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Gui, J.

Publications and source records attributed to Gui, J..

At least 19 recordsLinked to original sources

Enhanced Target Binding by Leritrelvir Restores Dimerization of Mpro Mutants and Mitigates Drug Resistance

The SARS-CoV-2 main protease (Mpro) has been a major target of antiviral drug development, leading to the development of inhibitors such as nirmatrelvir, the antiviral component of the COVID-19 drug Paxlovid. However, resistance-associated mutations that reduce the efficacy of current Mpro inhibitors, particularly nirmatrelvir, have emerged. Here, we evaluated the inhibitory activity of leritrelvir (RAY1216), an Mpro inhibitor approved in China for COVID-19 monotherapy, against a panel of Mpro variants carrying mutations at 12 resistance-associated residues distributed across four catalytic subsites. Using integrated biochemical, biophysical, structural, and cellular analyses, we demonstrate that leritrelvir retains stronger inhibitory activity against most tested resistant mutants compared with nirmatrelvir. Most of the tested mutations promote Mpro dimer dissociation, with E166V showing a particularly pronounced effect and markedly compromising nirmatrelvir binding. In contrast, thermal shift and size-exclusion chromatography assays demonstrate that leritrelvir binding restores dimerization of these Mpro mutants. Sixteen high-resolution crystal structures reveal that leritrelvir binding re-instates key dimer-interface interactions disrupted by resistance mutations. Mini-replicon assays further confirm leritrelvir to possess enhanced cellular antiviral efficacy compared with nirmatrelvir. Our findings indicate that tighter leritrelvir binding enables more effective inhibition of dissociation-prone Mpro mutants than nirmatrelvir, supporting its use as a more resilient antiviral agent for SARS-CoV-2 treatment.

molecular biology↗

Reaction-enabled, highly sensitive super-resolution imaging

Super-resolution microscopy breaking the optical diffraction limit has led to success in illuminating the complexity of biology with fluorescence--light-excited luminescence1,2. Here, we propose another approach for super-resolution imaging with electrochemiluminescence (ECL)--reaction-excited luminescence3,4. While featuring high sensitivity in molecular analytics owing to its laser-free excitation, the current reaction-driven imaging suffers from limited resolution due to low photon budget4. Efficient ECL imaging of intracellular organelles remains elusive. To meet this challenge, we develop RIED (Reaction-based super-resolution Imaging via Entropy-weighted correlation combined with Deconvolution), which builds upon two pivotal advancements: (i) unprecedented ECL intracellular organelles imaging through a 1,000-fold enhancement in ECL emission, and (ii) the super-resolution ECL imaging by the spatiotemporal acquisition and efficient utilization of highly dynamic ECL profiles. RIED allows for the first three-dimensional super-resolution ECL imaging with a spatial resolution of {bsim}97 nm in the lateral dimension and {bsim}235 nm in the axial dimension. This allows to reveal outer mitochondrial membrane topology and distinct microtubule organizations in different mitosis phases, offering a chemistry-based imaging capability for high-throughput imaging and highly sensitive interfacial imaging, which provides a new dimension into biology.

biochemistry↗

Intermediate tissue oxygen level is required to observe murine FLASH skin sparing

