Biology subjects

Singh, R.

Publications and source records attributed to Singh, R..

At least 289 records · Page 16Linked to original sources

bioRxiv2019

Detection and characterization of a novel copper-dependent intermediate in a lytic polysaccharide monooxygenase

Lytic polysaccharide monooxygenases (LPMOs) are copper-containing enzymes capable of oxidizing crystalline cellulose and the enzyme has large practical application in the process of refining biomass. The LPMO catalytic mechanism still remains debated despite several proposed reaction mechanisms. Here, we report a long-lived intermediate (t[1/2] = 6 - 8 minutes) observed in an LPMO from Thermoascus aurantiacus (TaLPMO9A). The intermediate with a strong absorption around 420 nm is formed when reduced LPMO-Cu(I) reacts with H2O2. UV-vis absorption spectroscopy, electron paramagnetic resonance (EPR), and stopped-flow spectroscopy indicate that the observed long-lived intermediate involves the copper center and a nearby tyrosine (Tyr175). We propose that the reaction with H2O2 first forms a highly reactive short-lived Cu(III)-intermediate which is subsequently transformed into the observed long-lived copper-dependent intermediate. Since sub-equimolar amount of H2O2 to LPMO boosts oxidation of phosphoric acid swollen cellulose (PASC) suggests that the long-lived copper-dependent intermediate is part of the catalytic mechanism for LPMOs. The proposed mechanism offers new perspectives in the oxidative reaction mechanism of copper enzymes and hence for the biomass oxidation and the reactivity of copper in biological systems.

biochemistry↗

bioRxiv2019

A conserved acidic cluster motif in SERINC5 confers resistance to antagonism by HIV-1 Nef

The cellular protein SERINC5 inhibits the infectivity of diverse retroviruses and is counteracted by the glycoGag protein of MLV, the S2 protein of EIAV, and the Nef protein of HIV-1. Determining regions within SERINC5 that provide restrictive activity or Nef-sensitivity should inform mechanistic models of the SERINC5/HIV-1 relationship. Here, we report that deletion of the highly conserved sequence EDTEE, which is located within a cytoplasmic loop of SERINC5 and is reminiscent of an acidic cluster membrane trafficking signal, increases the sensitivity of SERINC5 to antagonism by Nef while having no effect on the intrinsic activity of the protein as an inhibitor of infectivity. The effects on infectivity correlated with enhanced removal of the {Delta}EDTEE mutant relative to wild type SERINC5 from the cell surface and with enhanced exclusion of the mutant protein from virions by Nef. Mutational analysis revealed that the acidic residues, but not the threonine, within the EDTEE motif are important for the relative resistance to Nef. Deletion of the EDTEE sequence did not increase the sensitivity of SERINC5 to antagonism by the glycoGag protein of MLV, suggesting that its virologic role is Nef-specific. These results are consistent with the reported mapping of the cytoplasmic loop that contains the EDTEE sequence as a general determinant of Nef-responsiveness, but they further indicate that sequences inhibitory to as well as supportive of Nef-activity reside in this region. We speculate that the EDTEE motif might have evolved to mediate resistance against retroviruses that use Nef-like proteins to antagonize SERINC5.\n\nImportanceCellular membrane proteins in the SERINC family, especially SERINC5, inhibit the infectivity of retroviral virions. This inhibition is counteracted by retroviral proteins, specifically HIV-1 Nef, MLV glycoGag, and EIAV S2. One consequence of such a host-pathogen \"arms race\" is compensatory change in the host antiviral protein as it evolves to escape the effects of the viral antagonist. This is often reflected in a genetic signature, positive selection, which is conspicuously missing in SERINC5. Here we show that despite this lack of genetic evidence, a sequence in SERINC5 nonetheless provides relative resistance to antagonism by HIV-1 Nef.

microbiology↗

bioRxiv2019

Differential and Age Dependent Expression of Specific Sialoglycans on HeLa Cells -Revealed by Direct Fluorescent Glycan Labeling

