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Biology subjects

Zhang, C.

Publications and source records attributed to Zhang, C..

At least 955 records · Page 53Linked to original sources

Computational modelling of the long-term effects of brain stimulation on the local and global structural connectivity of epileptic patients

In patients with drug resistant focal epilepsy, targeted weak stimulation of the affected brain regions has been proposed as an alternative to surgery. However, the effectiveness of stimulation as a treatment presents great variation from patient to patient. In this study, brain activity is simulated for a period of one day using a network of Wilson-Cowan oscillators coupled according to diffusion imaging based structural connectivity. We use this computational model to examine the potential long-term effects of stimulation on brain connectivity. Our findings indicate that the overall simulated effect of stimulation is heavily dependent on the excitability of the stimulated regions. Additionally, stimulation seems to lead to long-term effects in the connectivity of secondary (non-stimulated) regions in epileptic patients. These effects are correlated with a worse surgery outcome in some patients, which suggests that long-term simulations could be used as a tool to determine suitability for surgery/stimulation.

neuroscience↗

Importance of Matrix-dimensionality in Regulating the Bone Marrow Hematopoietic Cells Pool

In bone marrow, hematopoietic stem cells (HSCs) and multiple hematopoietic progenitor cells (HPCs) cooperate to differentiate and replenish blood and immune cells. It has long been recognized bone marrow niche parameters interact with hematopoietic stem and progenitor cells (HSPCs) and additional work is required to study niche physical signals controlling cell behavior. Here we presented that important biophysical signals, stiffness and dimensionality, regulating expansion of bone marrow HSPCs. Mice bone marrow derived progenitor cells were cultured in collagen I hydrogel in vitro. We found stiffer 3D matrix promoted the expansion of lineage negative (Lin-) progenitor cells and Lin-Sca-1+c-kit+ (LSK) HSPCs compared to softer hydrogel. Compared with cells cultured in 2D environment, 3D embedded construct had significant advantage on HSPCs expansion, accompanied by increases on myeloid and lymphoid lineage fractions. Bright changes on gene expression were subsequently discovered. According to these data, we concluded that culture matrix dimensionality is an important factor to regulate the behavior of subpopulations in hematopoietic cell pool, which should be considered in attempts to illuminate HSCs fate decision in vitro.\n\nStatement of SignificanceWe would like to submit the enclosed manuscript entitled \"Importance of Niche-dimensionality in Regulating the Bone Marrow Hematopoietic Cells Pool\", which we wish to be considered for publication in Biophysical Journal. Studies about the interaction between HSCs and factors provided by their microenvironment is largely focus on pure perspective of biology. But biophysical factors affecting HSC fate and behavior needs to be further explore. Herein we found ex vivo culture dimensionality affected HSPC expansion. Cell surface marker detection and mRNA expression analysis predicted the changes on myeloid and lymphoid lineage fractions. We hope niche physical signals which we identified will be considered to design HSC biomimetic niches in clinical applications. And we believe that our study will make it interesting to general readers. We deeply appreciate your consideration of our manuscript, and we look forward to receiving comments from the reviewers.

biophysics↗

Mitochondria branch within Alphaproteobacteria

It is well accepted that mitochondria originated from an alphaproteobacterial-like ancestor. However, the phylogenetic relationship of the mitochondrial endosymbiont to extant alphaproteobacteria remains a subject of discussion. The focus of much debate is whether the affiliation between mitochondria and fast-evolving alphaproteobacterial lineages reflects true homology or artifacts. Approaches such as protein-recoding and site-exclusion have been claimed to mitigate compositional heterogeneity between taxa but this comes at the cost of information loss and the reliability of such methods is so far unjustified. Here we demonstrate that site-exclusion methods produce erratic phylogenetic estimates of mitochondrial origin. We applied alternative strategies to reduce phylogenetic noise by taxon replacement and selective exclusion while keeping site substitution information intact. Cross-validation based on a series of trees placed mitochondria robustly within Alphaproteobacteria.

