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Biology subjects

Le, T.

Publications and source records attributed to Le, T..

At least 55 records · Page 3Linked to original sources

Transcriptome-wide Analyses of Adipose Tissue in Outbred Rats Reveal Genetic Regulatory Mechanisms Relevant for Human Obesity

Transcriptomic analysis in metabolically active tissues allows a systems genetics approach to identify causal genes and networks involved in metabolic disease. Outbred heterogeneous stock (HS) rats are used for genetic mapping of complex traits, but to-date, a systems genetics analysis of metabolic tissues has not been done. We investigated whether adiposity-associated genes and gene co-expression networks in outbred heterogeneous stock (HS) rats overlap those found in humans. We analyzed RNAseq data from adipose tissue of 415 male HS rats, correlated these transcripts with body weight (BW) and compared transcriptome signatures to two human cohorts: the African American Genetics of Metabolism and Expression and Metabolic Syndrome in Men. We used weighted gene co-expression network analysis to identify adiposity-associated gene networks and mediation analysis to identify genes under genetic control whose expression drives adiposity. We identified 554 orthologous "consensus genes" whose expression correlates with BW in the rat and with body mass index (BMI) in both human cohorts. Consensus genes fell within eight co-expressed networks and were enriched for genes involved in immune system function, cell growth, extracellular matrix organization and lipid metabolic processes. We identified 19 consensus genes for which genetic variation may influence BW via their expression, including those involved in lipolysis (e.g., Hcar1), inflammation (e.g., Rgs1), adipogenesis (e.g., Tmem120b) or no previously known role in obesity (e.g., St14, Msa4a6). Strong concordance between HS rat and human BW/BMI associated transcripts demonstrates translational utility of the rat model, while identification of novel genes expands our knowledge of the genetics underlying obesity.

genomics↗

Mouse models of COVID-19 recapitulate inflammatory pathways rather than gene expression

BACKGROUNDHow well mouse models recapitulate the transcriptional profiles seen in humans remains debatable, with both conservation and diversity identified in various settings. The K18-hACE2 mouse model has been widely used for evaluation of new interventions for COVID-19. METHODHerein we use RNA-Seq data and bioinformatics approaches to compare the transcriptional responses in the SARS-CoV-2 infected lungs of K18-hACE2 mice with those seen in humans. RESULTSOverlap in differentially expressed genes was generally poor ({approx}20-30%), even when multiple studies were combined. The overlap was not substantially improved when a second mouse model was examined wherein hACE was expressed from the mouse ACE2 promoter. In contrast, analyses of immune signatures and inflammatory pathways illustrated highly significant concordances between the species. CONCLUSIONAs immunity and immunopathology are the focus of most studies, these hACE2 transgenic mouse models can thus be viewed as representative and relevant models of COVID-19.

molecular biology↗

A phenotype-based forward genetic screen identifies Dnajb6 as a sick sinus syndrome gene

Sick sinus syndrome (SSS) is a group of heart rhythm disorders caused by malfunction of the sinus node, the hearts primary pacemaker. Partially owing to its aging-associated phenotypic manifestation and low expressivity, molecular mechanisms of SSS remain difficult to decipher. Here, we aim to develop a phenotype-based forward genetic approach in the zebrafish (Danio rerio) animal model for discovering essential genes which dysfunction could result in SSS-like phenotypes. Previously we showed the generation of protein trap library by using a revertible gene-breaking transposon (GBT)-based insertional mutagenesis system. Here, we reported the generation of a collection of 35 zebrafish insertional cardiac lines derived from this protein trap library, which was screened using electrocardiographic measurements. As a result, three mutants with SSS-like phenotypes were identified. We then focused on one of these 3 GBT mutants called GBT411 in which dnajb6b gene was disrupted, and conducted expressional, genetic, transcriptome, and electrophysiological studies using both zebrafish and mouse models. These studies confirmed the identity of Dnajb6 as a novel SSS causative gene with a unique expression pattern within the specialized population of sinus node pacemaker cardiomyocytes that lack the expression of HCN4 channels. Together, this study demonstrates the feasibility of a genetic screening approach in an adult vertebrate animal model for discovering new genetic factors for a heart rhythm disorder such as SSS.

genetics↗

Re-introduction of endogenous pathways for propionyl-CoA, 1-propanol and propionate formation in Escherichia coli

In a previous study, we found that 2-ketobutyrate (2-KB) was seriously degraded in Escherichia coli. In the present investigation, we tried to clarify the products of that degradation process, and intriguingly reconfirmed that 2-KB is chopped up to form propionyl-CoA, 1-propanol and propionate. This short commentary re-introduces efficient endogenous pathways for production of value-added odd-chain compounds such as propionyl-CoA-derived chemicals.

