve the Production Performance of Laying Quail

Although Idesia polycarpa oil has been wildly explored as a raw material for biodiesel, the reports studying the by-product Idesia polycarpa fruit residues (IPR) are few. This study aimed to evaluate the effect of the Idesia polycarpa fruit residues fermented feed additive (IPFF) on the egg production of laying quails. The egg production and related performances include egg quality, yolk cholesterol, yolk fatty acid, quails jejunum morphology, and relative gene expression were determined in this study. Compared to the standard diet group, birds fed the 1% IPFF showed a higher egg production (87.7% on average, 11.5% above the control; P<0.01). The yolk fatty acid composition and n6/n3 ratio were affected by IPFF or IPR. Compared to the standard diet group, the egg cholesterol content was lower in both IPFF and IPR groups, and the yolk n6/n3 ratio in the 5% IPFF group (10.3; P<0.01) was more reasonable. Meanwhile, birds under IPFF dietary supplement showed a thicker jejunum wall, higher villus, and deeper crypt than the standard diet group. In addition, the altered mRNA expression of four genes involved in cholesterol and fatty acids metabolism (SREBP-1, SREBP-2, ADGL, APOVLDL-II) in the 1% IPFF group and 5% IPR group indicated that the lipids metabolism and transportation were enhanced in the interclavicular fat pad and liver, relative to the standard diet group. HIGHLIGHTSEgg production was higher in IPFF groups Egg cholesterol was lower in IPFF groups Lipid metabolism and transportation was enhanced in IPFF groups Intestine wall was thicker in IPFF groups

microbiology↗

bioRxiv2018

Filamentous aggregates are fragmented by the proteasome holoenzyme

Filamentous aggregates (fibrils) are regarded as the final stage in the assembly of amyloidogenic proteins and are formed in many neurodegenerative diseases. Accumulation of aggregates occurs as a result of an imbalance between their formation and removal. Although there have been numerous studies of the aggregation process in vitro, far fewer studies of aggregate disassembly and degradation are available. Here we use single-aggregate imaging to show that large fibrils assembled from full-length tau are substrates of the 26S proteasome holoenzyme, which fragments them into small aggregates. TEM further revealed that these small aggregate species had no distinct structure. The intact proteasome holoenzyme is required to effectively target fibrils. Interestingly, while degradation of monomeric tau was not inhibited by ATP{gamma}S, fibril fragmentation was predominantly dependent on the ATPase activity of the proteasome. The proteasome holoenzyme was also found to target fibrils assembled from -synuclein (S), suggesting that its fibril fragmenting function may be a general mechanism. The fragmented species produced by the proteasome showed significant toxicity to human cell lines compared to intact fibrils. Together, our results indicate that the proteasome holoenzyme possesses a novel fragmentation function that disassembles large fibrils into smaller and more cytotoxic species.

biophysics↗

bioRxiv2018

An enriched network motif family regulates multistep cell fate transitions with restricted reversibility

Multistep cell fate transitions with stepwise changes of transcriptional profiles are common to many developmental, regenerative and pathological processes. The multiple intermediate cell lineage states can serve as differentiation checkpoints or branching points for channeling cells to more than one lineages. However, mechanisms underlying these transitions remain elusive. Here, we explored gene regulatory circuits that can generate multiple intermediate cellular states with stepwise modulations of transcription factors. With unbiased searching in the network topology space, we found a motif family containing a large set of networks can give rise to four attractors with the stepwise regulations of transcription factors, which limit the reversibility of three consecutive steps of the lineage transition. We found that there is an enrichment of these motifs in a transcriptional network controlling the early T cell development, and a mathematical model based on this network recapitulates multistep transitions in the early T cell lineage commitment. By calculating the energy landscape and minimum action paths for the T cell model, we quantified the stochastic dynamics of the critical factors in response to the differentiation signal with fluctuations. These results are in good agreement with experimental observations and they suggest the stable characteristics of the intermediate states in the T cell differentiation. These dynamical features may help to direct the cells to correct lineages during development. Our findings provide general design principles for multistep cell linage transitions and new insights into the early T cell development. The network motifs containing a large family of topologies can be useful for analyzing diverse biological systems with multistep transitions.\n\nAuthor summaryThe functions of cells are dynamically controlled in many biological processes including development, regeneration and disease progression. Cell fate transition, or the switch of cellular functions, often involves multiple steps. The intermediate stages of the transition provide the biological systems with the opportunities to regulate the transitions in a precise manner. These transitions are controlled by key regulatory genes of which the expression shows stepwise patterns, but how the interactions of these genes can determine the multistep processes were unclear. Here, we present a comprehensive analysis on the design principles of gene circuits that govern multistep cell fate transition. We found a large network family with common structural features that can generate systems with the ability to control three consecutive steps of the transition. We found that this type of networks is enriched in a gene circuit controlling the development of T lymphocyte, a crucial type of immune cells. We performed mathematical modeling using this gene circuit and we recapitulated the stepwise and irreversible loss of stem cell properties of the developing T lymphocytes. Our findings can be useful to analyze a wide range of gene regulatory networks controlling multistep cell fate transitions.