ObjectiveThis study evaluated the hypothesis that baseline tissue oxygen (pO2) would modulate FLASH toxicity sparing in murine skin, using a wide range of pO2 values, with ultra-high dose rate (UHDR) versus conventional dose rate (CDR) irradiation. ApproachMurine leg tissue pO2 was systematically varied and measured during irradiation from a FLASH Mobetron 9 MeV linac at 25 Gy, comparing UHDR ({approx}240 Gy/s) to CDR ({approx}0.16 Gy/s), for radiation induced skin toxicity outcomes. Baseline tissue pO2 was systematically modulated in 5 different treatment cohorts, using different ranges of inhaled gas (room air, 100% oxygen, or carbogen) and through varying limb vascular compression (partial or full). Radiolytic oxygen consumption, gO2 (mmHg/Gy), was quantified in vivo, and induced macroscopic skin toxicity was scored daily post treatment. Main ResultsFLASH skin sparing was observed at a fixed dose of 25 Gy in groups with partial leg clamping (pO2{approx}7{+/-}4mmHg), inhaled air (pO2{approx}12{+/-}6mmHg) and 100% oxygen (pO2{approx}16{+/-}4mmHg), while reduction in ulceration progression was significant only in the air inhalation group. No FLASH effect was observed under anoxic conditions, via complete blood flow occlusion (pO2{approx}0{+/-}1mmHg), or when modulated by inhaled carbogen (pO2{approx}21{+/-}7mmHg). In vivo measurements of radiolytic oxygen consumption, gO2, correlated to initial pO2 under UHDR conditions (pO2{approx}4-16mmHg), with ulceration predominantly occurring at pO2 values above 16mmHg. Inspired carbogen induced the highest pO2 at which point there was no FLASH sparing, for any dose groups between 25 to 15 Gy, despite having large changes in damage with dose. At the specific dose level of 25 Gy studied, the toxicity scores under anoxia for both UHDR and CDR were low (toxicity scores < 1) with no differences observed. SignificanceThese findings point to the fact that moderate and low tissue pO2 is associated with diminished oxygen-mediated damage at UHDR but not CDR, seen with inspired room air or 100% oxygen. Anoxic and hyperoxic murine skin are associated with minimal and maximal radiation damage respectively, but also exhibit no apparent FLASH toxicity sparing effect, with further investigation warranted into if the FLASH toxicity sparing effect persists at higher doses under anoxia.

cancer biology↗

High-throughput 3D super-resolution ultrasound imaging

Capturing fast hemodynamics in deep organs is essential for understanding microvascular regulation of organ responses to physiological demands and pathological stress. However, non-invasive three-dimensional (3D) imaging of these microscale processes remains challenging due to trade-offs between spatial resolution, imaging speed, and penetration depth. Here, we present fluctuation-based high-order super-resolution acoustic microscope (FLAME), a tracking-free 3D ultrasound imaging technology capable of fast microvascular angiography and flow measurement. Using as few as 30 volumes, FLAME improves 3D ultrasound resolution by 8-fold ([~]50 m) and shortens data acquisition time by over two orders of magnitude, from tens of seconds to tens of milliseconds, compared with conventional tracking-based super-resolution approaches1-6. This high-throughput capability supports high-fidelity imaging of tissue functions under flexible experimental settings. FLAME achieves an unprecedented 3D super-resolution frame rate of [~]40 Hz, capturing transient hemodynamic responses to various physiological and pathological stimuli in different mouse organs, from the microvascular level to the whole-body scale. With open-sourced implementation, FLAME provides an accessible platform for real-time, in-depth hemodynamic monitoring across diverse biomedical applications and clinical translation.

bioengineering↗

Optimizing Protocols for MicroRNA Profiling of Infant and Toddler Stool

BackgroundMicroRNAs (miRNAs) are increasingly being investigated as potential biomarkers for child development and disease. Although a growing number of studies are utilizing infant and toddler stool for transcriptomic analyses, no studies have compared protocols for preserving and extracting miRNAs from this specimen type, despite unique challenges, including abundant levels of RNAses and microbial RNA. MethodsTo address this, we first compared three commercially available kits and four preservation methods for their ability to yield high quality RNA from infant and toddler stool (Phase 1). RNA quality was determined by fragment analyzer. ResultsOf the three RNA extraction kits compared, Zymo BIOMICs yielded the highest overall RNA Quality Number (RQN) (median (range) RQN 9.4 (5.7-10.0)). Of the four preservation methods tested, stool collected in RNAlater and Zymo DNA/RNA Shield Fecal Collection Tubes yielded the highest two RQNs (median (range) RQN 9.8 (5.7-10.0) and 9.4 (5.4-10.0), respectively), which did not differ significantly from each other (p = 0.47). Second, using miRNA-seq we directly compared miRNA profiles for RNA extracted using the Zymo BIOMICs kit from paired aliquots of the same stool sample from four infants collected into RNAlater and Zymo DNA/RNA Shield Fecal Collection Tubes (Phase 2). Given that microbial sequences greatly outnumber human miRNAs in stool, reads were first classified as human versus microbial prior to aligning human-classified reads to miRBase v22.1. The percentage of reads classified as human and the percentage of human reads aligning to miRBase did not differ for samples collected in RNAlater versus Zymo Shield (p = 0.12 and p = 0.86, respectively). Furthermore, after multiple testing correction, normalized miRNA counts did not differ significantly between the two preservatives for any of the 42 human miRNAs detected across the eight samples. ConclusionsCollecting infant and toddler stool in either RNAlater or Zymo DNA/RNA Shield Fecal Collection Tubes, when paired with RNA extraction using the Zymo BIOMICs extraction kit, yielded high-quality RNA with similar human miRNA profiles. Moreover, of the 42 miRNAs that were detected, several (i.e., miR-194a-3p, miR-200c-3p, miR-26a-5p) are thought to contribute to overall gut homeostasis. These findings may inform protocols for future studies that aim to profile miRNAs in infant and toddler stool to evaluate their potential utility as biomarkers for childrens health.