synthetic biology↗

Simultaneous Cardiac and Neurological Monitoring to Assess Chemical Exposures and Drug Toxicity in Xenopus Laevis

Simultaneous monitoring of electrocardiogram (ECG) and electroencephalogram (EEG) under chemical exposure requires innovative engineering techniques that can capture minute physiological changes in studied animal models. However, this is often administered with a bulky system that may cause signal distortions and discomfort for animals. We develop an integrated bioelectronic sensing system to provide simultaneous ECG and EEG assessment in real-time under chemical exposure for Xenopus laevis. The microelectrode array (MEA) membrane with integrated ECG and EEG sensing offers an opportunity to achieve multichannel noninvasive electrophysiological monitoring with favorable dimensions and spatial resolution. To validate the performance of our system, we assessed the ECG and EEG of Xenopus under exposure of Pentylenetetrazol (PTZ), an epilepsy-inducing drug. Effects of PTZ were detected with clear ECG and EEG alterations, including frequent ictal and interictal EEG events, 30 dB average EEG amplitude elevations, abnormal ECG morphology, and heart rate changes. Overall, our Xenopus-based real-time electrophysiology monitoring system holds high potential for many applications in drug screening and remote environmental toxicity monitoring.

physiology↗

Methylothon: a versatile course-based high school research experience in microbiology and bioinformatics-- with pink bacteria

Methylothon is an inquiry-based high school learning module in microbial ecology, molecular biology, and bioinformatics that centers around pink-pigmented plant-associated methylotrophic bacteria. Here we present an overview of the modules learning goals, describe course resources (available for public use on http://methylothon.com), and relate lessons learned from adapting Methylothon for remote learning during the pandemic in spring of 2021. The original in-person version of the module allows students to isolate their own strains of methylotrophic bacteria from plants they sample from the environment, to identify these using PCR, sequencing, and phylogenetic analysis, and to contribute their strains to original research in a university lab. The adapted version strengthens the focus on bioinformatics and increases its flexibility and accessibility by making the lab portion optional and adopting free web-based tools. Student feedback and graded assignments from Spring 2021 revealed that the lesson was especially effective at introducing the concepts of BLAST and phylogenetic trees, and that students valued and felt inspired by the opportunity to conduct hands-on work and to participate in community science.

scientific communication and education↗

Quantitation of human enteric viruses as alternative indicators of fecal pollution to evaluate wastewater treatment processes

We investigated the potential use and quantitation of human enteric viruses in municipal wastewater samples of Winnipeg (Manitoba, Canada) as alternative indicators of contamination and evaluated the processing stages of the wastewater treatment plant. During the fall 2019 and winter 2020 seasons, samples of raw sewage, activated sludge, effluents, and biosolids (sludge cake) were collected from the North End Sewage Treatment Plant (NESTP), which is the largest wastewater treatment plant in the City of Winnipeg. DNA and RNA enteric viruses, as well as the uidA gene found in Escherichia coli were targeted in the samples collected from the NESTP. Total nucleic acids from each wastewater treatment sample were extracted using a commercial spin-column kit. Enteric viruses were quantitated in the extracted samples via quantitative PCR using TaqMan assays. The average gene copies assessed in the raw sewage were not significantly different (p-values ranged between 0.0547 and 0.7986) than the average gene copies assessed in the effluents for Adenovirus and crAssphage (DNA viruses), Pepper Mild Mottle Virus (RNA virus), and uidA in terms of both volume and biomass. A significant reduction of these enteric viruses was observed consistently in activated sludge samples compared with those for raw sewage. Corresponding reductions in gene copies per volume and gene copies per biomass were also seen for uidA but were not statistically significant (p-value = 0.8769 and p-value = 0.6353, respectively). The higher gene copy numbers of enteric viruses and E. coli observed in the effluents may be associated with the 12-hour hydraulic retention time in the facility. Enteric viruses found in gene copy numbers were at least one order of magnitude higher than the E. coli marker uidA. This indicate that enteric viruses may survive the wastewater treatment process and viral-like particles are being released into the aquatic environment. Our results suggest that Adenovirus, crAssphage, and Pepper mild mottle virus can be used as complementary viral indicators of human fecal pollution.

microbiology↗

A Novel Art of Electrocardiogram Assessment in Zebrafish for Cardiovascular Disease Studies and Drug Screening