systems biology↗

bioRxiv2018

The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza

1The prediction and characterization of outbreaks of infectious diseases such as influenza remains an open and important problem. This paper describes a framework for detecting and characterizing outbreaks of influenza and the results of testing it on data from ten outbreaks collected from two locations over five years. We model outbreaks with compartment models and explicitly model non-influenza influenza-like illnesses.

epidemiology↗

bioRxiv2018

Preliminary Study of the Potential Mechanism of CTSD in the Aging Process of Sepiella japonica: Fundamental Function Analysis

Cathepsin D, a kind of endopeptidase, can degrade peptides and proteins in lysosomes, which are involved in cell apoptosis. Previous transcriptome analysis of optic glands of Sepiella japonica across four growth stages, expression of a cathepsin D-like segment was found to be significantly different. Based on the complete cDNA sequence of S. japonica, the CTSD gene (also called sjCTSD, GenBank accession no. KY745896.1) was cloned using RACE amplification; this gene is 1389 bp in length and encodes proteins composed of 393 amino acids. Spatio-temporal expression profiles of the sjCTSD gene were determined using qPCR assays, which showed that the expression levels of sjCTSD constantly increased across four growth stages in 9 of 11 tissues that were investigated. In the optic glands, as well as pancreas and liver cells, sjCTSD expression levels sharply increased during the post-spawning phase. To investigate the potential role of the sjCTSD gene in aging progress, we constructed the prokaryotic expression vector of pET28a/sjCTSD. After induced by IPTG, the recombinant protein sjCTSD was obtained in the form of inclusion bodies, with a molecular size of approximately 40.3 kDa, the inclusion body of sjCTSD can be converted to soluble protein through the denaturation and renaturation. The results of functional experiments showed that sjCTSD could degrade bovine hemoglobin under acidic conditions, and inhibit the growth of Escherichia coli and Vibrio alginolyticus, which was speculated that the increased expression of sjCTSD may help inhibit the invasion of pathogenic bacteria with the immune function of cuttlefish declines during the aging process. To a certain extent, these results indicated the potential functional role of the sjCTSD gene in the aging process of S. japonica. This study provides insights to further understand the roles of lysosomal proteins on anti-aging effects in S. japonica and other cephalopoda species.

genetics↗

bioRxiv2018

AICM: A Genuine Framework for Correcting Inconsistency Between Large Pharmacogenomics Datasets

The inconsistency of open pharmacogenomics datasets produced by different studies limits the usage of pharmacogenomics in biomarker discovery. Investigation of multiple pharmacogenomics datasets confirmed that the pairwise sensitivity data correlation between drugs, or rows, across different studies (drug-wise) is relatively low, while the pairwise sensitivity data correlation between cell-lines, or columns, across different studies (cell-wise) is considerably strong. This common interesting observation across multiple pharmacogenomics datasets suggests the existence of subtle consistency among the different studies (i.e., strong cell-wise correlation). However, significant noises are also shown (i.e., weak drug-wise correlation) and have prevented researchers from comfortably using the data directly. Motivated by this observation, we propose a novel framework for addressing the inconsistency between large-scale pharmacogenomics data sets. Our method can significantly boost the drug-wise correlation and can be easily applied to re-summarized and normalized datasets proposed by others. We also investigate our algorithm based on many different criteria to demonstrate that the corrected datasets are not only consistent, but also biologically meaningful. Eventually, we propose to extend our main algorithm into a framework, so that in the future when more data-sets become publicly available, our framework can hopefully offer a \"ground-truth\" guidance for references.

bioinformatics↗

bioRxiv2018

MSTD: an efficient method for detecting multi-scale topological domains from symmetric and asymmetric 3D genomic maps

The chromosome conformation capture (3C) technique and its variants have been employed to reveal the existence of a hierarchy of structures in three-dimensional (3D) chromosomal architecture, including compartments, topologically associating domains (TADs), sub-TADs and chromatin loops. However, existing methods for domain detection were only designed based on symmetric Hi-C maps, ignoring long-range interaction structures between domains. To this end, we proposed a generic and efficient method to identify multi-scale topological domains (MSTD), including cis- and trans-interacting regions, from a variety of 3D genomic datasets. We first applied MSTD to detect promoter-anchored interaction domains (PADs) from promoter capture Hi-C datasets across 17 primary blood cell types. The boundaries of PADs are significantly enriched with one or the combination of multiple epigenetic factors. Moreover, PADs between functionally similar cell types are significantly conserved in terms of domain regions and expression states. Cell type-specific PADs involve in distinct cell type-specific activities and regulatory events by dynamic interactions within them. We also employed MSTD to define multi-scale domains from typical symmetric Hi-C datasets and illustrated its distinct superiority to the-state-of-art methods in terms of accuracy, flexibility and efficiency.

bioinformatics↗