Biology subjects

Das, S.

Publications and source records attributed to Das, S..

At least 253 records · Page 14Linked to original sources

bioRxiv2022

Long COVID: G Protein-Coupled Receptors (GPCRs) responsible for persistent post-COVID symptoms

As of early December 2022, COVID-19 had a significant impact on the lives of people all around the world, with over 630 million documented cases and over 6 million deaths. A recent clinical analysis revealed that under certain conditions, a patients disease symptoms are more likely to persist. Long COVID is characterised by many symptoms that continue long after the SARS-CoV-2 infection has resolved. This work utilised computational methods to analyse the persistence of COVID symptoms after recovery and to identify the relevant genes. Based on functional similarity, differentially expressed genes (DEGs) of SARS-CoV-2 infection and 255 symptoms of long covid were examined, and potential genes were identified based on the rank of functional similarity. Then, hub genes were identified by analysing the interactions between proteins. Using the identified key genes and the drug-gene interaction score, FDA drugs with potential for possible alternatives were identified. Also discovered were the gene ontology and pathways for 255 distinct symptoms. A website (https://longcovid.omicstutorials.com/) with a list of significant genes identified as biomarkers and potential treatments for each symptom was created. All of the hub genes associated with the symptoms, GNGT1, GNG12, GNB3, GNB4, GNG13, GNG8, GNG3, GNG7, GNG10, and GNAI1, were discovered to be associated with G-protein coupled receptors. This demonstrates that persistent COVID infection affects various organ systems and promotes chronic inflammation following infection. CTLA4, PTPN22, KIT, KRAS, NF1, RET, and CTNNB1 were identified as the common genes that regulate T-cell immunity via GPCR and cause a variety of symptoms, including autoimmunity, cardiovascular, dermatological, general symptoms, gastrointestinal, pulmonary, reproductive, genitourinary, and endocrine symptoms (RGEM). Among other functions, they were found to be involved in the positive regulation of protein localization to the cell cortex, the regulation of triglyceride metabolism, the binding of G protein-coupled receptors, the binding of G protein-coupled serotonin receptors, the heterotrimeric G-protein complex, and the cell cortex region. These biomarker data, together with the gene ontology and pathway information that accompanies them, are intended to aid in determining the cause and improving the efficacy of treatment.

bioinformatics↗

bioRxiv2022

Deep divergence and genomic diversification of gut symbionts of neotropical stingless bees

Social bees harbor conserved gut microbiota that may have been acquired in a common ancestor of social bees and subsequently co-diversified with their hosts. However, most of this knowledge is based on studies on the gut microbiota of honey bees and bumble bees. Much less is known about the gut microbiota of the third and most diverse group of social bees, the stingless bees. Specifically, the absence of genomic data from their microbiota presents an important knowledge gap in understanding the evolution and functional diversity of the social bee microbiota. Here we combined community profiling with culturing and genome sequencing of gut bacteria from six neotropical stingless bee species from Brazil. Phylogenomic analyses show that most stingless bee gut isolates form deep-branching sister clades of core members of the honey bee and bumble bee gut microbiota with conserved functional capabilities, confirming the common ancestry and ecology of their microbiota. However, our bacterial phylogenies were not congruent with those of the host indicating that the evolution of the social bee gut microbiota was not driven by strict co-diversification, but included host switches and independent symbiont gain and losses. Finally, as reported for the honey bee and bumble bee microbiota, we find substantial genomic divergence among strains of stingless bee gut bacteria suggesting adaptation to different host species and glycan niches. Our study offers first insights into the genomic diversity of the stingless bee microbiota, and highlights the need for broader samplings to understand the evolution of the social bee gut microbiota. ImportanceStingless bees are the most diverse group of the corbiculate bees and represent important pollinator species throughout the tropics and subtropics. They harbor specialized microbial communities in their gut that are related to those found in honey bees and bumble bees and that are likely important for bee health. Few bacteria have been cultured from the gut of stingless bees which has prevented characterization of their genomic diversity and functional potential. Here, we established cultures of major community members of the gut microbiota of six stingless bee species and sequenced their genomes. We find that most stingless bee isolates belong to novel bacterial species distantly related to those found in honey bees and bumble bees and encoding similar functional capabilities. Our study offers a new perspective on the evolution of the social bee gut microbiota and presents the basis to characterize the symbiotic relationships between gut bacteria and stingless bees.

