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Kumar, R.

Publications and source records attributed to Kumar, R..

At least 289 records · Page 16Linked to original sources

Isolation and characterization of bovine herpes virus 5 (BHV5) from cattle in India

Bovine herpesvirus 1 (BHV1) and 5 (BHV5) are genetically and antigenically related alphaherpesviruses. Infection with one virus induces protective immunity against the other. However, disease associated with BHV1 and BHV5 varies significantly; whereas BHV1 infection is usually associated with rhinotracheitis and abortion, BHV5 causes encephalitis in cattle. BHV5 outbreaks are sporadic and mainly restricted to the South American countries. We report BHV5 infection for the first time from aborted cattle in India. Based on the characteristic cytopathic effects in MDBK cells, amplification of the viral genome in PCR, differential PCR for BHV1/BHV5, nucleotide sequencing and restriction endonuclease patterns, identity of the virus was confirmed as BHV5 subtype A. Serum samples from the aborted cattle strongly neutralized both BHV1 and BHV5 suggesting an active viral infection in the herd. Upon UL27, UL44 and UL54 gene-based sequence and phylogenetic analysis, the isolated virus clustered with BHV5 strains and showed highest similarity with the Brazilian BHV5 strains. Author SummaryBHV5 causes fatal meningoencephalitis that may result in a mortality rate of up to 100% in cattle. BHV5 is rarely associated with abortion and its distribution is restricted to South American countries. Only a few cases of this disease have been reported from other countries. For the first time, we provide a strong evidence of BHV5 infection from aborted cattle in India. The finding may necessitate inclusion of BHV5 test protocol in testing of semen for sexually transmitted diseases. Also, the isolated virus would be useful for developing diagnostic, prophylactic and therapeutic agents to combat BHV5 disease in the country.

microbiology↗

OvirusTdb: A Repository of Oncolytic Viruses used in Cancer Treatment

One of the emerging technologies to fight against cancer is oncolytic virus-based immunotherapy which directly lysis tumor cells. Recently, the FDA approved an oncolytic virus named T-vec for the treatment of melanoma; several hundred other viruses are in clinical trials. In order to facilitate the scientific community to fight against cancer, we build a repository of oncolytic viruses called OvirusTdb (https://webs.iiitd.edu.in/raghava/ovirustdb/). This is a manually curated repository where information is curated from research papers and patents. The current version of the repository maintains comprehensive information on therapeutically important oncolytic viruses with 5927 records where each record has 25 fields such as the virus species, cancer cell line, synergism with anti-cancer drugs, and many more. It stores information on 09 types of DNA and 15 types of RNA viruses; 300 recombinant and 09 wildtype viral strains; tested against 124 cancer types and 427 cancer cell lines. Approximately, 1047 records show improved anti-cancer response using combinatorial approach of chemotherapeutic agents with virus strains. Nearly, 3243 and 1506 records show cancer cell death via apoptosis induction and immune activation, respectively. In summary, a user-friendly web repository of oncolytic viruses for information retrieval and analysis have been developed to facilitate researchers in designing and discovering new oncolytic viruses for effective cancer treatment.

bioinformatics↗

A novel cross talk of AtRAV1, an ethylene responsive transcription factor with MAP kinases imparts broad spectrum disease resistance in plants