developmental biology↗

Cancer-associated adipocytes mediate CD8+T cell dysfunction via FGF21-driven lipolysis

Cancer-associated adipocytes (CAAs) reprogram metabolic status of tumor microenvironment (TME). The metabolic crosstalk between CAAs and CD8+T cells in TME remains unclear. Here we report that CAAs undergo lipolysis, releasing free fatty acids that promote lipid peroxidation and disturb mitochondrial homeostasis in CD8+T cells, leading to their functional exhaustion. Importantly, we uncover that fibroblast growth factor 21 (FGF21) autocrinally drives CAA lipolysis through upregulating adipose triglyceride lipase (ATGL) via FGFR1/KLB-p38 signaling. FGF21 deletion in adipose tissue or ATGL inhibition impedes CAA lipolysis, mitigates lipid peroxidation, normalizes mitochondrial dynamics of CD8+T cells, and restores their effector function, consequently blunting tumor growth. Moreover, combining ATGL inhibitor with anti-PD-1 therapy synergistically enhances the antitumor activity of CD8+T cells, yielding greater therapeutic efficacy. Our findings highlight the pivotal role of CAA lipol ysis in CD8+T cell dysfunction within TME, suggesting that targeting CAA lipolysis represents a valuable avenue for improving cancer immunotherapy.

cancer biology↗

Two distinct waves of transcriptome and translatome remodelling drive germline stem cell differentiation

Development and tissue maintenance require a supply of new cells, which are generated by division of stem cells and then specialised to perform their function. The differentiation process requires the tight control of gene expression, but this has been challenging to study in a systematic manner in adult stem cells, which are sparsely distributed in tissues. We have overcome these limitations by establishing a robust protocol to synchronise Drosophila female germline stem cell (GSC) differentiation in vivo, allowing us to perform transcriptome and translatome analyses at high temporal resolution during differentiation. As well as observing dynamic changes in mRNA level, promoter usage and exon inclusion, our data reveal that changing translation efficiency is the predominant regulatory mechanism during GSC differentiation. Indeed, changes in mRNA level are frequently buffered by changes in translation efficiency, including the translational repression of transcripts that will only be translated later during oocyte maturation or embryo development. Contrary to the expected linear accumulation of changes from stem cell to differentiated cell, our data reveal that differentiation occurs through two distinct waves of changes in both the transcriptome and translatome level.