microbiology↗

bioRxiv2022

Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer's disease

Astrocytes play a critical role in brain homeostasis and normal functions but their changes along the spatiotemporal progression of Alzheimers disease (AD) neuropathology remain largely unknown. Here we performed single-nucleus RNA-sequencing on brain regions along the stereotypical progression of AD pathology from donors ranging the entire normal aging-AD continuum comprising 628,943 astrocyte nuclei from 32 donors across 5 brain regions. We discovered temporal gene-expression-trajectories with gene sets differentially activated at various disease stages. Surprisingly, a gene set enriched in proteostasis and energy metabolism, was upregulated in late-stage but unexpectedly returned to baseline levels in end-stage, suggesting exhaustion of response in "burnt-out" astrocytes. The spatial gene-expression-trajectories revealed that astrocytic genes of tripartite synapses are dysregulated in parallel to the stereotypical progression of tangle pathology across regions. We identified astrocyte heterogeneity across brain regions with a continuum from homeostatic to reactive cells through "intermediate" transitional states. These findings suggest complex astrocytic dysfunction in AD neurodegeneration.

neuroscience↗

bioRxiv2022

Codon degeneracy as well as pretermination codons influence transition to transversion ratio in coding sequences

Transition (ti) and transversion (tv) are the major causes for genome variation. The accurate estimation of ti to tv ratio [Formula] in genomes is crucial for understanding of mutational and selection processes in organisms as it is influenced by both codon degeneracy and pretermination codons (PTC). Therefore, we developed a method (accessible at https://github.com/CBBILAB/CBBI.git) to estimate [Formula] ratio by accounting codon degeneracy as well as PTC in protein coding sequences. Our findings revealed a distinct impact of codon degeneracy and PTC on the [Formula] ratio in the Escherichia coli genome. We observed a decreasing order among the frequencies of different base substitutions such as synonymous transition (Sti) > synonymous transversion (Stv) > non-synonymous transition (Nti) > non-synonymous transversion (Ntv) in E. coli genome. The correlation was strong between Sti and Stv values (Pearson r value 0.795) whereas the correlation was weak between Sti and Nti (Pearson r value 0.192). Coding sequences with similar Sti values exhibited a wide range of Nti values. This indicated the varying strength of purifying selection acting on the coding sequences. In concordance with the assumption, the genes having higher Nti values were observed with lower codon adaptation index (CAI) values than that of the genes having lower Nti values. Our approach is convenient to visualize the frequency of base substitution variation as well as selection in protein coding sequences. The proposed method is useful to estimate different [Formula] ratios accurately in coding sequences and is insightful from an evolutionary perspective. Article SummaryGenetic diversity is pivotal in evolution, with base substitution as a key driver. Transition (ti) frequency surpasses transversion (tv) frequency in genomes, making [Formula] ratios a valuable metric for studying mutation bias. Our improved estimator for [Formula] calculation accounts for codon degeneracy and nonsense substitutions in pretermination codons. Additionally, we unveil insights into the frequency of different substitutions such as Sti, Stv, Nti, and Ntv and demonstrate the impact of selection on protein coding sequences.

evolutionary biology↗

bioRxiv2022

Selective degradation of ARF monomers controls auxin response in Marchantia

The plant signaling molecule auxin controls a variety of growth and developmental processes in land plants. Auxin regulates gene expression through a nuclear auxin signaling pathway (NAP) consisting of a ubiquitin ligase auxin receptor TIR1/AFB, its Aux/IAA degradation substrate, and the DNA-binding ARF transcription factors. While extensive qualitative understanding of the pathway and its interactions has been obtained by studying the flowering plant Arabidopsis thaliana, it is so far unknown how these translate to quantitative system behaviour in vivo, a problem that is confounded by large NAP gene families in this species. Here we used the minimal NAP of the liverwort Marchantia polymorpha to quantitatively map NAP protein accumulation and dynamics in vivo through the use of knock-in fluorescent fusion proteins. Beyond revealing the native accumulation profile of the entire NAP protein network, we discovered that the two central ARFs MpARF1 and MpARF2 are proteasomally degraded. This degradation serves two functions: it tunes the stoichiometry of auxin-responsive, positively acting MpARF1 and auxin-independent, negatively acting MpARF2, thereby permitting auxin response. Secondly, through mapping a minimal degradation motif, we found that degradation is likely selective for MpARF2 monomers and favours accumulation of dimers. Interfering with MpARF1:MpARF2 stoichiometry or preventing degradation of MpARF2 monomers caused strong growth defects associated with auxin response defects. Thus, quantitative analysis of the entire Marchantia NAP, allowed to identify a novel regulatory mechanism in auxin response, built on regulated ARF degradation.