The zebrafish (Dario rerio) has proven to be an excellent animal model for biological research owing to its small size, low cost for maintenance, short generation time, amenable genetics, and optical transparency. Zebrafish have been extensively used in cardiovascular studies in which mutant lines with cardiovascular defects were introduced and analyzed. Despite the small size, technological advances have paved the way to effectively assess cardiac functions of zebrafish. Here, we present a novel art for long-term simultaneous monitoring and analysis of electrocardiogram (ECG) in multiple zebrafish with controlled environment. The system helps minimize the effect of anesthetic drug and temperature to cardiac rhythm side effects as well as save time and efforts by 40-50 fold compared with the conventional approach. We further employed the system to study the Na+ sensitivity in the development of sinus arrest in Tg(SCN5A-D1275N) fish, a study model of the sick sinus syndrome, as well as the relationship between this variant and drug administration. The novel ECG system developed in this study holds promise to greatly accelerate other cardiovascular studies and drug screening using zebrafish.

bioengineering↗

Anaerobic derivates of mitochondria and peroxisomes in the free-living amoeba Pelomyxa schiedti revealed by single-cell genomics

Pelomyxa schiedti is a free-living amoeba belonging to the group Archamoebae, which encompasses anaerobes bearing mitochondrion-related organelles (MROs) - hydrogenosomes in free-living Mastigamoeba balamuthi and mitosomes in the human pathogen Entamoeba histolytica. Anaerobic peroxisomes, another adaptation to anaerobic lifestyle, were identified only recently in M. balamuthi. We found evidence for both these organelles in the single-cell-derived genome and transcriptome of P. schiedti, and corresponding vesicles were tentatively revealed in electron micrographs. In silico reconstructed MRO metabolism seems similar to that of M. balamuthi harboring respiratory complex II, electron-transferring flavoprotein, partial TCA cycle running presumably in reductive direction, pyruvate:ferredoxin oxidoreductase, [FeFe]-hydrogenases, glycine cleavage system, and sulfate activation pathway. The cell disposes with an expanded set of NIF enzymes for iron sulfur cluster assembly, but their localization remains unclear. Quite contrary, out of 67 predicted peroxisomal enzymes, only four were reported also in M. balamuthi, namely peroxisomal processing peptidase, nudix hydrolase, inositol 2-dehydrogenase, and D-lactate dehydrogenase. Other putative functions of peroxisomes could be pyridoxal 5I-phosphate biosynthesis, amino acid and carbohydrate metabolism, and hydrolase activities. Future experimental evidence is necessary to define functions of this surprisingly enzyme-rich anaerobic peroxisome. Author summaryA major part of the microbial diversity cannot be cultured in isolation, and so it escapes from traditional ways of investigation. In this paper, we demonstrate the successful approach for generating good-quality genome and transcriptome drafts from a peculiar amoeba Pelomyxa schiedti using single-cell methods. P. schiedti is a member of Archamoebae clade harboring microaerobic protists including a free-living Mastigamoeba balamuthi and a human parasite Entamoeba histolytica. Mitochondria and peroxisomes represent two organelles that are most affected during adaptation to microoxic or anoxic environments. Mitochondria are known to transform to anaerobic mitochondria, hydrogenosomes, mitosomes, and various transition stages in between, all of which encompass different enzymatic capacity. Anaerobic peroxisomes have been first noticed in M. balamuthi, but their function remained unclear for now. Data obtained in this study were used for revealing the presence and for the detailed functional annotations of anaerobic derivates of mitochondria and peroxisomes in P. schiedti, which were corroborated by transmission electron microscopy.

evolutionary biology↗

An inconvenient association between granzyme A and Nicotinamide Nucleotide Transhydrogenase

Granzyme A (GzmA) is a serine protease secreted by cytotoxic lymphocytes, with GzmA-/- mouse studies informing our understanding of GzmAs physiological function. We show herein that GzmA-/- mice have a mixed C57BL/6J and C57BL/6N background and retain the full length Nicotinamide Nucleotide Transhydrogenase (Nnt) gene, whereas Nnt is truncated in C57BL/6J mice. Chikungunya viral arthritis was substantially ameliorated in GzmA-/- mice; however, the presence of Nnt, rather than loss of GzmA, was responsible for this phenotype by constraining lymphocyte infiltration. A new CRISPR active site mutant C57BL/6J GzmAS211A mouse provided the first insights into GzmAs bioactivity free of background issues, with circulating proteolytically active GzmA promoting immune-stimulating and pro-inflammatory signatures. Remarkably, k-mer mining of the Sequence Read Archive illustrated that {approx}27% of Run Accessions and {approx}38% of Bioprojects listing C57BL/6J as the mouse strain, had Nnt sequencing reads inconsistent with a C57BL/6J background. The Nnt issue has clearly complicated our understanding of GzmA and may similarly have influenced studies across a broad range of fields.