Plant diseases pose a serious threat to sustainable agriculture as controlling them in eco-friendly manner remains a challenge. In this study, we establish RAV1 as a master transcriptional regulator of defense genes in model plant Arabidopsis. The overexpression of AtRAV1 provided disease resistance against necrotrophic fungal pathogen (Rhizoctonia solani) infection in A. thaliana. The transgenic lines exhibited enhanced expression of several defense genes including mitogen associated protein kinases (MAPKs) and the amplitude of their expression was further enhanced upon pathogen infection. Conversely, the atrav1 mutant plants were unable to induce the expression of these defense genes and were highly susceptible to infection. Our data suggests that upon pathogen attack, AtRAV1 transcriptionally upregulate the expression of MAPKs (AtMPK3, AtMPK4 and AtMPK6) and AtMPK3 and AtMPK6 are essential for AtRAV1 mediated disease resistance. Further, we demonstrate that AtRAV1 is a phosphorylation target of AtMPK3 (but not AtMPK6) and the phospho-defective variants of AtRAV1 are unable to induce disease resistance in A. thaliana. Considering the presence of AtRAV1 orthologs in diverse plant species, we propose that they can be gainfully deployed to control economically important diseases. In deed we observe that overexpression of tomato ortholog of AtRAV1 (SlRAV1) provides broad spectrum disease resistance against bacterial (Ralstonia solanacearum), fungal (R. solani) and viral (Tomato leaf curl virus) infections in tomato.

plant biology↗

Astrocytic mechanism of glutamate modulation underlying synchronous bursting in cortical cultures

Synchronous bursting (SB) is ubiquitous in neuronal networks. It is known for a long time that SB is driven by glutamatergic neurotransmissions but its underlying mechanism is still unclear. Recent studies show that local glutamate recycle by astrocytes can affect neuronal activities nearby. Since SB is independent of network structure, it is conceivable that the local dynamics might also be the origin of SB in networks. We investigated the effects of local glutamate dynamics on SBs in both cultures developed on multi-electrode array (MEA) systems and a tripartite synapse simulation model. In our experiments, local glutamate recycle dynamics are studied by pharmacologically targeting the astrocytic glutamate transporters (GLT-1), while neuronal firing activities and synaptic glutamate level are simultaneously monitored with MEA and glutamate sensor (iGluSnFR) expressed on surface of astrocytes respectively. We found SBs to be synchronized with glutamate transients and the manipulation of local glutamate dynamics can indeed alter the global properties of the SBs. Detailed simulation of a network with astrocytic glutamate uptake and recycle mechanisms conforming with the experimental observations revealed that astrocytes function as a slow negative feedback for the neuronal activities in the network. With this model, SB can be understood as the alternation between the positive and negative feedback in the neurons and astrocytes in the network respectively. An understanding of this glutamate trafficking dynamics is of general application to explain disordered phenomena in neuronal systems, and therefore can provide new insights into the origin of fatal seizure-like behavior. SignificanceSynchronous bursting (SB) is a hallmark of neuronal circuits. Contrary to the common belief that the SB is governed mainly by neuron-neuron interactions, this study shows that SBs are orchestrated through a generic neuron-astrocyte tripartite interactions. These interactions, identified as glutamate uptake and recycle processes in astrocytes, control the excitability of neuronal networks and shape the overall SB patterns. Our simulation results suggest that astrocytes traffic more glutamate than neurons and actively regulating glutamate proceedings around synapses. A bipartite synapse is a good approximation of a tripartite synapse provided that astrocyte-dependent glutamate content is taken into account. Our findings provide key insights into the ubiquity of SB and the origin of fatal seizure-like behavior in brain arising from astrocytic malfunction.

neuroscience↗

Cellular Fitness Phenotype of Cancer Target Genes in Repurposing Cancer Therapeutics

To define the growing significance of cellular targets of cancer drugs, we examined the fitness dependency of cellular targets or effectors of cancer drug targets across human cancer cells from 19 cancer types. We observed that the deletion of 35 out of 47 cellular mediators or targets of oncology drugs did not result in the expected loss of cell fitness in appropriate cancer types for which drugs targeting or utilizing these molecules were approved. Additionally, our analysis recognized 43 cellular targets as fitness genes in several cancer types in which these drugs were not approved, and thus, providing clues repurposing approved oncology drugs in cancer types. For example, we found the widespread upregulation and fitness dependency of the components of the mevalonate and purine biosynthesis pathways (currently targeted by bisphosphonates, statins, and pemetrexed in certain cancers) and an association between the overexpression of these targets and reduction in the overall survival duration of patients with breast and other hard-to-treat cancers, for which such drugs are not approved. In brief, the present analysis raised cautions about off-target and undesirable effects of certain oncology drugs in a subset of cancers where the in-tended cellular effectors of drug might not be fitness genes and offers a potential rationale for repurposing certain approved oncology drugs for targeted therapeutics in additional cancer types.