plant biology↗

bioRxiv2022

IPLS-LDA: An Improved Partial Least Square Discriminant Analysis for Heterogeneous Transcriptomics and Metabolomics Data Analysis

Supervised machine learning (SML) is an approach that learns from training data with known category membership to predict the unlabeled test data. There are many SML approaches in the literature and most of them use a linear score to learn its classifier. However, these approaches fail to elucidate biodiversity from heterogeneous biomedical data. Therefore, their prediction accuracies become low. Partial Least Square Linear Discriminant Analysis (PLS-LDA) is widely used in gene expression (GE) and metabolomics datasets for predicting unlabelled test data. Nevertheless, it also does not consider the non-linearity and heterogeneity pattern of the datasets. Hence, in this study, an improved PLS-LDA (IPLS-LDA) was developed by capturing the heterogeneity of datasets through an unsupervised hierarchical clustering approach. In our approach a non-linear score was calculated by combining all the linear scores obtained from the clustering method. The performance of IPLS-LDA was investigated in a comparison with six frequently used SML methods (SVM, LDA, KNN, Naive Bayes, RF, PLS-LDA) using one simulation data, one colon cancer gene expression data (GED) and one lung cancer metabolomics datasets. The resultant IPLS-LDA predictor achieved accuracy 0.841 using 10-fold cross validation in colon cancer data and accuracy 0.727 from two independent metabolomics data analysis. In both the cases IPLS-LDA outperformed other SML predictors. The proposed algorithm has been implemented in an R package, Uplsda was given in the https://github.com/snotjanu/UplsLda.

bioinformatics↗

bioRxiv2022

Copper-independent lysosomal localization of the Wilson disease protein ATP7B

In hepatocytes, the Wilson disease protein ATP7B resides on trans-Golgi network and traffics to peripheral lysosomes to export excess intracellular copper through lysosomal exocytosis. We found that in basal copper or even upon copper chelation, a significant amount of ATP7B persists in endolysosomal compartment of hepatocytes but not in non-hepatic cells. These ATP7B-harboring lysosomes lie in close proximity of [~]10nm to the TGN. ATP7B constitutively distributes itself between the sub-domain of the TGN with a lower pH and the TGN-proximal lysosomal compartments. Presence of ATP7B on TGN-Lysosome colocalizing sites upon Golgi disruption suggested possible exchange of ATP7B directly between the TGN and its proximal lysosomes. Manipulating lysosomal positioning significantly alters the localization of ATP7B in the cell. Contrary to previous understanding, we found that upon copper chelation in a copper-replete hepatocyte, ATP7B is not retrieved back to TGN from peripheral lysosomes; rather, ATP7B recycles to these TGN-proximal lysosomes to initiate the next cycle of copper transport. We report a hitherto unknown copper-independent lysosomal localization of ATP7B and the importance of TGN-proximal lysosomes but not TGN as the terminal acceptor organelle of ATP7B in its retrograde pathway. SynopsisExcess copper is toxic to the cell. In hepatocytes, the Wilson disease protein ATP7B has been reported to recycle between the trans-Golgi network and lysosomes to export copper in elevated copper conditions. We, for the first time, show that a large fraction of ATP7B constitutively resides on the lysosome and rather, the position of the lysosome shifts from TGN-proximal to the peripheral region of the cell in high copper to facilitate ATP7B-mediated lysosomal exocytosis of copper.

cell biology↗

bioRxiv2022

Targeted Vibration-Induced Necrosis in Cancer Cells using Paramagnetic Microrobots

Therapeutic delivery of anti-cancer drugs is a major goal of modern medicine. In particular, microrobots (MRs) have recently been studied for their ability to navigate difficult-to-reach regions in the human body to deliver therapeutics for microscopically localized interventions. However, the control of individual and swarms of MRs to precisely target localized cellular regions remains a significant challenge, preventing their applications as delivery systems in cancer research. In this study, magnetic MRs were used to target cancer cells and create localized magnetic oscillations which resulted in magnetolysis of cancer cells. The magnetic MRs were selectively steered towards Hepatocarcinoma cells (HepG2 cells) using our custom-built magnetic controller under a rotating magnetic field at different frequencies. After internalization of the microrobots by cancer cells, magnetic oscillation of varying dosages was applied to disrupt the internal structure of cancer cells which leads to subsequent cell death.