evolutionary biology↗

Allicin regulates energy homeostasis through brown adipose tissue

Background/objectivesDisorder of energy homeostasis can lead to a variety of metabolic diseases, especially obesity. Brown adipose tissue (BAT) is a promising potential therapeutic target for the treatment of obesity and related metabolic diseases. Allicin, a main bioactive ingredient in garlic, has multiple biology and pharmacological function. However, the role of Allicin, in the regulation of metabolic organ, especially the role of activation of BAT, has not been well studied. Here, we analyzed the role of Allicin in whole-body metabolism and the activation of BAT.\n\nResultsAllicin had a significant effect in inhibiting body weight gain, decreasing adiposity, maintaining glucose homeostasis, improving insulin resistance, and ameliorating hepatic steatosis in diet-introduced obesity (DIO) mice. Then we find that Allicin can strongly activate brown adipose tissue (BAT). The activation of brown adipocyte treated with Allicin was also confirmed in mouse primary brown adipocytes.\n\nConclusionAllicin can ameliorate obesity through activating brown adipose tissue. Our findings provide a promising therapeutic approach for the treatment of obesity and metabolic disorders.

molecular biology↗

Diverse noncanonical PAMs recognized by SpCas9 in human cells

The CRISPR/Cas9 system derived from Streptococcus pyogenes (SpCas9) provides unprecedented genome editing capabilities, but the potential for off-target mutations limits its application. In addition to NGG protospacer adjacent motif (PAM), off-target mutations are also associated with noncanonical PAMs, which have not yet been systematically evaluated. Here, we developed a highly sensitive approach that allows systematically analyzing PAM sequences in human cells, and identified multiple alternative PAMs recognized by SpCas9.

bioengineering↗

PRR14 Overexpression Promotes Cell Growth, Epithelial to Mesenchymal Transition and Metastasis of Colon Cancer via the AKT Pathway

BackgroundPRR14 (Proline rich protein 14) was firstly identified for its ability to specify and localize heterochromatin during cell cycle progression. Aberrant expression of PRR14 is associated with the tumorigenesis and progression of lung cancer. However, its involvement in colon cancer remains unknown. Herein, we report the role of PRR14 in colon cancer.\n\nMethodsColon cancer tissue microarray was used to analyze and compare the expression of PRR14 among some clinicopathological characteristics of colon cancer. HCT116 and RKO cells were transfected with siRNA to downregulate PRR14 expression. The roles of PRR14 in proliferation, migration and invasion of the cell lines were determined using cell counting kit-8, colony formation assay, wound healing assay and transwell assays respectively. The expression of PRR14 was measured by using immunofluorescence, qRT- PCR and western blot.\n\nResultsPRR14 was highly expressed in colon cancer tissues, and the expression level was correlated with tumor size, distant metastasis and Tumor Node Metastasis stages. Functional study revealed that downregulation of PRR14 inhibited colon cancer cells growth, migration and invasion. Furthermore, knockdown of PRR14 inhibited epithelial-mesenchymal transition (EMT) process, cell cycle-associated proteins expression and p-AKT level.\n\nConclusionPRR14 may promote the progression and metastasis of colon cancer, and may be a novel prognostic and therapeutic marker for the disease.

cancer biology↗

Differential effects of variations in human P450 oxidoreductase on the aromatase activity of CYP19A1 polymorphisms R264C and R264H