cancer biology↗

Conversion of a defensive toxin-antitoxin system into an offensive T6SS effector in Burkholderia

Bacteria use various kinds of toxins to either inhibit the growth of co-habiting bacteria or when needed control their own growth. Here we report that Burkholderia and certain other bacteria have altered the potential defensive function of Tox-REase-5 domain containing toxins into offensive function. The Burkholderia gladioli strain NGJ1 encodes such toxins as type VI secretion system (T6SS) effectors (Tse) and potentially deploys them to kill co-habiting rice endophytic bacteria. Notably, the immunity (Tsi) proteins associated with Tse effectors demonstrate functional similarity with the antitoxin of type II toxin-antitoxin (TA) system. Genome analysis of diverse bacteria revealed that various Tse orthologs are either encoded as TA or T6SS effectors. In addition, potential evolutionary events associated with conversion of TA into T6SS effectors have been delineated. Our results indicate that the transposition of IS3 elements has led to the operonic fusion of certain T6SS related genes with TA genes resulting in their conversion into T6SS effectors. Such a genetic change has enabled bacteria to utilize novel toxins to precisely target co-habiting bacteria.

microbiology↗

GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology

BackgroundIn past number of web-based resources has been developed in the field of Bioinformatics. These resources are heavily used by scientific community to provide solution for challenges faced by experimental researchers particularly in the field of biomedical sciences. There are number of challenges in utilizing full potential of these services that includes internet speed, limits on computing power, and security of data. In order to enhance utilities of these web-based assets, we developed a docker-based container that integrates large number resources available in literature.\n\nResultsThis paper describes GPSRdocker a docker-based container developed for providing wide-range of computational tools in the field of bioinformatics particularly in genomics, proteomics and system biology. Majority of tools integrated in GPSRdocker are based on web services developed at Raghavas group in last two decades. Broadly, these tools can be categorized in three categories; i) general scripts, ii) supporting software and iii) major standalone software. In order to facilitate students or developers working in the field of bioinformatics, we developed general scripts in Perl and Python. These general-purpose scripts serve as building block for any bioinformatics tools like computing features/descriptors of a protein. Supporting software packages includes SCIKIT, WEKA, SVMlight, and PSI-BLAST; these software packages allow one to develop/implement bioinformatics software. Major Standalone software is core of this container which allows predicting function/class of biomolecules. These tools can be classified broadly in following categories; protein annotation, epitope-based vaccines, prediction of interaction and drug discovery.\n\nConclusionA docker-based container has been developed which can be easily run on any operating system as well as it can be directly ported on cloud. Scripts can be run to build pipelines for addressing problems at system level like prediction of vaccine candidate for a pathogen. GPSRdocker including manual is available free for academic use from https://webs.iiitd.edu.in/gpsrdocker.

bioinformatics↗

Coding and noncoding somatic mutations in basal cell carcinoma

Basal cell carcinoma (BCC) represents the most commonly diagnosed human cancer among persons of European ancestry with etiology mainly attributed to sun-exposure. In this study we investigated mutations in coding and flanking regions of the PTCH1 and TP53 genes and noncoding alterations in the TERT and DPH3 promoters in 191 BCC tumors. In addition, we measured CpG methylation within the TERT hypermethylated oncological region (THOR) and transcriptions levels of the reverse transcriptase subunit. We observed mutations in PTCH1 in 59% and TP53 in 31% of the tumors. Noncoding mutations in TERT and DPH3 promoters were detected in 59% and 38% of the tumors, respectively. We observed a statistically significant co-occurrence of mutations at the four investigated loci. While PTCH1 mutations tended to associate with decreased patient age at diagnosis; TP53 mutations were associated with light skin color and increased number of nevi; TERT and DPH3 promoter with history of cutaneous neoplasms in BCC patients. TERT promoter mutations but not THOR methylation associated with an increased expression of the reverse transcriptase subunit. Our study signifies, in addition to the protein altering mutations in the PTCH1 and TP53 genes, the importance of noncoding mutations in BCC, particularly functional alterations in the TERT promoter.