Cells are covered with glycans. The expression and distribution of specific glycans on cell surface are important for various cellular functions. Imaging these glycans is essential to elucidate their biological roles. Here, utilizing enzymatic incorporation of fluorophore-conjugated sialic acids, dubbed as direct fluorescent glycan labeling (DFGL), we report the imaging of N- and O-glycans and particularly tumor specific sialyl T antigen on HeLa cells. It is found that while Core-1 O-glycans are relatively evenly distributed on cells, the expression of N-glycans tend to be more peripheral. More interestingly, the expression of sialyl T antigen displays random and sporadic patterns. In technique side, DFGL allows convenient labeling or imaging of various glycans on intact glycoproteins or cell surfaces with variety of fluorescent dyes.

cancer biology↗

bioRxiv2019

Adaptation to seasonal reproduction and thermal minima-related factors drives fine-scale divergence despite gene flow in Atlantic herring populations

Natural selection can maintain local adaptation despite the presence of gene flow. However, the genomic basis and environmental factors involved in adaptation at fine-spatial scales are not well understood. Here, we address these questions using Atlantic herring (Clupea harengus), an abundant, migratory, and widely distributed marine species with substantial genomic resources including a chromosome-level genome assembly and genomic data from the eastern Atlantic and Baltic populations. We analysed whole-genome sequence and oceanographic data to examine the genetic variation of 15 spawning aggregations across the northwest Atlantic Ocean ([~]1,600 km of coastline) and the association of this variation with environmental variables. We found that population structure lies in a small fraction of the genome involving adaptive genetic variants of functional importance. We discovered 10 highly differentiated genomic regions distributed across four chromosomes. Two of these loci appear to be private to the northwest, four loci share a large number of adaptive variants between northwest and northeast Atlantic, and four shared loci exhibit an outstanding diversity in haplotype composition, including a novel putative inversion on chromosome 8. Another inversion on chromosome 12 underlies a latitudinal genetic pattern discriminating populations north and south of a biogeographic transition zone on the Scotian Shelf. Our genome-environment association analysis indicates that sea water temperature during winter is the environmental factor that best correlates with the latitudinal pattern of this inversion. We conclude that the timing and geographic location of spawning and early development are under diverse selective pressures related to environmental gradients. Natural selection appears to act on early-life performance traits with differential fitness across environments. Our study highlights the role of genomic architecture, ancestral haplotypes, and selection in maintaining adaptive divergence in species with large population sizes and presumably high gene flow.

genomics↗

bioRxiv2019

HILPDA uncouples lipid storage in adipose tissue macrophages from inflammation and metabolic dysregulation

Obesity promotes accumulation of lipid-laden macrophages in adipose tissue. Here, we determined the role of macrophage lipid accumulation in the development of obesity-induced adipose tissue inflammation, using mice with myeloid-specific deficiency of the lipid-inducible HILPDA protein. HILPDA deficiency in bone marrow-derived macrophages markedly reduced intracellular lipid levels and accumulation of fluorescently-labeled fatty acids in lipid droplets. Decreased lipid storage in HILPDA-deficient macrophages could be almost completely rescued by inhibition of adipose triglyceride lipase (ATGL) and was associated with increased oxidative metabolism. In diet-induced obese mice, HILPDA deficiency did not alter inflammatory or metabolic parameters, despite markedly reducing lipid storage in adipose tissue macrophages. Our data indicate that HILPDA is a lipid-induced physiological inhibitor of ATGL-mediated lipolysis that uncouples lipid storage in adipose tissue macrophages from inflammation and metabolic dysregulation. Overall, our data question the importance of lipid storage in adipose tissue macrophages in obesity-induced inflammation and metabolic dysregulation.

physiology↗

bioRxiv2019

Thyroid hormone coordinates developmental trajectories but does not underlie developmental truncation in Danionins