Aromatase (CYP19A1) converts androgens into estrogens and is required for female sexual development and growth and development in both sexes. CYP19A1 is a member of cytochrome P450 family of heme-thiolate monooxygenases located in the endoplasmic reticulum and depends on reducing equivalents from the reduced nicotinamide adenine dinucleotide phosphate via the cytochrome P450 oxidoreductase coded by POR. Both the CYP19A1 and POR genes are highly polymorphic, and mutations in both these genes are linked to disorders of steroid biosynthesis. We have previously shown that R264C and R264H mutations in CYP19A1, as well as mutations in POR, result in a reduction of CYP19A1 activity. The R264C is a common polymorphic variant of CYP19A1, with high frequency in Asian and African populations. Polymorphic alleles of POR are found in all populations studied so far and, therefore, may influence activities of CYP19A1 allelic variants. So far, effects of variations in POR on enzymatic activities of allelic variants of CYP19A1 or any other steroid metabolizing cytochrome P450 proteins have not been studied. Here we are reporting the effects of three POR variants on the aromatase activities of two CYP19A1 variants, R264C and R264H. We used bacterially expressed and purified preparations of WT and variant forms of CYP19A1 and POR and constructed liposomes with embedded CYP19A1 and POR proteins and assayed the CYP19A1 activities using radiolabeled androstenedione as a substrate. With the WT-POR as a redox partner, the R264C-CYP19A1 showed only 15% of aromatase activity, but the R264H had 87% of aromatase activity compared to WT-CYP19A1. With P284L-POR as a redox partner, R264C-CYP19A1 lost all activity but retained 6.7% of activity when P284T-POR was used as a redox partner. The R264H-CYP19A1 showed low activities with both the POR-P284L as well as the POR-P284T. When the POR-Y607C was used as a redox partner, the R264C-CYP19A1 retained around 5% of CYP19A1 activity. Remarkably, The R264H-CYP19A1 had more than three-fold higher activity compared to WT-CYP19A1 when the POR-Y607C was used as the redox partner, pointing towards a beneficial effect. The slight increase in activity of R264C-CYP19A1 with the P284T-POR and the three-fold increase in activity of the R264H-CYP19A1 with the Y607C-POR point towards a conformational effect and role of protein-protein interaction governed by the R264C and R264H substitutions in the CYP19A1 as well as P284L, P284T and Y607C variants of POR. These studies demonstrate that the allelic variants of P450 when present with a variant form of POR may show different activities, and combined effects of variations in both the P450 enzymes as well as in the POR should be considered when genetic data are available. Recent trends in the whole-exome and whole-genome sequencing as diagnostic tools will permit combined evaluation of variations in multiple genes that are interdependent and may guide treatment options by adjusting therapeutic interventions based on laboratory analysis.

biochemistry↗

MOBN: an interactive database of multi-omics biological networks

It is essential to reveal the associations between different omics data for a comprehensive understanding of the altered biological process in human wellness and disease. To date, very few studies have focused on collecting and exhibiting multi-omics associations in a single database. Here, we present iNetModels, an interactive database and visualization platform of Multi-Omics Biological Networks (MOBNs). This platform describes the associations between the clinical chemistry, anthropometric parameters, plasma proteomics and metabolomics as well as metagenomics for oral and gut microbiome obtained from the same individuals. Moreover, iNetModels includes tissue- and cancer-specific Gene Co-expression Networks (GCNs) for exploring the connections between the specific genes. This platform allows the user to interactively explore a single feature's association with other omics data and customize its particular context (e.g. male/female specific). The users can also register their own data for sharing and visualization of the MOBNs and GCNs. Moreover, iNetModels allows users who do not have a bioinformatics background to facilitate human wellness and diseases research. iNetModels can be accessed freely at https://inetmodels.com without any limitation.

bioinformatics↗

RMetD2: a tool for integration of relative transcriptomics data into Genome-scale metabolic models

Relative Metabolic Differences version 2 (RMetD2) is a tool for integration of differentially expressed (DE) genes into genome-scale metabolic models (GEMs) for revealing the altered metabolism between two biological conditions. This method provides a robust evaluation of the metabolism by using flux ranges instead of a single set of flux distributions. RMetD2 classifies reactions into three different groups, namely up-regulated, down-regulated and unchanged, which enables systematic interpretation of the metabolic differences between two different conditions. We employed this method in three different case studies using mice and human datasets, and compared it with state-of-the-art methods used for studying condition-specific metabolic differences using GEMs. We observed that RMetD2 is capable of capturing experimentally-observed features that are missed by other methods, highlighting its potential use in biotechnology and systems medicine applications. RMetD2 is implemented in Matlab and it is available without any limitation at https://sourceforge.net/projects/rmetd.

bioinformatics↗

TeXP: Deconvolving the effects of pervasive and autonomous transcription of transposable elements