cancer biology↗

Naturally Occurring Shorter and Tumor-associated Mutant RNF167 Variants Facilitates Lysosomal Exocytosis and Plasma Membrane Resealing

Lysosomal exocytosis and resealing of damaged plasma membrane play critical roles in physiological and pathological processes, including, restoration of cellular homeostasis and tumor invasion. However, to-date, only a few regulatory molecules of these biological processes have been identified. Moreover, no mutations in any of the known regulators of lysosomal exocytosis in primary tumors of patients have been characterized. Here we demonstrate that RNF167, a lysosomal associated ubiquitin ligase, negatively regulates lysosomal exocytosis by inducing perinuclear clustering of lysosomes. Importantly, we also characterized a set of novel natural mutations in RNF167, which are commonly found in diverse tumor types. We found that RNF167-K97N mutant, unlike the wild-type, localizes in the cytoplasm and does not promote perinuclear lysosomal clustering and that cells expressing RNF167-K97N exhibit dispersed lysosomes, increased exocytosis, and enhanced plasma membrane repair. Interestingly, these functional features of RNF167-K97N were shared with a naturally occurring short version of RNF167, i.e. isoform b. In brief, the results presented here reveal a novel role of RNF167 as well as its natural variants, RNF167-K97N and RNF167-b as an upstream regulator of lysosomal exocytosis and plasma membrane resealing which might play an important role in organelle dynamics or tumor progression or both.

cell biology↗

Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma using Large-scale Transcriptomics Data

The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past numerous attempts have been made to design genetic biomarkers for the identification of HCC; unfortunately, most of the studies are based on a small dataset obtained from a specific platform or lack of their reasonable validation performance on the external datasets. In order to identify a universal expression-based diagnostic biomarker panel for HCC that can be applicable across multiple platforms; we have employed large scale transcriptomic profiling datasets containing a total of 2,306 HCC and 1,655 non-tumorous tissue samples. These samples were obtained from 29 studies generated by mainly four types of profiling techniques include Affymetrix, Illumina, Agilent and High-throughput-seq, which implemented a wide range of platforms. Firstly, we scrutinized 26 genes that are differentially expressed or regulated in uniform pattern among numerous datasets. Subsequently, we identified three genes (FCN3, CLEC1B, & PRC1) panel-based HCC biomarker using different machine learning techniques include Simple-threshold based approach, Extra Trees, Support Vector Machine, Random Forest, K Neighbors Classifier, Logistic Regression etc. Three-genes panel-based HCC biomarker classified HCC samples and non-tumorous samples of training and three external validation datasets with an accuracy between 93 to 98% and AUROC (Area Under Receiver Operating Characteristic curve) in a range of 0.97 to 1.0. Furthermore, the prognostic potential of these genes was evaluated on TCGA cohort and GSE14520 cohort using univariate survival analysis revealed that these genes are independent prognostic indicators for various types of the survivals, i.e. OS (Overall Survival), PFS (Progression-Free Survival), DFS/RFS (Disease-Free Survival/Recurrence-Free Survival) and DSS (Disease-Specific Survival) of HCC patients and significantly stratify high-risk and low-risk HCC patients (p-value <0.05). In conclusion, we identified a universal platform-independent three genes-based biomarker that can predict HCC patients with high precision; also possess significant prognostic potential. Eventually, to provide service to the scientific community, we developed a webserver HCCPred based on the above study (http://webs.iiitd.edu.in/raghava/hccpred/).

bioinformatics↗

Assessment of Polygenic Architecture and Risk Prediction based on Common Variants Across Fourteen Cancers