BackgroundChanges in post-embryonic developmental trajectories can profoundly alter adult phenotypes and life history transitions. In vertebrate clades with complex, biphasic life cycles, thyroid hormone (TH) regulates metamorphosis, and alterations to TH metabolism underlie famous cases of paedomorphosis. We tested the requirement for TH in multiple post-embryonic developmental processes in the zebrafish, and asked if TH loss was associated with paedomorphosis in miniaturized Danionellas. ResultsWe found that TH regulates the relative growth of different body parts in zebrafish, inhibiting head growth at juvenile stages. The lateral line also showed sensitivity to the hormone: head neuromasts were inhibited by TH, while trunk neuromasts required TH for their proliferation. While several aspects of Danionella morphology resembled that of larval zebrafish, these species did not resemble hypothyroid zebrafish in their shape or lateral line, and these fish showed functional thyroid follicles. ConclusionsAlthough zebrafish do not undergo a discrete ecological transformation, we found that multiple tissues go through a protracted metamorphosis, and that TH ushers in growth patterns and processes typical of juveniles. We found no evidence that compromised TH metabolism is responsible for paedomorphosis in Danionellas. Nonetheless, modulations to TH-sensitive pathways affect evolutionarily-relevant traits, and are likely important targets for adaptation. Bullet PointsO_LIThyroid hormone regulates shifts in relative growth trajectories in different zebrafish tissues C_LIO_LIThyroid hormone inhibits head growth in juvenile zebrafish, and regulates juvenile growth patterns C_LIO_LIThyroid hormone stimulates formation of neuromast canals in the head and stitches on the trunk of zebrafish C_LIO_LIDanionella, the miniaturized sister group to Danio morphologically resemble larval zebrafish and do not form neuromast canals C_LIO_LIHypothyroidism is not the cause of paedomorphosis in Danionella C_LI Grant SponsorsNIH R00GM105874 NIH R03HD091634 Burroughs Wellcome Collaborative Research Travel Grant 1017439

developmental biology↗

bioRxiv2019

Inferring wildlife poaching in Southeast Asia with multispecies dynamic site-occupancy models

Determining the space race between sympatric species is crucial to understand the effects of interspecific interactions on the extinction risk of species threatened by poachers, predators, pathogens, and invasive competitors. Dynamic two-species occupancy models provide a flexible framework to decompose complex species interaction patterns while accounting for imperfect detection. In particular, these models can describe poachers-wildlife interactions by considering the occupancy, the extinction and colonisation probabilities of wildlife conditional on the presence or absence of poachers and vice versa. We apply our model to a case study on wildlife poaching in the Eastern plains of Cambodia. We used co-occurrence data extracted from the database of the SMART partnership to study the distribution dynamics between poachers and six ungulate species regarded as main prey of tigers. We used 4 years of survey data reporting the locations of ranger patrols on the detection of snares with visual detections or presence signs of the ungulates. Our results showed that a substantial proportion of the sites occupied by ungulate species went extinct over the years of the study while the proportion of sites colonised by poachers increased. We also showed, for the first time, that spatio-temporal heterogeneity in the patrolling effort explains a great deal of the variation in the detection of poachers and ungulates. Our approach provides practitioners with a flexible and robust tool to assess conservation status of species and extinction risk of wildlife populations. It can assist managers in better evaluating, learning and adapting the patrolling strategies of rangers.

ecology↗

bioRxiv2019

A pitfall for machine learning methods aiming to predict across cell types

Machine learning models to predict phenomena such as gene expression, enhancer activity, transcription factor binding, or chromatin conformation are most useful when they can generalize to make accurate predictions across cell types. In this situation, a natural strategy is to train the model on experimental data from some cell types and evaluate performance on one or more held-out cell types. In this work, we show that, when the training set contains examples derived from the same genomic loci across multiple cell types, then the resulting model can be susceptible to a particular form of bias related to memorizing the average activity associated with each genomic locus. Consequently, the trained model may appear to perform well when evaluated on the genomic loci that it was trained on but tends to perform poorly on loci that it was not trained on. We demonstrate this phenomenon by using epigenomic measurements and nucleotide sequence to predict gene expression and chromatin domain boundaries, and we suggest methods to diagnose and avoid the pitfall. We anticipate that, as more data and computing resources become available, future projects will increasingly risk suffering from this issue.