Long interspersed nuclear element 1 (LINE-1) is a primary source of genetic variation in humans and other mammals. Despite its importance, LINE-1 activity remains difficult to study because of its highly repetitive nature. Here, we developed and validated a method called TeXP to gauge LINE-1 activity accurately. TeXP builds mappability signatures from LINE-1 subfamilies to deconvolve the effect of pervasive transcription from autonomous LINE-1 activity. In particular, it apportions the multiple reads aligned to the many LINE-1 instances in the genome into these two categories. Using our method, we evaluated well-established cell lines, cell-line compartments and healthy tissues and found that the vast majority (91.7%) of transcriptome reads overlapping LINE-1 derive from pervasive transcription. We validated TeXP by independently estimating the levels of LINE-1 autonomous transcription using ddPCR, finding high concordance. Next, we applied our method to comprehensively measure LINE-1 activity across healthy somatic cells, while backing out the effect of pervasive transcription. Unexpectedly, we found that LINE-1 activity is present in many normal somatic cells. This finding contrasts with earlier studies showing that LINE-1 has limited activity in healthy somatic tissues, except for neuroprogenitor cells. Interestingly, we found that the amount of LINE-1 activity was associated with the with the amount of cell turnover, with tissues with low cell turnover rates (e.g. the adult central nervous system) showing lower LINE-1 activity. Altogether, our results show how accounting for pervasive transcription is critical to accurately quantify the activity of highly repetitive regions of the human genome.\n\nAuthor SummaryRepetitive sequences, such as LINEs, comprise more than half of the human genome. Due to their repetitive nature, LINEs are hard to grasp. In particular, we find that pervasive transcription is a major confounding factor in transcriptome data. We observe that, on average, more than 90% of LINE signal derives from pervasive transcription. To investigate this issue, we developed and validated a new method called TeXP. TeXP accounts and removes the effects of pervasive transcription when quantifying LINE activity. Our method uses the broad distribution of LINEs to estimate the effects of pervasive transcription. Using TeXP, we processed thousands of transcriptome datasets to uniformly, and unbiasedly measure LINE-1 activity across healthy somatic cells. By removing the pervasive transcription component, we find that (1) LINE-1 is broadly expressed in healthy somatic tissues; (2) Adult brain show small levels of LINE transcription and; (3) LINE-1 transcription level is correlated with tissue cell turnover. Our method thus offers insights into how repetitive sequences and influenced by pervasive transcription. Moreover, we uncover the activity of LINE-1 in somatic tissues at an unmatched scale.

bioinformatics↗

Insights into the stability of a therapeutic antibody Fab fragment by molecular dynamics and its stabilization by computational design

Successful development of protein therapeutics depends critically on achieving stability under a range of conditions, while retaining their specific mode of action. Gaining a deeper understanding of the drivers of instability across different stress conditions, will potentially enable the engineering of protein scaffolds that are inherently manufacturable and stable. Here, we compared the structural robustness of a humanized antibody fragment (Fab) A33 using atomistic molecular dynamics simulations under two different stresses of low pH and high temperature. RMSD calculations, structural alignments and contact analysis revealed that low pH unfolding was initiated through loss of contacts at the constant domain interface (CL-CH1), prior to CL domain unfolding. By contrast, thermal unfolding began with loss of contacts in both the CL-CH1 and variable domain interface (VL-VH), followed by domain unfolding of CL and also of VH, thus revealing divergent unfolding pathways. FoldX and Rosetta both agreed that mutations at the CL-CH1 interface have the greatest potential for increasing the stability of Fab A33. Additionally, packing density calculations found these residues to be under-packed relative to other inter-domain residues. Two salt bridges were identified that possibly drive the conformational change at low pH, while at high temperature, salt bridges were lost and reformed quickly, and not always with the same partner, thus contributing to an overall destabilization. Sequence entropy analysis of existing Fab sequences revealed considerable scope for further engineering, where certain natural mutations agreed with FoldX and Rosetta predictions. Lastly, the unfolding events at the two stress conditions exposed different predicted aggregation-prone regions (APR), which would potentially lead to different aggregation mechanisms. Overall, our results identified the early stages of unfolding and stability-limiting regions of Fab A33, which provide interesting targets for future protein engineering work aimed at stabilizing to both thermal and pH-stresses simultaneously.\n\nAuthor SummaryCurrently, antibody-based products are the most rapidly growing class of pharmaceuticals due to their high specificity towards their targets, such as biomarkers on the surface of cancer cells. However, they tend to aggregate at all stages of product development, which leads to decreased efficiency and could elicit an immunological response. Improvements in the stability of therapeutic antibodies are generally made during the development phase, by trial and error of the composition of the formulated product, which is both costly and time consuming. There is great demand and potential for identifying the drivers of instability across different stress conditions, early in the discovery phase, which will enable the rational engineering of protein scaffolds. This work elucidated the stability-limiting regions of the antibody fragment Fab A33 using several computational tools: atomistic molecular dynamics simulations, in-silico mutational analysis by FoldX and Rosetta, packing density calculators, analysis of existing Fab sequences and predictors of aggregation-prone regions. Results identified particular regions in which mutagenesis has the potential to stabilize Fab against both thermal and pH-stresses simultaneously. Overall, the methodology used here could improve the developability screening of candidate antibody products for many diseases, such as cancer, chronic inflammatory diseases and infectious diseases.