bioengineering↗

bioRxiv2022

The sulfonylpiperazine MMV020291 prevents red blood cell invasion by the malaria parasite Plasmodium falciparum through interference with actin-1/profilin dynamics

With emerging resistance to frontline treatments, it is vital that new antimalarial drugs are identified to target Plasmodium falciparum. We have recently described a compound, MMV020291, as a specific inhibitor of red blood cell invasion, and have generated analogues with improved potency. Here, we identify actin and profilin as putative targets of the MMV020291 series through resistance selection and whole genome sequencing of three MMV020291 resistant populations. This revealed three non-synonymous single nucleotide polymorphisms in two genes; two in profilin (N154Y, K124N) and a third one in actin-1 (M356L). Using CRISPR-Cas9, we engineered these mutations into wildtype parasites which rendered them resistant to MMV020291. We demonstrate that MMV020291 reduces actin polymerisation that is required by the merozoite stage parasites to invade red blood cells. Additionally, the series inhibits the actin-1 dependent process of apicoplast segregation, leading to a delayed death phenotype. In vitro co-sedimentation experiments using recombinant P. falciparum actin-1 and profilin proteins indicate that potent MMV020291 analogues amplify the actin-monomer sequestering effect of profilin, thereby reducing the formation of filamentous actin. Altogether, this study identifies the first compound series targeting the actin-1/profilin interaction in P. falciparum and paves the way for future antimalarial development against the highly dynamic process of actin polymerisation.

molecular biology↗

bioRxiv2022

Phage-Assisted, Active Site-Directed Ligand Evolution of a Potent and Selective Histone Deacetylase 8 Inhibitor

The phage-assisted, active site-directed ligand evolution (PADLE) is a recently developed technique that uses an amber codon-encoded noncanonical amino acid (ncAA) as an anchor to direct phage-displayed peptides to a target for an enhanced ligand identification process. 2-Amino-8-oxodecanoic acid (Aoda) is a ketone-containing ncAA residue in the macrocyclic peptide natural product apicidin that is a pan-inhibitor of Zn2+-dependent histone deacetylases (HDACs). Its ketone serves as an anchoring point to chelate the catalytic zinc ion in HDACs. Using a previously evolved N{varepsilon}-acetyl-lysyl-tRNA synthetase in combination with tRNAPyl, we showed that Aoda was efficiently incorporated into proteins in Escherichia coli by amber suppression. By propagating an amber codon-obligate phagemid library in E. coli encoding Aoda, we generated an Aoda-containing phage-displayed peptide library. Using this library to conduct PADLE against HDAC8 revealed a 7-mer peptide GH8P01F1 with Aoda-flanking amino acid residues that match existing peptide sequences in identified HDAC8 substrates. Switching Aoda in GH8P01F1 to a more Zn2+-chelating ncAA S-2-amino-8-hydroxyamino-8-oxooctanoic acid (Asuha) led to an extremely potent GH8HA01 that has an HDAC8-inhibition Ki value as 0.67 nM. GH8HA01 and its 5-mer truncation analogue Ac-GH8HA01{Delta}1{Delta}7 that has an HDAC8-inhibition Ki value as 0.31 nM represent two most potent HDAC8 inhibitors that have been developed so far and both are highly selective against HDAC8 over the other three tested HDACs, demonstrating the great potential of using PADLE to identify highly potent and selective ligands for targets.