developmental biology↗

Psychedelics enhance the effects of brain stimulation in rodents

BackgroundPsychedelic drugs have resurged in neuroscience and psychiatry with promising success in psychedelic-assisted therapy for the treatment of anxiety, depression, and addiction. At the cellular level, psychedelic drugs elicit neuroplastic processes 24 hours after administration, priming neural circuits for change. The acute effects of psychedelic drugs are well characterized with functional imaging and neural oscillations showing an increase in the entropy of spontaneous cortical activity. HypothesesWe hypothesized that cortical-striatal oscillations recorded in rats would confirm the effects of psychedelic drugs. We also hypothesized that brain stimulation delivered 24 hours after LSD administration would lead to different effects than brain stimulation alone. MethodsWe recorded local field potential (LFP) oscillations from rats following lysergic acid diethylamide (LSD) or saline administration and determined if exposure to these treatments altered the effect of a targeted intervention (brain stimulation) 24 hours later. ResultsWe confirmed acutely decreased low frequency power across the brain when rats are given LSD. We also demonstrated these altered states return to baseline after 24 hours. Brain stimulation applied in the previously reported window of heightened neuroplasticity produced distinct shifts in brain state compared to brain stimulation applied 24 hours after saline. ConclusionsDespite the acute effects of LSD disappearing after 24 hours, there are still latent effects that interact with brain stimulation to create larger and distinct changes in brain activity compared to brain stimulation alone. Our proof-of-concept findings are the first to suggest that psychedelic drugs could work in combination with brain stimulation to achieve enhanced effects on brain activity and future work will assess impacts on stimulation induced changes in behavior.

neuroscience↗

Identifying Microbial Interaction Networks Based on Irregularly Spaced Longitudinal 16S rRNA sequence data

The microbial interactions within the human microbiome are complex and temporally dynamic, but few methods are available to model this system within a longitudinal network framework. Based on general longitudinal 16S rRNA sequence data, we propose a stationary Gaussian graphical model (SGGM) for microbial interaction networks (MIN) which can accommodate the possible correlations between the high-dimensional observations. For SGGM, an EM-type algorithm is devised to compute the L1-penalized maximum likelihood estimate of MIN which employs the classic graphical LASSO algorithm as the building block and can therefore be implemented easily. Simulation studies show that the proposed algorithms can significantly outperform the conventional algorithms when the correlations between measurements grow large. The algorithms are then applied to a real 16S rRNA gene sequence data set for gut microbiome. With the estimated MIN in hand, module-preserving permutation test is proposed to test the independence of the MIN and the corresponding phylogenetic tree. The results demonstrate strong evidence of an association between the MIN and the phylogenetic tree which indicates that the genetically related taxa tend to have more/stronger interactions. The proposed algorithms are implemented in R package lglasso at https://CRAN.R-project.org/package=lglasso.

bioinformatics↗

Intercellular alignment of apical-basal polarity coordinates tissue homeostasis and growth

Maintaining apicobasal polarity (ABP) is crucial for epithelial integrity and homeostasis during tissue development. Although recent studies have greatly advanced our understanding of intracellular mechanisms underlying ABP establishment, it remains largely unknown how the ABP is regulated at the tissue level. Here, we address intercellular mechanisms coordinating ABP using the Drosophila wing imaginal disc. By studying Scribble, a key ABP determinant, we show that ABP is regulated through intercellular alignment, which takes place either progressively or regressively in a context-dependent manner. Cells expressing wild type scribble progressively restore ABP in scribble hypomorphic mutant cells. In contrast, cells with conditional scribble knockdown instigate the regressive loss of polarity in abutting wild type cells. Our data reveal that genetic and physical interactions between Scribble, Septate junction complex and -Catenin appear to be key for sustaining intercellular network of ABP. Taken together, our findings indicate that the intercellular relay of the status of ABP contributes to the robustness of polarity across the tissue.

developmental biology↗

Uncoupling of ribosome biogenesis and Tor activation by TRIM-NHL proteins promotes terminal differentiation

Proper tissue development and homeostasis depends on the balance between growth and terminal differentiation, but the mechanisms coordinating these processes remain elusive. Accumulating evidence indicates that ribosome biogenesis (RiBi) and protein synthesis, two of the most energy-consuming cellular processes sustaining growth, are tightly regulated and yet can be uncoupled during stem cell fate transitions. Here, using the Drosophila adult female germline stem cell (GSC) and larval neuroblast (NB) systems, we show that Mei-P26 and Brat, two Drosophila TRIM-NHL paralogs of the mammalian TRIM32 protein family, are responsible for uncoupling RiBi and protein synthesis during GSC and NB differentiation, respectively. Mei-P26 and Brat modify the metabolism of differentiating cells by activating the Target of rapamycin (Tor) kinase to promote translation, while concomitantly repressing RiBi. Depletion of Mei-P26 or Brat results in excessive cellular growth and defective terminal differentiation, which can be rescued by ectopic activation of Tor together with suppression of RiBi. Our results indicate that the anabolic reprogramming established by TRIM-NHL activity by uncoupling RiBi and translation activities creates the conditions required for terminal differentiation.