immunology↗

CD47 as a potential biomarker for the early diagnosis of severe COVID-19

The coronavirus SARS-CoV-2 is the cause of the ongoing COVID-19 pandemic. Most SARS-CoV-2 infections are mild or even asymptomatic. However, a small fraction of infected individuals develops severe, life-threatening disease, which is caused by an uncontrolled immune response resulting in hyperinflammation. Antiviral interventions are only effective prior to the onset of hyperinflammation. Hence, biomarkers are needed for the early identification and treatment of high-risk patients. Here, we show in a range of model systems and data from post mortem samples that SARS-CoV-2 infection results in increased levels of CD47, which is known to mediate immune escape in cancer and virus-infected cells. Systematic literature searches also indicated that known risk factors such as older age and diabetes are associated with increased CD47 levels. High CD47 levels contribute to vascular disease, vasoconstriction, and hypertension, conditions which may predispose SARS-CoV-2-infected individuals to COVID-19-related complications such as pulmonary hypertension, lung fibrosis, myocardial injury, stroke, and acute kidney injury. Hence, CD47 is a candidate biomarker for severe COVID-19. Further research will have to show whether CD47 is a reliable diagnostic marker for the early identification of COVID-19 patients requiring antiviral therapy.

microbiology↗

Talaromyces marneffei promotes M2 polarization of human macrophages by downregulating SOCS3 expression and activating TLR9 pathway

Little is known about how Talaromyces marneffei, a thermally dimorphic fungus that causes substantial morbidity and mortality in Southeast Asia, evades the human immune system. Polarization of macrophages into fungal-inhibiting M1 and fungal-promoting M2 types has been shown to play an important role in the innate immune response against fungal pathogens. This mechanism has not been defined for T. marneffei. Here, we demonstrated that T. marneffei promotes its survival in human macrophages by inducing them towards M2 polarization. Our investigations of the mechanism revealed that T. marneffei infection led to SOCS3 protein degradation by inducing tyrosine phosphorylation, thereby relieving the inhibitory effect of SOCS3 on p-STAT6, a key factor for M2 polarization. Our SOCS3-overexpression experiments showed that SOCS3 is a positive regulator of M1 polarization and plays an important role in limiting M2 polarization. Furthermore, we found that inhibition of TLR9 pathway partially blocked T. marneffei-induced M2 polarization and significantly enhanced the killing activity of macrophages against T. marneffei. Collectively, these results reveal a novel mechanism by which T. marneffei evades the immune response of human macrophages.

microbiology↗

BBrowser: Making single-cell data easily accessible

BioTurings BBrowser is a software solution that helps scientists effectively analyze single-cell omics data. It combines big data with big computation and modern data visualization to create a unique platform where scientists can interact and obtain important biological insights from the massive amounts of single-cell data. BBrowser has three main components: a curated single-cell database, a big-data analytics layer, and a data visualization module. BBrowser is available for download at: https://bioturing.com/bbrowser/download.

bioinformatics↗

Data driven mathematical model of colon cancer progression

Every colon cancer has its own unique characteristics, and therefore may respond differently to identical treatments. Here, we develop a data driven mathematical model for the interaction network of key components of immune microenvironment in colon cancer. We estimate the relative abundance of each immune cell from gene expression profiles of tumors, and group patients based on their immune patterns. Then we compare the tumor sensitivity and progression in each of these groups of patients, and observe differences in the patterns of tumor growth between the groups. For instance, in tumors with a smaller density of naive macrophages than activated macrophages, a higher activation rate of macrophages leads to an increase in cancer cell density, demonstrating a negative effect of macrophages. Other tumors however, exhibit an opposite trend, showing a positive effect of macrophages in controlling tumor size. Although the results indicate that for all patients, the size of the tumor is sensitive to the parameters related to macrophages such as their activation and death rate, this research demonstrates that no single biomarker could predict the dynamics of tumors.

cancer biology↗

Simple rapid in vitro screening method for SARS-CoV-2 anti-virals that identifies potential cytomorbidity-associated false positives

The international SARS-CoV-2 pandemic has resulted in an urgent need to identify new anti-viral drugs for treatment of COVID-19 patients. The initial step to identifying potential candidates usually involves in vitro screening. Here we describe a simple rapid bioassay for drug screening using Vero E6 cells and inhibition of cytopathic effects (CPE) measured using crystal violet staining. The assay clearly illustrated the anti-viral activity of remdesivir, a drug known to inhibit SARS-CoV-2 replication. A key refinement involves a simple growth assay to identify drug concentrations that cause cellular stress or "cytomorbidity", as distinct from cytotoxicity or loss of viability. For instance, hydroxychloroquine shows anti-viral activity at concentrations that slow cell growth, arguing that its purported in vitro anti-viral activity arises from non-specific impairment of cellular activities.