bioinformatics↗

bioRxiv2018

Viral characteristics associated with sustenance of elite neutralizing activity in chronically HIV-1C infected monozygotic pediatric twins

Broad and potent neutralizing antibodies (bnAbs) with multiple epitope specificities evolve in HIV-1 infected children. Herein we studied two antiretroviral naive chronically HIV-1C in-fected monozygotic pediatric twins AIIMS_329 and AIIMS_330 with potent plasma bnAbs. Elite plasma neutralizing activity was observed since initial sampling at 78 months in AIIMS_330 and persisted throughout, while in AIIMS_329 it was seen at 90-months of age after which potency decreased overtime. We evaluated potential viral characteristics associated with the varied immune profile by generating single genome amplified pseudoviruses. The AIIMS_329 viruses generated from 90-month time point sampling were neutralization sensitive to second generation bnAbs and contemporaneous autologous plasma antibodies, while viruses from 112-months and 117-month timepoints were resistant to most bnAbs and autologous contemporaneous plasma. AIIMS_329 viruses developed resistance to plasma nAbs plausibly by N160-glycan loss, V1- and V4-loop lengthening. The viruses generated from AIIMS_330 at 90-month and 117-month timepoint showed varied susceptibility to bnAbs and autologous contemporaneous plasma antibodies while the viruses of 112-month timepoint, at which plasma nAb specificities mapped to the V2-glycan, V3-glycan and CD4bs, were resistant to autologous contemporaneous plasma antibodies as well as most bnAbs. We observed evolution of a viral pool in AIIMS_330 donor, comprising of plasma antibody neutralization sensitive or resistant diverse autologous viruses that in turn may have contributed to development and maintenance of elite neutralizing activity. The findings of this study provide information towards understanding factors involved in generation and maintenance of potent plasma nAbs.\n\nImportanceChronically HIV-1 infected children that develop elite neutralizing activity are suitable candidates to understand the mechanisms that lead to the co-evolution of virus and antibody response. Here, we evaluated the alterations in virus and antibody responses over time in chronically HIV-1C infected monozygotic pediatric twins, AIIMS_329 and AIIMS_330, who had acquired the infection by vertical transmission. AIIMS_330 retained the elite plasma neutralizing activity throughout, while in AIIMS_329, the potency decreased post 90 months of age. The corresponding viral pool from post 90-month samples in AIIMS_330 showed varied susceptibility, while that in AIIMS_329, developed resistance to bnAbs and autologous plasma antibodies. The findings of this study, conducted in twin children of same genetic make-up and infected at birth with a single source of HIV-1C, suggest that a viral pool with varied susceptibility to antibodies could have been one of the factors responsible for sustained elite neutralizing activity in AIIMS_330.

immunology↗

bioRxiv2018

Draft genome of the liver fluke Fasciola gigantica

Fascioliasis is a neglected food-borne disease caused by liver flukes (genus Fasciola) and affects more than 200 million people worldwide. Despite technological advances, little is known about the molecular biology and biochemistry of the fluke. We present the draft genome of Fasciola gigantica for the first time. The assembled draft genome has a size of ~1.04 Gb with an N50 of 129 kb. A total of 20,858 genes were predicted. The de novo repeats identified in the draft genome were 46.85%. In pathway analysis, all the genes of glycolysis, Krebs cycle and fatty acid metabolism were found to be present, but the key genes for fatty acid production in fatty acid biosynthesis were missing. This indicates that the fatty acid required for the survival of the fluke may be acquired from the host bile. The genomic information will provide a comprehensive resource to facilitate the development of novel interventions for fascioliasis control.

bioinformatics↗

bioRxiv2018

Antifungal effects of 3-(4-Phenyl-thiazol-2-yl)-2-thioxo-2, 3-dihydro-1H-quinazolin-4-one against Aspergillus Species