We analyzed summary-level data from genome-wide association studies (GWAS) of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) contributing to risk, as well as the distribution of their associated effect sizes. All cancers evaluated showed polygenicity, involving at a minimum thousands of independent susceptibility variants. For some malignancies, particularly chronic lymphoid leukemia (CLL) and testicular cancer, there are a larger proportion of variants with larger effect sizes than those for other cancers. In contrast, most variants for lung and breast cancers have very small associated effect sizes. For different cancer sites, we estimate a wide range of GWAS sample sizes, required to explain 80% of GWAS heritability, varying from 60,000 cases for CLL to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores, compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that polygenic risk scores have substantial potential for risk stratification for relatively common cancers such as breast, prostate and colon, but limited potential for other cancer sites because of modest heritability and lower disease incidence.

genetics↗

TLR3 Deficiency Leads to Altered Immune Responses to Chlamydia trachomatis Infection in Human Oviduct Epithelial Cells

Reproductive tract pathology caused by Chlamydia trachomatis infection is an important global cause of human infertility. To better understand the mechanisms associated with Chlamydia-induced genital tract pathogenesis in humans, we used CRISPR genome editing to disrupt TLR3 function in the human oviduct epithelial (hOE) cell-line OE-E6/E7, in order to investigate the possible role(s) of TLR3 signaling in the immune response to Chlamydia. Disruption of TLR3 function in these cells significantly diminished the Chlamydia-induced synthesis of several inflammation biomarkers including IFN-{beta}, IL-6, IL-6Ra, sIL-6R{beta} (gp130), IL-8, IL-20, IL-26, IL-34, sTNF-R1, TNFSF13B, MMP-1, MMP-2, and MMP-3. In contrast, the Chlamydia-induced synthesis of CCL-5, IL-29 (IFN{lambda}1) and IL-28A (IFN{lambda}2) were significantly increased in the TLR3-deficient hOE cells when compared to their wild-type counterparts. Our results propose a role for TLR3 signaling in limiting the genital tract fibrosis, scarring, and chronic inflammation often associated with human chlamydial disease. Interestingly, we saw that Chlamydia infection induced the production of biomarkers associated with persistence, tumor metastasis, and autoimmunity such as soluble CD163 (sCD163), chitinase-3-like protein 1, osteopontin, and pentraxin-3 in the hOE cells; however, their expression levels were significantly dysregulated in the TLR3-deficient hOE cells. Finally, we demonstrate using the hOE cells that TLR3 deficiency resulted in an increased amount of chlamydial LPS within the Chlamydia inclusion, which is suggestive that TLR3 deficiency leads to enhanced chlamydial replication and possibly increased genital tract pathogenesis during human infection.\n\nAbbreviationshOE, human OE-E6/E7 cells; TLR3 KO, TLR3 knockout cell line; poly (I:C), Polyinosinic-polycytidylic acid sodium salt.

microbiology↗

Sustained exposure to trypsin causes cells to transition into a state of reversible stemness that is amenable to transdifferentiation