developmental biology↗

Pancreatic cancer prognosis is predicted by a novel ATAC-array technology for assessing chromatin accessibility

We investigated tumor-cell-intrinsic chromatin accessibility patterns of pancreatic ductal adenocarcinoma (PDAC) by ATAC-seq on EpCAM+ PDAC malignant epithelial cells, sorted from 54 freshly resected human tumors, and discovered a signature of 1092 chromatin loci displaying differential accessibility between patients with disease free survival (DFS) < 1 year and patients with DFS > 1 year. Analyzing transcription factor (TF) binding motifs within these loci, we identified two TFs (ZKSCAN1 and HNF1b) displaying differential nuclear localization between patients with short vs. long DFS. We further developed a novel chromatin accessibility microarray methodology termed "ATAC-Array", an easy-to-use platform obviating the time and cost of next generation sequencing. Applying this novel methodology to the original ATAC-seq libraries as well as independent libraries generated from patient-derived organoids, we validated ATAC-array technology in both the original ATAC-Seq cohort as well as in an independent validation cohort. We conclude that PDAC prognosis can be predicted by ATAC-array, which represents a novel, lowcost, clinically feasible technology for assessing chromatin accessibility profiles.

cancer biology↗

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,125 Individuals from the ADNI and OASIS Databases

Biomarker-assisted preclinical/early detection and intervention in Alzheimers disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (A{beta}) plaques in the human brain. However, current methods to detect A{beta} pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prior studies show that MRI-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. Here we attempt to use MRI-MMS to make inferences regarding brain A{beta} burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse coding and max-pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each subject. Then we apply these individual representations and a binary random forest classifier to predict brain A{beta} positivity for each person. We test our method in two independent cohorts, 841 subjects from the Alzheimers Disease Neuroimaging Initiative (ADNI) and 260 subjects from the Open Access Series of Imaging Studies (OASIS). Experimental results suggest that our proposed PASCS-MP method and MMS can discriminate A{beta} positivity in people with mild cognitive impairment (MCI) (Accuracy (ACC)=0.89 (ADNI)) and in cognitively unimpaired (CU) individuals (ACC=0.79 (ADNI) and ACC=0.81 (OASIS)). These results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM), and our prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.

bioinformatics↗

Estimating Microbial Interaction Network:Zero-inated Latent Ising Model Based Approach

MotivationThroughout their lifespans, humans continually interact with the microbial world, including those organisms which live in and on the human body. Research in this domain has revealed the extensive links between the human-associated microbiota and health. In particular, the microbiota of the human gut plays essential roles in digestion, nutrient metabolism, immune maturation and homeostasis, neurological signaling, and endocrine regulation. Microbial interaction networks are frequently estimated from data and are an indispensable tool for representing and understanding the relationships among the microbes of a microbiota. In this high-dimensional setting, the zero-inflated and compositional data structure (subject to unit-sum constraint) pose challenges to the accurate estimation of microbial interaction networks. MethodWe propose the zero-inflated latent Ising (ZILI) model for microbial interaction network which assumes that the distribution of relative abundance of microbiota is determined by finite latent states. This assumption is partly supported by the existing findings in literature [20]. The ZILI model can circumvents the unit-sum constraint and alleviates the zero-inflation problem under given assumptions. As for the model selection of ZILI, a two-step algorithm is proposed. ZILI and two-step algorithm are evaluated through simulated data and subsequently applied in our investigation of an infant gut microbiome dataset from New Hampshire Birth Cohort Study. The results are compared with results from traditional Gaussian graphical model (GGM) and dichotomous Ising model (DIS). ResultsThrough the simulation studies, provided that the ZILI model is the true generative model for the data, it is shown that the two-step algorithm can estimate the graphical structure effectively and is robust to a range of alternative settings of the related factors. Both GGM and DIS can not achieve a satisfying performance in these settings. For the infant gut microbiome dataset, we use both ZILI and GGM to estimate microbial interaction network. The final estimated networks turn out to share a statistically significant overlap in which the ZILI and two-step algorithm tend to select the sparser network than those modeled by GGM. From the shared subnetwork, a hub taxon Lachnospiraceae is identified whose involvement in human disease development has been discovered recently in literature. AvailabilityThe data and programs involved in Section 4 and 5 are available on request from the correspondence author. ContactAnne.G.Hoen@dartmouth.edu Supplementary informationSupplementary materials are available at Bioinformatics