biophysics↗

Copper Blocks V-ATPase Activity and SNARE Complex Formation to Inhibit Yeast Vacuole Fusion

The accumulation of Copper in organisms can lead to altered functions of various pathways, and become cytotoxic through the generation of reactive oxygen species. In yeast, cytotoxic metals such as Hg+, Cd2+, and Cu2+ are transported into the lumen of the vacuole through various pumps. Copper ions are initially transported into the cell by the copper transporter Ctr1 at the plasma membrane and sequestered by chaperones and other factors to prevent cellular damage by free cations. Excess copper ions can subsequently be transported into the vacuole lumen by an unknown mechanism. Transport across membranes requires the reduction of Cu2+ to Cu+. Labile copper ions can interact with membranes to alter fluidity, lateral phase separation and fusion. Here we found that CuCl2 potently inhibited vacuole fusion by blocking SNARE pairing. This was accompanied by the inhibition of V-ATPase H+ pumping. Deletion of the vacuolar reductase Fre6 had no effect on the inhibition of fusion by copper. This suggests that that Cu2+ is responsible for the inhibition of vacuole fusion and V-ATPase function. This notion is supported by the differential effects chelators. The Cu2+-specific chelator TETA rescued fusion, whereas the Cu+-specific chelator BCS had no effect on the inhibited fusion.

biochemistry↗

Knocking out non-muscle myosin II in retinal ganglion cells promotes long-distance optic nerve regeneration

In addition to altered gene expression, pathological cytoskeletal dynamics in the axon are another key intrinsic barrier for axon regeneration in the central nervous system (CNS). Here we showed that knocking out myosin IIA/B in retinal ganglion cells alone either before or after optic nerve crush induced marked and sustained optic nerve regeneration. Combined Lin28 overexpression and myosin IIA/B knockout led to synergistic promoting effect and long-distance axon regeneration. Immunostaining, RNA-seq and western blot analyses revealed that myosin II deletion did not affect known axon regeneration signaling pathways or the expression of regeneration associated genes. Instead, it abolished the retraction bulb formation and significantly enhanced the axon extension efficiency. The study provided clear evidence that directly targeting neuronal cytoskeleton was sufficient to induce strong CNS axon regeneration, and combining gene expression in the soma and modified cytoskeletal dynamics in the axon was a promising approach for long-distance CNS axon regeneration.

neuroscience↗

The Catalytic Core of DEMETER Guides Active DNA Demethylation in Arabidopsis

The Arabidopsis DEMETER (DME) DNA glycosylase demethylates the maternal genome in the central cell prior to fertilization, and is essential for seed viability. DME preferentially targets small transposons that flank coding genes, influencing their expression and initiating plant gene imprinting. DME also targets intergenic and heterochromatic regions, and how it is recruited to these differing chromatin landscapes is unknown. The C-terminal DME catalytic core consists of three conserved regions required for catalysis in vitro. We show that the catalytic core of DME guides active demethylation at endogenous targets, rescuing the developmental and genomic hypermethylation phenotypes of DME mutants. However, without the N-terminus, heterochromatin demethylation is significantly impeded, and abundant CG-methylated genic sequences are ectopically demethylated. We used comparative analysis to reveal that the conserved DME N-terminal domains are only present in the flowering plants, whereas the domain architecture of DME-like proteins in non-vascular plants mainly resembles the catalytic core, suggesting that it might represent the ancestral form of the 5mC DNA glycosylase found in all plant lineages. We propose a bipartite model for DME protein action and suggest that the DME N-terminus was acquired late during land plant evolution to improve specificity and facilitate demethylation at heterochromatin targets.