biochemistry↗

bioRxiv2022

Revisiting the burden borne by fumarase: enzymatic hydration of an olefin

Fumarate hydratase (FH) is a remarkable catalyst that decreases the free energy of the catalyzed reaction by 30 kcal mol-1, much larger than most exceptional enzymes with extraordinary catalytic rates. Two classes of FH are observed in nature: class-I and class-II, that have different folds, yet catalyze the same reversible hydration/dehydration reaction of the dicarboxylic acids fumarate/malate, with equal efficiencies. Using class-I FH from the hyperthermophilic archaeon Methanocaldococcus jannaschii (Mj) as a model along with comparative analysis with the only other available class-I FH structure from Leishmania major (Lm), we provide insights into the molecular mechanism of catalysis in this class of enzymes. The structure of MjFH apo-protein has been determined, revealing that large inter-subunit rearrangements occur across apo- and the holo-protein forms, with a largely preorganized active site for substrate binding. Site-directed mutagenesis of active site residues, kinetic analysis and computational studies including DFT and natural population analysis, together show that residues interacting with the carboxylate group of the substrate play a pivotal role in catalysis. Our study establishes that an electrostatic network at the active site of class-I FH, polarizes the substrate fumarate through interactions with its carboxylate groups, thereby permitting an easier addition of a water molecule across the olefinic bond. We propose a mechanism of catalysis in FH that occurs through transition state stabilization involving the distortion of the electronic structure of the substrate olefinic bond mediated by the charge polarization of the bound substrate at the enzyme active site. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/506457v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@f2f7feorg.highwire.dtl.DTLVardef@1774e6aorg.highwire.dtl.DTLVardef@1bd180eorg.highwire.dtl.DTLVardef@1764941_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2022

Activation of ERK by altered RNA splicing in cancer

Many cancers carry change-of-function mutations affecting RNA splicing factors, however, less is known about the functional consequences of upregulated RNA splicing factors in cancer. Here, we demonstrate that SMNDC1, a poorly studied splicing factor, which we found to be upregulated in multiple carcinomas and associated with poor patient prognosis, promotes cell proliferation, clonal expansion, and tumor growth by promoting the retention of G-rich exons, which otherwise would be excluded or retained at a lower rate after RNA splicing in normal cells. Inclusion of exon 4 (E4) of MAPK3 (ERK1), which encodes both kinase phosphorylation sites (Thr202/Tyr204), was among the promoted exons by SMNDC1. Forced exclusion of MAPK3-E4 using anti-sense oligos inhibited the ERK1 phosphorylation, expression of target genes and decreased tumor cell growth. These data support that cancer cells exploit a "splicing switch" to promote ERK kinase activity and offer a druggable alternative to block oncogenic signaling and altered RNA splicing in cancer cells SIGNIFICANCEERK signaling promotes tumor growth and survival. Exon 4 of MAPK3 (ERK1) encodes the activation phosphorylation sites of ERK1 kinase. Aberrant RNA splicing induced by SMNDC1 in cancer cells increases the retention of exon 4 during mRNA splicing, unleashes the kinase activity. SMNDC1 potentializes as a cancer therapeutic target.

cancer biology↗

bioRxiv2022

CRISPR/Cas-based precision gene replacement in plants via homologous recombination-independent approaches

Precise gene or allele replacement is a desirable technology, but implementing it in plants remains challenging. CRISPR-Cas-based approaches, such as gene targeting (GT) and prime editing (PE), have opened up new possibilities for precise gene replacement in plants. However, their editing size and efficiency still need improvement. Recently, strategies using canonical nonhomologous end-joining (cNHEJ) and microhomology-mediated end joining (MMEJ) have been considered promising alternatives for precise gene replacement in yeast and mammals. However, these approaches have not been extensively explored and applied to plants. Here, we proposed and tested a CRISPR-Cas-based tool, termed PREMJ (precision gene replacement via microhomology-mediated end joining), for precision gene replacement in plants. The PREMJ strategy employing 20-bp microhomology MMEJ donors ([~]100 bp lengths) and a canonical nonhomologous end-joining (cNHEJ) inhibitor, NU7441, produced high targeted gene replacement efficiencies, up to 1.60 {+/-} 0.14, 4.47 {+/-} 1.98, and 8.98 {+/-} 4.73 % in protoplasts of tomato, lettuce, and cabbage, respectively. Our data also revealed the critical impacts of the microhomology length and NU7441 concentration on PREMJ-based precision gene editing in plants. Although obtaining edited plants remains challenging due to inefficient protoplast regenerations and Agrobacterium-mediated delivery, PREMJ may significantly contribute to precision gene editing in plants competent to PREMJ complex delivery and plant regeneration. Key MessageWe designed and tested a method, termed PREMJ, for precise gene replacement using the CRISPR-Cas-mediated double-stranded break (DSB) formation and repairing the DSBs via microhomology-mediated end joining (MMEJ) with MMEJ donor template carrying desired base changes and microhomologies flanking the DSB ends. PREMJ showed feasibility in precise gene replacement in protoplasts of tomatoes, lettuce, and cabbage, albeit its efficacy in Agrobacterium-mediated plant transformation requires further optimization.

synthetic biology↗

bioRxiv2022

Hepatitis C virus induces HuR relocalization by coordinating PKC-δ and AMPK- function