bioinformatics↗

Copper Induces Zebrafish Central Neural System Myelin Defects: the Regulatory Mechanisms in Wnt/Notch-hoxb5b Signaling and Underlying DNA Methylation

Unbalanced copper (Cu2+) homeostasis is associated with neurological development defects and diseases. However, the molecular mechanisms remain elusive. Here, central neural system (CNS) myelin defects and down-regulated expression of Wnt/Notch signaling and their down-stream mediator hoxb5b were observed in Cu2+ stressed zebrafish larvae. Loss/knockdown-of-function of hoxb5b phenocopied the myelin and axon defects observed in Cu2+ stressed embryos. Meanwhile, activation of Wnt/Notch signaling and ectopic expression of hoxb5b could rescue copper-induced myelin defects, suggesting Wnt&Notch-hoxb5b axis mediated Cu2+ induced myelin and axon defects. Additionally, whole genome DNA methylation sequencing unveiled that a novel gene fam168b, similar to pou3f1/2, exhibited significant promoter hypermethylation and reduced expression in Cu2+ stressed embryos. The hypermethylated locus in fam168b promoter acted pivotally in its transcription, and loss/knockdown of fam168b/pou3f1 also induced myelin defects. Moreover, this study unveiled that fam168b/pou3f1 and hoxb5b axis acted in a seesaw manner during fish embryogenesis, and demonstrated that copper induced the down-regulated expression of the Wnt&Notch-hoxb5b axis dependent of the function of copper transporter cox17, coupled with the promoter methylation of genes fam168b/pou3f1 and their subsequent down-regulated expression dependent of the function of another transporter atp7b, making joint contributions to myelin defects in embryos. Those data will shed some light on the linkage of unbalanced copper homeostasis with specific gene promoter methylation and signaling transduction as well as the resultant neurological development defects and diseases. Author summaryIn this study, we first unveiled that copper induced central neural system (CNS) myelin defects via down-regulating Wnt/Notch-hoxb5b signaling, and parallel with hypermethylating promoters of genes fam168b/pou3f2 and their subsequent down-regulated expression. Additionally, we unveiled that fam168b/pou3f1 and hoxb5b axis acted in a seesaw manner during fish embryogenesis. Genetically, we unveiled that copper was trafficked to mitochondrion via cox17 then led to the down-regulation of Wnt&Notch-hoxb5b axis, and was trafficked to trans-Golgi network via atp7b to induce the hypermethylation and the down-regulated expression of pou3f1/fam168b genes, making joint contributions to myelin defects in embryos.

developmental biology↗

Information Enhanced Model Selection for High-Dimensional Gaussian Graphical Model with Application to Metabolomic Data