During cell culture, trypsin, a serine protease, is applied to cells for 5-10 minutes to separate them from each other and from the underlying substratum so that they can be transferred to a different vessel, for re-plating, after growth medium containing 10 % serum has been added to the cells, in a well-known technique known as passaging. The serum in the growth medium contains alpha-1 antitrypsin, which is a potent inhibitor of trypsin, elastase and other serine proteases. Although what is used is bovine serum in which levels of proteins could be different from levels seen in humans, normal human serum contains A1AT (> 1 mg/ml; > [~]18 {micro}mol/L) as well as trypsin itself (< 460 ng/ml, or [~]0.02 {micro}mol/L), with the former in a [~]900-fold molar excess over the latter. Thus, it may be assumed there is also enough A1AT in the bovine serum added during passaging, to neutralize the trypsin ([~]100 M) present in the small volume of trypsin-EDTA solution used to separate cells. What are the consequences of not adding serum, when growth medium is added, or of maintaining cells for a few tens of hours in the presence of trypsin, in a serum-free growth medium? What does such sustained exposure to trypsin during cell culture do to cells? More generally, what are the responses of cells within an organism to the balance of trypsin and A1AT in the serum that bathes them constantly? We know that excesses and deficiencies in the levels of either trypsin or A1AT are associated with disease. We know that cellular metabolism can be influenced through signaling involving protease activated membrane GPCR receptors (PAR1-4). In particular, we know of a receptor called PAR2, which is specifically activated by trypsin, expressed by cells at baseline levels, and upregulated through some feedback involving trypsin-activation. We also know that cells at sites of injury or inflammation produce and secrete trypsin, and that this trypsin can act locally upon cells in a variety of ways, all of which have probably not yet been elucidated. Here, we show that sustained exposure to trypsin induces cells to de-differentiate into a stem-like state. We show that if serum is either not added at all, or added and then washed away (after confluency is attained), during cell culture, all cells exposed to exogenously-added trypsin undergo changes in morphology, transcriptome, secretome, and developmental potential, and transition into a state of stemness, in minimal essential medium (MEM). Regardless of their origins, i.e., independent of whether they are derived from primary cultures, cell lines or cancer cell lines, and regardless of the original cell type used, exposure to trypsin ([~]10 {micro}M; [~]250 {micro}g/ml) at a concentration 10-fold lower than that used to separate cells during passaging ([~]100 M), over a period of 24-48 hours, causes cells to (1) become rounded, (2) cluster together, (3) get arrested in the G0/G1 stage of the cell cycle, (4) display increased presence of 5-hydroxymethyl cytosine in their nuclei (indicative of reprogramming), (5) display increased levels of activated PAR2 membrane receptor, (6) become capable of very efficient efflux of drug-mimicking dyes, (7) express factors and/or markers known to be associated with induction and/or attainment of stemness, with predominant expression of Sox-2 within cell nuclei; (8) display overall transcriptomic (RNASEQ) profiles characteristic of stemness; (9) secrete stemness-associated factors such as bFGF, and IL-1{beta}, into the medium, in quantities sufficient to support autocrine function (in certain cases); and (10) display increased conversion of pro-MMPs into activated MMPs in the cells secretome. Notably, (11) inclusion of differentiating and/or transdifferentiating factors in the environment of such cells causes them to express markers associated with ectodermal, endodermal and mesodermal cell lineages and/or transdifferentiate into specific cell types, e.g., adipocytes or osteocytes.\n\nMost intriguingly of all, (12) the attained stemness appears to be reversible, i.e., withdrawal of trypsin from the medium prior to addition of any differentiating factors restores cells to their original morphology, also over a period of 24-48 hours. Further, (13) a known PAR2 agonist, and a known PAR2 antagonist, respectively, appear to mimic effects of trypsin addition and withdrawal/inhibition. In addition, (14) in experiments with a particular cancer characterized by high levels of stemness (TNBC; triple negative breast cancer), tissues of all TNBC patients express high levels of the PAR2 receptor, as do cells from a known TNBC-derived cell line. We propose that through their effects on PAR levels, and PAR activation status, the balance of trypsin and A1AT levels in organisms normally regulates cellular potential for differentiation, de-differentiation or transdifferentiation, in a local manner, with the default status being that A1AT inhibits trypsin and keeps cells differentiated, whereas sustained trypsin signaling at sites of injury through local production of trypsin helps to place cells into an intermediate state of stemness from which they can either return to their original differentiated state(s), or undergo factor-dependent differentiation, or transdifferentiation, into specific cell types or lineages. It is also possible that reduction in A1AT promotes regeneration. We present a core (RNASEQ-derived) signature for trypsin-induced stemness in human corneal fibroblasts (HCFs) and cells from a retinal pigment epithelial cell line (ARPE-19), noting that there are commonalities as well as differences between them, which suggests that this core signature will be amended with RNASEQ studies of more trypsin-exposed cell types. Our findings offer a possible explanation for the recent unexplained increase in the preference for serum-free protocols used for induction and maintenance of stemness involving iPSCs and mesenchymal stem cells. Also, our studies suggest a new approach to understanding and exploiting how organisms might use stemness, in adults. Trypsin-dominated serine protease induced reprogramming (SPIR) might offer a more natural, and suitably softer, method of reprogramming of cellular developmental potential for local regenerative requirements in animal tissues.