Host protein HuR translocation from nucleus to cytoplasm following infection is crucial for the life cycle of several RNA viruses including hepatitis C virus (HCV), a major causative agent of hepatocellular carcinoma. HuR assists the assembly of replication-complex on the viral-3'UTR, and its depletion hampers viral replication. Although cytoplasmic HuR is crucial for HCV replication, little is known about how the virus orchestrates the mobilization of HuR into the cytoplasm from the nucleus. We show that two viral proteins, NS3 and NS5A, act co-ordinately to alter the equilibrium of the nucleo-cytoplasmic movement of HuR. NS3 activates protein kinase C (PKC)-{delta}, which in-turn phosphorylates HuR on S318 residue, triggering its export to the cytoplasm. NS5A inactivates AMP-activated kinase (AMPK) resulting in diminished nuclear import of HuR through blockade of AMPK-mediated phosphorylation and acetylation of importin-1. Cytoplasmic retention or entry of HuR can be reversed by an AMPK activator or a PKC-{delta} inhibitor. Our findings suggest that efforts should be made to develop inhibitors of PKC-{delta} and AMPK, either separately or in combination, to inhibit HCV infection. Author summaryHepatitis C virus is a major human pathogen, which exploits cellular machinery for its propagation in liver cells. The cytoplasmic availability of cellular components is crucial for their direct influence on processes involving the viral RNA, which lacks any nuclear history. Our results establish the involvement of viral proteins, NS3 and NS5A in achieving increased cytoplasmic abundance of a host factor HuR, an RNA binding protein (RBP) critical for HCV replication. This is achieved via direct post-translational modification of HuR and indirect regulation of its nuclear carrier by coercing two host kinases, PKC-{delta} and AMPK-. RBPs are emerging as novel targetable candidates for gene regulation. Similar studies with other RBPs and targeting protein modifications, in place of whole protein knockdown, could usher in a revolutionary strategy to neutralize emerging RNA virus-based diseases, while preserving their cellular functions.

microbiology↗

bioRxiv2022

ioSearch: a tool for searching disease-associated interacting omics; application on breast cancer data

Biomarkers identification is difficult for cancer and other polygenic traits because such complicated diseases occur due to an intricate interplay of various genetic materials. Although high-throughput data from recent technolo-gies provide access to a tremendous amount of information still there is a huge gap in harnessing knowledge from the generated multi-omics data. It is evident from the availability of subject-specific multi-omics data from large consortiums that there is a growing need for appropriate tools to analyze such data. Traditional single-omics association tests more often identify strong signals but fail to explore the between-omics relationship and find moderately weak signals due to multiple testing burdens. Multi-omics data integration intuitively provides a clear advantage in understanding the genetic architecture of disease a little better by imparting complementary information. But the construction of such methods is challenging because of the diversity in the nature of multiple omics and the sample size which is much less than the number of omics variables. It is important to consider factors such as data diversity and prior biological knowledge to make meaningful and better predictions. Dimension reduction techniques such as feature selection are used to circumvent the sample size issue in general but treating all the omics variables similarly might be an oversimplification of the complex biological interactions. The lack of appropriate approaches for biomarker identification from complex multi-omics data led us to develop this method. ioSearch is a tool for integrating two omics assays with continuous measurements. Based on a two-step model, ioSearch explores the inter-relationship of the omics in a principal regression framework and selects features using sparse principal component analysis to provide easily interpretable inference in terms of p-values. Also, it uses prior biological information to reduce multiple testing burdens. Extensive simulation results show that our method is statistically powerful with a controlled type I error rate. Application of ioSearch to two publicly available breast cancer datasets identified relevant genes and proteins in important pathways.

bioinformatics↗

bioRxiv2022

UVC-based air disinfection system for rapid inactivation of SARS-CoV-2 present in the air