In light of the low signal-to-noise nature of many large biological data sets, we propose a novel method to learn the structure of association networks using Gaussian graphical models combined with prior knowledge. Our strategy includes two parts. In the first part, we propose a model selection criterion called structural Bayesian information criterion (SBIC), in which the prior structure is modeled and incorporated into Bayesian information criterion (BIC). It is shown that the popular extended BIC (EBIC) is a special case of SBIC. In the second part, we propose a two-step algorithm to construct the candidate model pool. The algorithm is data-driven and the prior structure is embedded into the candidate model automatically. Theoretical investigation shows that under some mild conditions SBIC is a consistent model selection criterion for high-dimensional Gaussian graphical model. Simulation studies validate the superiority of the proposed algorithm over the existing ones and show the robustness to the model misspecification. Application to relative concentration data from infant feces collected from subjects enrolled in a large molecular epidemiological cohort study validates that metabolic pathway involvement is a statistically significant factor for the conditional dependence between metabolites. Furthermore, new relationships among metabolites are discovered which can not be identified by the conventional methods of pathway analysis. Some of them have been widely recognized in biological literature.

bioinformatics↗

A combination of Interferon Stimulated Genes is more effective than IFNα and IFNss in reducing HIV-1 replication in human cervicovaginal tissues

Enhancing antiviral responses while controlling immune cell activation is an attractive strategy to reduce HIV-1 replication in the cervicovaginal mucosae, a primary site of heterosexual transmission. Interferon alpha and beta (IFN/{beta}) signaling up-regulates expression of inflammatory factors and Interferon-Stimulated Genes (ISGs). The simultaneous induction of both IFNs by pathogen-bound molecular pattern recognition receptors and the paucity of data on the anti-HIV-1 efficacy of a combination of these antiviral factors or their downstream targets in human experimental models taking into account mucosal and submucosal cell populations, motivated us to determine whether combined IFN/{beta} or ISGs could decrease HIV-1 replication in cervicovaginal tissues.\n\nIFN/{beta} reduced HIV-1 p24 release. This reduction was associated with upregulation of expression of a subset of ISGs, the type I IFN receptor and interferon regulatory factor seven. IFN/{beta} also enhanced immune cell activation. In contrast, when added directly to CV tissues, a combination of ISGs was more effective than IFN/{beta} in reducing HIV-1 p24 release. The ISG combination demonstrated early kinetics and a more robust reduction in HIV-1 p24 release. Opposite to IFN/{beta}, the combination of ISGs did not induce immune cell activation.\n\nIFN/{beta}-induced ISGs provide novel mucosal therapeutic targets with a greater capacity to reduce HIV-1 compared to IFN/{beta}, without inducing immune cell activation.

immunology↗

miRBaseConverter: An R/Bioconductor Package for Converting and Retrieving miRNA Name, Accession, Sequence and Family Information in Different Versions of miRBase

BackgroundmiRBase is the primary repository for published miRNA sequence and annotation data, and serves as the \"go-to\" place for miRNA research. However, the definition and annotation of miRNAs have been changed significantly across different versions of miRBase. The changes cause inconsistency in miRNA related data between different databases and articles published at different times. Several tools have been developed for different purposes of querying and converting the information of miRNAs between different miRBase versions, but none of them individually can provide the comprehensive information about miRNAs in miRBase and users will need to use a number of different tools in their analyses.\n\nResultsWe introduce miRBaseConverter, an R package integrating the latest miRBase version 22 available in Bioconductor to provide a suite of functions for converting and retrieving miRNA name (ID), accession, sequence, species, version and family information in different versions of miRBase. The package is implemented in R and available under the GPL-2 license from the Bioconductor website (http://bioconductor.org/packages/miRBaseConverter/). A Shiny-based GUI suitable for non-R users is also available as a standalone application from the package and also as a web application at http://nugget.unisa.edu.au:3838/miRBaseConverter. miRBaseConverter has a built-in database for querying miRNA information in all species and for both pre-mature and mature miRNAs defined by miRBase. In addition, it is the first tool for batch querying the miRNA family information. The package aims to provide a comprehensive and easy-to-use tool for miRNA research community where researchers often utilize published miRNA data from different sources.\n\nConclusionsThe Bioconductor package miRBaseConverter and the Shiny-based web application are presented to provide a suite of functions for converting and retrieving miRNA name, accession, sequence, species, version and family information in different versions of miRBase. The package will serve a wide range of applications in miRNA research and could provide a full view of the miRNAs of interest.

genomics↗