plant biology↗

Normal development and fertility of Fut1, Fut2, and Sec1 triple knockout mice

The fucose alpha(1,2) galactose structure (H antigen) is synthesized by 1,2 fucosyltransferases Fut1, Fut2 and Sec1. H antigen has been reported to be involved in cancer progression, neurite migration, synaptic plasticity, host-microbe interaction, blastocyst implantation, and the maintenance of gut microbiome. Genetic depletion of Fut1 or Fut2 only cause defects of alpha1,2 fucosylation in limited tissues because of enzyme redundancy. In this study, we generated mice with deficiencies in Fut1, Fut2, and Sec1 genes to deplete H antigen through BAC Engineering for the generation of ES Cell-Targeting construct. The homogenous triple knockout mice showed no significant decrease of viability or development. Mass spectrometry and Western blot analysis confirmed the absence of H blood group antigen in multiple organs. These results indicate normal development and fertility of mice devoid of blood group H. The fine pathophysiological alterations in these mice remain to be carefully studied, and they may serve as valuable tools to study gut microbiome and host-microbe interactions.

biochemistry↗

Discovery of functional alternatively spliced PKM transcripts in human cancers

The association of pyruvate kinase muscle type (PKM) with survival of cancer patients is controversial. Here, we focus on different transcripts of PKM and investigate the association between their mRNA expression and the clinical survival of the patients in 25 different cancers. We find that the transcript encoding PKM2, and three other functional transcripts are prognostic in multiple cancers. Our integrative analysis shows that the functions of these four transcripts are highly conservative in different cancers. Next, we validate the prognostic effect of these transcripts in an independent kidney renal clear-cell carcinoma (KIRC) cohort and identify a prognostic signature which could distinguish high- and low-risk KIRC patients. Finally, we reveal the functional role of alternatively spliced PKM transcripts in KIRC, and discover the protein products of different transcripts of PKM. Our analysis demonstrated that alternatively spliced transcripts of not only PKM but also other genes should be considered in cancer studies, since it may enable the discovery and targeting of the right protein product for development of the efficient treatment strategies.

systems biology↗

Single-Cell Data Analysis Using MMD VariationalAutoencoder

AO_SCPLOWBSTRACTC_SCPLOWVariational Autoencoder (VAE) is a generative model from the computer vision community; it learns a latent representation of images and generates new images in an unsupervised way. Recently, Vanilla VAE has been applied to single-cell data analysis, in the hope of harnessing the representation power of latent space to evade the \"curse of dimensionality\" of the original dataset. However, Vanilla VAE is suffering from the issue of less informative latent space, which raises a question concerning the reliability of Vanilla VAE latent space in representing the high-dimensional single-cell datasets. Therefore I set up such a study to examine this issue from the multiple perspectives.\n\nThis paper confirms the issue of Vanilla VAE by comparing it with MMD-VAE, a variant of VAE which has claimed to have overcome this issue based on image data, across a series of single-cell RNAseq and mass cytometry datasets. The result indicates that MMD-VAE is superior to Vanilla VAE in retaining the information not only in the latent space but also the reconstruction space, which suggests that MMD-VAE be a better option for single-cell data analysis than Vanilla VAE.

bioinformatics↗

Signalling involving MET and FAK supports cell division independent of the activity of the cell cycle-regulating CDK4/6 kinases

Deregulation of the cyclin-dependent kinases 4 and 6 (CDK4/6) is highly prevalent in cancer yet inhibitors against these kinases currently show use in restricted tumour contexts. The extent to which cancers depend on CDK4/6 and what may undermine such dependency is poorly understood. Here we report that signalling engaging the MET proto-oncogene receptor tyrosine kinase/focal adhesion kinase (FAK) axis leads to CDK4/6-independent CDK2-activation, involving as a critical mechanistic events loss of the CDK inhibitor p21CIP1 and gain of its regulator, the ubiquitin ligase subunit SKP2. Combined inhibition of MET/FAK and CDK4/6 eliminates proliferation capacity of cancer cells in culture, and enhances tumour growth inhibition in vivo. Activation of the MET/FAK axis is known to arise through cancer extrinsic and intrinsic cues. Our work predicts that such cues support cell division independent of the activity of the cell cycle-regulating CDK4/6 kinases and identifies MET/FAK as a tractable route to broaden the utility of CDK4/6 inhibitor-based therapies in the clinic.

cancer biology↗