microbiology↗

A Specific Neuroligin3-αNeurexin1 Code Regulates GABAergic Synaptic Function in Mouse Hippocampus

Synapse formation and regulation require interactions between pre- and postsynaptic proteins, notably cell adhesion molecules (CAMs). It has been proposed that the functions of neuroligins (Nlgns), postsynaptic CAMs, rely on the formation of trans-synaptic complexes with neurexins (Nrxns), presynaptic CAMs. Nlgn3 is a unique Nlgn isoform that localizes at both excitatory and inhibitory synapses. However, Nlgn3 function mediated via Nrxn interactions is unknown. Here, we demonstrate that Nlgn3 localizes at postsynaptic sites apposing vesicular glutamate transporter 3-expressing (VGT3+) inhibitory terminals and regulates VGT3+ inhibitory interneuron-mediated synaptic transmission in mouse organotypic slice cultures. Gene expression analysis of interneurons revealed that the Nrxn1+AS4 splice isoform is highly expressed in VGT3+ interneurons as compared with other interneurons. Most importantly, postsynaptic Nlgn3 requires presynaptic Nrxn1+AS4 expressed in VGT3+ interneurons to regulate inhibitory synaptic transmission. Our results indicate that specific Nlgn-Nrxn interactions generate distinct functional properties at synapses.

neuroscience↗

Core binding factor leukemia hijacks T-cell prone PU.1 antisense promoter

Summary paragraphThe blood system serves as a key model for cell differentiation and cancer. It is orchestrated by precise spatiotemporal expression of the hematopoietic master regulator PU.11-4. PU.1 gene expression is regulated through enhancer-promoter interactions within a topologically associated domain (TAD)5,6. PU.1 levels increase during myeloid differentiation while failure to do so results in myeloid leukemia7. In contrast, T-cell differentiation requires PU.1 to be completely switched off8-10. Little is known about the precise mechanisms of PU.1 repression, physiological as in T-cell differentiation, or pathological as in leukemia. Here we demonstrate that the down-regulation of PU.1 mRNA is a dynamic process involving an alternative promoter11 in intron 3 that is induced by RUNX transcription factors driving noncoding antisense transcription. Core binding factor (CBF) fusions, RUNX1-ETO and CBF{beta}-MYH11 in t(8;21) and inv(16) acute myeloid leukemia (AML)12, activate the PU.1 antisense promoter, thus shifting from sense towards antisense transcription and blocking myeloid differentiation. In patients with CBF-AML, we found that an elevated antisense/sense ratio represents a hallmark compared to normal karyotype AML or healthy CD34+ cells. Competitive interaction of the enhancer with the proximal or the antisense promoter are at the heart of differential PU.1 expression during myeloid and T-cell development. Leukemic CBF fusions thus utilize a physiologic mechanism employed by T-cells to decrease sense PU.1 transcription. Our results identify the first example of a sense/antisense promoter competition as a crucial functional switch for gene expression perturbation by oncogenes. This novel basic disease mechanism reveals a previously unknown Achilles heel for future precise therapeutic targeting of oncogene-induced chromatin remodeling.

cancer biology↗

Advancing Divide-and-Conquer Phylogeny Estimation

One of the Grand Challenges in Science is the construction of the Tree of Life, an evolutionary tree containing several million species, spanning all life on earth. However, the construction of the Tree of Life is enormously computationally challenging, as all the current most accurate methods are either heuristics for NP-hard optimization problems or Bayesian MCMC methods that sample from tree space. One of the most promising approaches for improving scalability and accuracy for phylogeny estimation uses divide-and-conquer: a set of species is divided into overlapping subsets, trees are constructed on the subsets, and then merged together using a "supertree method". Here, we present Exact-RFS-2, the first polynomial-time algorithm to find an optimal supertree of two trees, using the Robinson-Foulds Supertree (RFS) criterion (a major approach in supertree estimation that is related to maximum likelihood supertrees), and we prove that finding the RFS of three input trees is NP-hard. We also present GreedyRFS (a greedy heuristic that operates by repeatedly using Exact-RFS-2 on pairs of trees, until all the trees are merged into a single supertree). We evaluate Exact-RFS-2 and GreedyRFS, and show that they have better accuracy than the current leading heuristic for RFS. Exact-RFS-2 and GreedyRFS are available in open source form on Github at github.com/yuxilin51/GreedyRFS.

bioinformatics↗