The novel coronavirus disease 2019 (COVID-19) infections have rapidly spread throughout the world, and the virus has acquired an ability to spread via aerosols even at long distances. Hand washing, face-masking, and social distancing are the primary preventive measures against infections. With mounting scientific evidence, World Health Organisation (WHO) declared COVID-19 an air-borne disease. This ensued the need to disinfect air to reduce the transmission. Ultraviolet C (UVC) comprising the light radiation of 200-280 nm range is a commonly used method for inactivation of pathogens. The heating, ventilation, and air conditioning (HVAC) systems are not beneficial in closed spaces due to poor or no ability to damage circulating viruses. Therefore, standard infection-prevention practices coupled with a strategy to reduce infectious viral load in air substantially might be helpful in reducing virus transmissibility. In this study, we implemented UV light-based strategies to combat COVID-19 and future pandemics. We tested various disinfection protocols by using UVC-based air purification systems and currently installed such a system in workspaces, rushed out places, hospitals and healthcare facilities for surface, air, and water disinfection. In this study, we designed a prototype device to test the dose of UVC required to inactivate SARS-CoV-2 in aerosols and demonstrate that the radiation rapidly destroys the virus in aerosols. The UVC treatment renders the virus non-infectious due to chemical modification of nucleic acid. We also demonstrate that UVC treatment alters the Spike protein conformation that may further affect the infectivity of the virus. We show by using a mathematical model based on the experimental data that UVC-based air disinfection strategy can substantially reduce the risk of virus transmission. The systematic treatment by UVC of air in the closed spaces via ventilation systems could be helpful in reducing the active viral load in the air.

microbiology↗

bioRxiv2022

De-differentiation and Proliferation of Artery Endothelial Cells Drive Coronary Collateral Development

Collateral arteries act as natural bypasses which re-route blood flow to ischemic regions and facilitate tissue regeneration. In an injured heart, neonatal artery endothelial cells orchestrate a systematic series of cellular events, which includes their outward migration, proliferation, and coalescence into fully functional collateral arteries. This process, called Artery Reassembly, aids complete cardiac regeneration in neonatal hearts, but is absent in adults. The reason for this age-dependent disparity in artery cell response is completely unknown. In this study, we investigated if regenerative potential of coronary arteries, like in cardiomyocytes, is dictated by their ability to de-differentiate. We performed single cell RNA sequencing of coronary endothelial cells and identified differences in molecular profiles of neonatal and adult endothelial cells. Neonates show significant increase in actively cycling artery cells that expressed prominent de-differentiation markers. Using both, in silico pathway analyses and in vivo experiments, we show that cell cycle re-entry of pre-existing artery cells, subsequent collateral artery formation and cardiac function is dependent on arterial VegfR2. This sub-population of de-differentiated and proliferating artery cells is absent in non-regenerative P7 or adult hearts. Together, our data indicate that adult artery endothelial cells fail to drive collateral artery development due to their limited ability to de-differentiate and proliferate.

developmental biology↗

bioRxiv2022

Identification of a TNF-TNFR-like system in malaria vectors (Anopheles stephensi) likely to influence Plasmodium resistance

Identification of Plasmodium-resistance genes in malaria vectors remains an elusive goal despite the recent availability of high-quality genomes of several mosquito vectors. An. stephensi, with its three distinctly-identifiable forms at the egg stage, correlating with varying vector competence, offers an ideal species to discover functional mosquito genes implicated in Plasmodium resistance. Recently, the genomes of several strains of An. stephensi of the type-form, known to display high vectorial capacity, have been reported. Here, we report a chromosomal-level assembly of an intermediate-form of An. stephensi strain (IndInt), shown to have reduced vectorial capacity relative to a strain of type-form (IndCh). The contig level assembly with a L50 of 4 was scaffolded into chromosomes by using the genome of IndCh as the reference. The final assembly shows a heterozygous paracentric inversion, 3Li, involving 8 Mbp, which is syntenic to the extensively-studied 2La inversion implicated in Plasmodium resistance in An. gambiae involving 21 Mbp. Deep annotation of genes within the 3Li region in IndInt assembly using the state-of-the-art protein-fold prediction and other annotation tools reveals the presence of a TNF-like gene, which is the homolog of the eiger gene in Drosophila. Subsequent chromosome-wide searches revealed homologs of wengen (wgn) and grindelwald (grnd) genes in IndInt, which are known to be the receptors for eiger in Drosophila. We have identified all the genes in IndInt required for eiger-mediated signaling by analogy to TNF-TNFR system, suggesting the presence of a functionally active eiger signaling pathway present in IndInt. Comparative genomics of high-quality genome assemblies of the three type-forms with that of IndInt, reveals structurally disruptive mutations in eiger gene in all three strains of the type-form, alluding to compromised innate immunity in the type-form as the cause of high vectorial capacity in these strains. This is the first report of the presence of an intact evolutionarily-conserved TNF-TNFR signaling system in malaria vectors, with a potential role in Plasmodium resistance.

genomics↗