cell biology↗

Olsenella lakotia SW165 sp. nov., an acetate producing obligate anaerobe with a GC rich genome

A Gram-positive and obligately anaerobic bacterium was isolated from cecal content of feral chickens in Brookings, South Dakota, USA. The microorganism grew at 37-45{degrees} C and pH 6-7.5. This strain produced acetic acid as the primary metabolic end product. Major fatty acids were C12:0, C14:0, C14:0 DMA and summed feature 1 (C13:1 at 12-13 and C14:0 aldehyde). Phylogenetic analyses based on 16S rRNA gene sequence suggested that strain SW165 belongs to the family Atopobiaceae with the closest relatives being Olsenella profusa DSM 13989T (96.33% similarity), Olsenella umbonate DSM 26220T (96.18%) and Olsenella uli DSM 7084T (96.03%). Genome sequencing revealed a genome size of 2.43 Mbp with a G+C content of 67.59 mol%, which is the highest G+C content among members of the genus Olsenella. Phylogenetic and phenotypic comparison indicated that strain SW165 represents a novel species of the genus Olsenella, for which the name Olsenella lakotia sp. nov. is proposed. The type strain is SW165 (=DSM 107283T).

microbiology↗

Early Life Supraphysiological Levels of Oxygen Exposure Permanently Impairs Hippocampal Mitochondrial Function

Preterm infants requiring prolonged oxygen therapy often develop cognitive dysfunction later life. Previously, we reported that 14-week-old young adult mice exposed to hyperoxia as newborns had spatial memory deficits and hippocampal shrinkage. We hypothesized that the underlying mechanism was the induction of hippocampal mitochondrial dysfunction by neonatal hyperoxia. C57BL/6j mouse pups were exposed to 85% oxygen or air from P2 - P14. Hippocampal proteomic analysis was performed in young adult mice (14 weeks). Mitochondrial bioenergetics were measured in neonatal (P14) and young adult mice. We found that hyperoxia exposure reduced mitochondrial ATP-linked oxygen consumption and increased state 4 respiration linked proton leak in both neonatal and young adult mice. Following hyperoxia exposure, complex I function was decreased at P14 but increased in young adult mice. Proteomic analysis revealed that neonatal hyperoxia exposure decreased complex I NDUFB8 and NDUFB11 and complex IV 7B subunits, but increased complex III subunit 9 in young adult mice. In conclusion, neonatal hyperoxia permanently impairs hippocampal mitochondrial function and alters complex I function. These changes may account for memory deficits seen in preterm survivors following prolonged oxygen supplementation and may potentially be a contributing mechanism in other oxidative stress associated cognitive disorders.

neuroscience↗

Endothelial CXCL5 negatively regulates myelination and repair after white matter stroke

Cerebral small vessel disease and resulting white matter pathologies are worsened by cardiovascular risk factors including obesity. The molecular changes in cerebral endothelial cells caused by chronic cerebrovascular risk factors remain unknown. We developed a novel approach for molecular profiling of chronically injured cerebral endothelial cells using cell-specific translating ribosome affinity purification (RiboTag) with RNA-seq in Tie2-Cre:RiboTag mice. We used this approach to identify the transcriptome of white matter endothelial cells after the onset of diet-induced obesity (DIO). DIO induces an IL-17B signaling pathway that acts on the cerebral endothelia through IL-17Rb to increase levels of both circulating CXCL5 and local endothelial expression of CXCL5 in both the DIO mouse model and in humans with imaging or pathologic evidence of cerebral small vessel disease. In the white matter, endothelial CXCL5 acts as a chemoattractant and promotes the association of oligodendrocyte progenitor cells (OPCs) with cerebral endothelia increasing vessel-associated OPC cell number and triggers OPC gene expression programs regulating migration and chemokine receptor activation. Targeted blockade of IL-17B with peripheral antibody administration reduced the population of vessel-associated OPCs by reducing endothelial CXCL5 expression. CXCL5-mediated sequestration of OPCs to white matter vasculature impairs OPC differentiation after a focal white matter ischemic lesion. DIO promotes a unique white matter endothelial-to-oligodendrocyte progenitor cell signaling pathway that compromises brain repair after stroke.