Aspergillus infections have become an important health problem with the increasing number of patients. Available antifungal drugs are lack with their spectrum, toxic or immunosuppressive in nature, so that need to develop new compound with high efficacy. To evaluate antifungal efficacy of synthesized compound and to identify the protein profile of Aspergillus fumigatus treated with antifungal. Clinical isolates of A. fumigatus, A. flavus and A. niger were cultured and efficacy of compound were conducted by Disc Diffusion Assay (DDA), Microbroth Dilution Assay (MDA). Percent of spore germination inhibition assay (PSGI), Time kill analysis and toxicity assay. The culture filtrate containing secretory proteins was collected after 24 h growth and expression of downregulated proteins were identified. We developed a new and useful quinazoline derivatives expected to antifungal activity. The result of anti-Aspergillus evolution revealed that one of the 3-(4-Phenyl-thiazol-2-yl)-2-thioxo-2, 3-dihydro-1H-quinazolin-4-one (DDVKT4Q) exhibited appreciable activity. The potency of compound was found concentration of 3.125 {micro}g/disc by disc diffusion assay (DDA) and 15.625 {micro}g/ml. by Microbroth Dilution Assay (MDA). The compound was nontoxic up to concentration 625 {micro}g/ml and its lysed only 35.9% of human erythrocytes, at the highest dose tested. Its observed that the treatment of pathogen with DDVKT-4Q targeted the expression of four proteins having molecular weights 18 kDa 37 KDa and 43 KDa proteins was completely inhibited or down regulated by the compound the extra cellular. The novel compound DDVKT-4Q, having antifungal activity Can be exploited further to develop new ideal antimycotic drugs.

microbiology↗

bioRxiv2018

Resumption of spermatogenesis in senescent goldfish Carassius auratus (Linnaeus, 1758) through spermatogonial cell therapy

In recent times, stem cell research has gained considerable prominence because of its applications in assisted reproductive technology and the treatment of deadly diseases. In teleost fishes, spermatogonial stem cells have been effectively used to produce progeny of difficult-to-breed fish species and/or commercially valuable species through the surrogacy technique. The present study is the first report of an innovative application of stem cell therapy in teleostean fish species for revitalising the reproductive competence of senescent individuals. Senescent male goldfish, Carassius auratus aged approximately 10 years were procured from an ornamental fish-breeding farm and were reared locally for an additional 2 years. The senescence of the fish was evaluated and confirmed using histological analysis, gonadal index assessment, and germ-cell specific vasa gene expression. Analyses revealed the absence of spermatogonial cells and other germ cells in the testes of the senescent fish (n = 5). Spermatogonial cells from a prepubertal C. auratus male donor were isolated using discontinuous percoll gradients, labelled with the fluorescent dye PKH-26, and transplanted into the gonads of senescent C. auratus males through the urogenital papilla. Six months after the therapy, spermatozoa from males were collected through applying gentle manual pressure on the abdomen and were observed under the microscope. All the senescent therapy-treated C. auratus males produced spermatozoa from the transplanted cells; this was confirmed by retention of PKH-26 in the spermatozoa and diagnostic SSR locus. The senescent males were crossed with gravid C. auratus females through artificial insemination and natural spawning, and viable progeny was produced. These observations suggest that the reproductive competence of senescent individuals of commercially valuable and/or endangered fish species can be revitalised and extended through spermatogonia stem cell therapy to produce functional gametes.

developmental biology↗

bioRxiv2018

Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat

Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by improving prediction accuracy for grain yield. Hyperspectral cameras quantify canopy reflectance across a wide range of wavelengths that are associated with numerous biophysical and biochemical processes in plants. Genomic selection models utilize genome-wide marker or pedigree information to predict the genetic values of breeding lines. In this study, we propose a multi-kernel GBLUP approach to genomic selection that uses genomic marker-, pedigree-, and hyperspectral reflectance-derived relationship matrices to model the genetic main effects and genotype x environment (G x E) interactions across environments within a bread wheat (Triticum aestivum L.) breeding program. We utilized an airplane equipped with a hyperspectral camera to phenotype five differentially managed treatments of the yield trials conducted by the Bread Wheat Improvement Program, International Maize and Wheat Improvement Center (CIMMYT) at Ciudad Obregon, Mexico over four breeding cycles. We observed that single-kernel models using hyperspectral reflectance-derived relationship matrices performed similarly or superior to marker-and pedigree-based genomic selection models when predicting within and across environments. Multi-kernel models combining marker/pedigree information with hyperspectral reflectance phentoypes had the highest prediction accuracies; however, improvements in accuracy over marker-and pedigree-based models were marginal when correcting for days to heading. Our results demonstrates the potential of hyperspectral imaging in predicting grain yield within a multi-environment context, it also supports further studies on integration of hyperspectral reflectance phenotyping in breeding programs.

genomics↗

bioRxiv2018

Bacterial and fungal contributions to delignification and lignocellulose degradation in forest soils with metagenomic and quantitative stable isotope probing

Delignification, or lignin-modification, facilitates the decomposition of lignocellulose in woody plant biomass. The extant diversity of lignin-degrading bacteria and fungi is underestimated by culture-dependent methods, limiting our understanding of the functional and ecological traits of decomposers populations. Here, we describe the use of stable isotope probing (SIP) coupled with amplicon and shotgun metagenomics to identify and characterize the functional attributes of lignin-, cellulose-and hemicellulose-degrading fungi and bacteria in coniferous forest soils from across North America. We tested the extent to which catabolic genes partitioned among different decomposer taxa; the relative roles of bacteria and fungi, and whether taxa or catabolic genes correlated with variation in lignocellulolytic activity, measured as the total assimilation of 13C-label into DNA and phospholipid fatty acids. We found high overall bacterial degradation of our model lignin substrate, particularly by gram-negative bacteria (Comamonadaceae and Caulobacteraceae), while fungi were more prominent in cellulose-degradation. Very few taxa incorporated 13C-label from more than one lignocellulosic polymer, suggesting specialization among decomposers. Collectively, members of Caulobacteraceae could degrade all three lignocellulosic polymers, providing new evidence for their importance in lignocellulose degradation. Variation in lignin-degrading activity was better explained by microbial community properties, such as catabolic gene content and community structure, than cellulose-degrading activity. SIP significantly improved shotgun metagenome assembly resulting in the recovery of several high-quality draft metagenome-assembled genomes and over 7,500 contigs containing unique clusters of carbohydrate-active genes. These results improve understanding of which organisms, conditions and corresponding functional genes contribute to lignocellulose decomposition.

molecular biology↗

bioRxiv2018

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin

The past decade has seen a revolution in genomic technologies that enabled a flood of genome-wide profiling of chromatin marks. Recent literature tried to understand gene regulation by predicting gene expression from large-scale chromatin measurements. Two fundamental challenges exist for such learning tasks: (1) genome-wide chromatin signals are spatially structured, high-dimensional and highly modular; and (2) the core aim is to understand what the relevant factors are and how they work together. Previous studies either failed to model complex dependencies among input signals or relied on separate feature analysis to explain the decisions. This paper presents an attention-based deep learning approach, AttentiveChrome, that uses a unified architecture to model and to interpret dependencies among chromatin factors for controlling gene regulation. AttentiveChrome uses a hierarchy of multiple Long Short-Term Memory (LSTM) modules to encode the input signals and to model how various chromatin marks cooperate automatically. AttentiveChrome trains two levels of attention jointly with the target prediction, enabling it to attend differentially to relevant marks and to locate important positions per mark. We evaluate the model across 56 different cell types (tasks) in humans. Not only is the proposed architecture more accurate, but its attention scores provide a better interpretation than state-of-the-art feature visualization methods such as saliency maps.1