neuroscience↗

Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning

Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need to identify the specific genomic factors responsible for, or accompanying Invasive Ductal Carcinoma (IDC) progression stages, which can aid the determination of the correct cancer stages. We have developed two-class machine-learning classification models to differentiate the early and late stages of invasive ductal carcinoma. The prediction models are trained with RNA-seq gene expression profiles representing different IDC stages of 610 patients, obtained from The Cancer Genome Atlas (TCGA). Different supervised learning algorithms were trained and evaluated with an enriched model learning, facilitated by different feature selection methods. We also developed a machine-learning classifier trained on the same datasets with training sets reduced data corresponding to IDC driver genes. Based on these two classifiers, we have developed a web-server Duct-BRCA-CSP to predict early stage from late stages of IDC based on input RNA-seq gene expression profiles. The analysis conducted by us also enables deeper insights into the stage-dependent molecular events accompanying breast ductal carcinoma progression. The server is publicly available at http://bioinfo.icgeb.res.in/duct-BRCA-CSP.

bioinformatics↗

Preclinical immunoPET imaging of glioblastoma-infiltrating myeloid cells using Zirconium-89-labeled anti-CD11b antibody

PurposeGlioblastoma is a lethal brain tumor, heavily infiltrated by tumor-associated myeloid cells (TAMCs). TAMCs are emerging as a promising therapeutic target as they suppress antitumor immune responses and promote tumor cell growth. Quantifying TAMCs using non-invasive immunoPET could facilitate patient stratification for TAMC-targeted treatments and monitoring of treatment efficacy. As TAMCs uniformly express the cell surface marker, integrin CD11b, we evaluated a 89Zr-labeled anti-CD11b antibody for non-invasive imaging of TAMCs in a syngeneic orthotopic mouse glioma model.\n\nProceduresA human/mouse cross-reactive anti-CD11b antibody (clone M1/70) was conjugated to a DFO chelator and radiolabeled with Zr-89. PET/CT and biodistribution with or without a blocking dose of anti-CD11b Ab were performed 72 hours post-injection of 89Zr-anti-CD11b Ab in mice bearing established orthotopic syngeneic GL261 gliomas. Flow cytometry and immunohistochemistry of dissected GL261 tumors were conducted to confirm the presence of CD11b+ TAMCs.\n\nResultsSignificant uptake of 89Zr-anti-CD11b Ab was detected at the tumor site (SUVmean = 2.60 {+/-} 0.24) compared with the contralateral hemisphere (SUVmean = 0.6 {+/-} 0.11). Blocking with a 10-fold lower specific activity of 89Zr-anti-CD11b Ab markedly reduced the SUV in the right brain (SUVmean = 0.11 {+/-} 0.06), demonstrating specificity. Spleen and lymph nodes (myeloid cell rich organs) also showed high uptake of the tracer, and biodistribution analysis correlated with the imaging results. CD11b expression within the tumor was validated using flow cytometry and immunohistochemistry, which showed high CD11b expression primarily in the tumoral hemisphere compared to the contralateral hemisphere.\n\nConclusionThese data establish that 89Zr-anti-CD11b Ab immunoPET targets CD11b+ cells (TAMCs) with high specificity in a mouse model of GBM, demonstrating the potential for non-invasive quantification of tumor infiltrating CD11b+ immune cells during disease progression and immunotherapy in patients with GBM.

immunology↗