bioinformatics↗

bioRxiv2018

GaKCo: a Fast GApped k-mer string Kernel using COunting

String Kernel (SK) techniques, especially those using gapped k-mers as features (gk), have obtained great success in classifying sequences like DNA, protein, and text. However, the state-of-the-art gk-SK runs extremely slow when we increase the dictionary size ({Sigma}) or allow more mismatches (M). This is because current gk-SK uses a trie-based algorithm to calculate co-occurrence of mismatched substrings resulting in a time cost proportional to O({Sigma}M). We propose a fast algorithm for calculating Gapped k-mer Kernel using Counting (GaKCo). GaKCo uses associative arrays to calculate the co-occurrence of substrings using cumulative counting. This algorithm is fast, scalable to larger{Sigma} and M, and naturally parallelizable. We provide a rigorous asymptotic analysis that compares GaKCo with the state-of-the-art gk-SK. Theoretically, the time cost of GaKCo is independent of the{Sigma} M term that slows down the trie-based approach. Experimentally, we observe that GaKCo achieves the same accuracy as the state-of-the-art and outperforms its speed by factors of 2, 100, and 4, on classifying sequences of DNA (5 datasets), protein (12 datasets), and character-based English text (2 datasets). 1

bioinformatics↗

bioRxiv2018

Phosphoserine acidic cluster motifs in the cytoplasmic domains of transmembrane proteins bind distinct basic regions on the μ subunits of clathrin adaptor protein complexes

Protein trafficking in the endosomal system involves the recognition of specific signals within the cytoplasmic domains (CDs) of transmembrane proteins by clathrin adaptors. One such signal is the phosphoserine acidic cluster (PSAC), the prototype of which is in the endoprotease Furin. How PSACs are recognized by clathrin adaptors has been controversial. We reported previously that HIV-1 Vpu, which modulates cellular immunoreceptors, contains a PSAC that binds to the {micro} subunits of clathrin adaptor protein (AP) complexes. Here, we show that the CD of Furin binds the {micro} subunits of AP-1 and AP-2 in a phosphorylation-dependent manner. Moreover, we identify a PSAC in a cytoplasmic loop of the cellular transmembrane Serinc3, an inhibitor of the infectivity of retroviruses. The two serines within the PSAC of Serinc3 are phosphorylated by casein kinase II and mediate interaction with the {micro} subunits in vitro. The sites of these serines vary among mammals in a manner consistent with host-pathogen conflict, yet the Serinc3-PSAC seems dispensible for anti-HIV activity and for counteraction by HIV-1 Nef. The CDs of Vpu, Furin, and the PSAC-containing loop of Serinc3 each bind the subunit of AP-2 ({micro}2) with similar affinities, but they appear to utilize different basic regions on {micro}2. The Serinc3 loop requires a region previously reported to bind the acidic plasma membrane lipid phosphatidylinositol-4,5-bisphosphate. These data suggest that the PSACs within different proteins recognize different basic regions on the {micro} surface, providing the potential to inhibit the activity of viral proteins without necessarily affecting cellular protein trafficking.

biochemistry↗

bioRxiv2017

What are the most influencing factors in reconstructing a reliable transcriptome assembly?

Reconstructing the genome and transcriptome for a new or extant species are essential steps in expanding our understanding of the organisms active RNA landscape and gene regulatory dynamics, as well as for developing therapeutic targets to fight disease. The advancement of sequencing technologies has paved the way to generate high-quality draft transcriptomes. With many possible approaches available to accomplish this task, there is a need for a closer investigation of the factors that influence the quality of the results. We carried out an extensive survey of variety of elements that are important in transcriptome assembly. We utilized the human RNA-Seq data from the Sequencing Quality Control Consortium (SEQC) as a well-characterized and comprehensive resource with an available, well-studied human reference genome. Our results indicate that the quality of the library construction significantly impacts the quality of the assembly. Higher coverage of the genome is not as important as the quality of the input RNA-Seq data. Thus, once a certain coverage is attained, the quality of the assembly is mainly dependent on the base-calling accuracy of the input sequencing reads; and it is important to avoid saturating the assembler with extra coverage.

bioinformatics↗