Primary antibiotic resistance of Helicobacter pylori in India over the past two decades: A systematic review.

BACKGROUND: Helicobacter pylori antibiotic resistance has undergone vast changes in the last two decades. No systematic review has been done on the prevalence of antibiotic resistant H. pylori in India in the last two decades. We evaluated the pattern of resistance rates across various regions of India. MATERIALS AND METHODS: A systematic review of the geographical variations in antibiotic resistance pattern of H. pylori was conducted using PubMed, Google Scholar, Web of Science, Science Direct, etc. for articles published between January 1, 2000 and May 30, 2023. Random effects-model-based Cochran's Q test, I2 statistics, and chi-squared tests were used to measure heterogeneity. RESULTS: The overall resistance was highest against metronidazole (77.65%) followed by amoxicillin (37.78%), levofloxacin (32.8%), clarithromycin (35.64%), furazolidone (12.03%), and tetracycline (11.63%). 14.7% of the H. pylori isolates were multi-drug resistant. Under meta-analysis of each antibiotic, high heterogeneity levels were observed having I2 ranges from 86.53% to 97.70% at p < 0.0001. In sub-group analysis, Metronidazole has a stable rate of resistance as compared to other antibiotics. Other antibiotics have had a downtrend in the last 5 years except for levofloxacin, which has had an uptrend in the resistance rate for the past 5 years. Hence, one should avoid using metronidazole for any kind of first-line treatment. CONCLUSIONS: Metronidazole resistance is high in most regions of India except Assam and Mumbai while clarithromycin is found to be ineffective in South India, Gujarat, and Kashmir. As compared to other antibiotics, resistance to amoxicillin is generally low except in certain regions (Hyderabad, Chennai, and the Gangetic belt of North India). Tetracycline and Furazolidone have the least resistance rates and should be part of anti- H. pylori regimens. The resurgence of high single and multidrug resistance to the commonly used drugs suggests the need for newer antibiotics and regular resistance surveillance studies.

(2-Cyclohexyl-1-methylpropyl) cyclohexane isolated from garlic extract exhibits antidepressant-like activity: extraction, docking, drug-like properties, molecular dynamics simulations and MM/GBSA studies.

Depressive disorders are among most common psychiatric diseases and second most common form of psychiatric illness globally. Commonly available chemical drugs used for treatment of nervous system disorders exert undesirable effects. Therefore, there is a growing need towards exploring novel antidepressants of herbal origin. Earlier, the antidepressant effect of methanolic extract of garlic has been shown. In this study, the ethanolic extract of garlic was prepared and chemically analysed using Gas Chromatography - Mass Spectrometry (GC-MS) screening. A total of 35 compounds were found to be present, which might act as antidepressant. Using computational analyses, these compounds were screened as potential inhibitors (selective serotonin reuptake inhibitor (SSRI)) against serotonin transporter (SERT)/leucine receptor (LEUT). In silico docking studies and other physicochemical, bioactivity and ADMET studies resulted in the selection of compound 1 ((2-Cyclohexyl-1-methylpropyl) cyclohexane) as potential SSRI (binding energy -8.1 kcal/mol) compared to known reference SSRI fluoxetine (binding energy -8.0 kcal/mol). Analysis of conformational stability, residue flexibility, compactness, binding interactions, solvent accessible surface area (SASA), dynamic correlation, and binding free energy predicted from molecular mechanics (MD) with generalised Born and surface area solvation (MM/GBSA) studies revealed formation of a more stable SSRI like complex with compound 1 having strong inhibitory interaction compared to known SSRI fluoxetine/reference complex. Thus, compound 1 may act as an active SSRI leading to discovery of potential antidepressant drug.Communicated by Ramaswamy H. Sarma.

Network analysis of transcriptomic data uncovers molecular signatures and the interplay of mRNAs, lncRNAs, and miRNAs in human embryonic stem cells.

Growing evidence has shown that besides the protein coding genes, the non-coding elements of the genome are indispensable for maintaining the property of self-renewal in human embryonic stem cells and in cell fate determination. However, the regulatory mechanisms and the landscape of interactions between the coding and non-coding elements is poorly understood. In this work, we used weighted gene co-expression network analysis (WGCNA) on transcriptomic data retrieved from RNA-seq and small RNA-seq experiments and reconstructed the core human pluripotency network (called PluriMLMiNet) consisting of 375 mRNA, 57 lncRNA and 207 miRNAs. Furthermore, we derived networks specific to the naïve and primed states of human pluripotency (called NaiveMLMiNet and PrimedMLMiNet respectively) that revealed a set of molecular markers (RPS6KA1, ZYG11A, ZNF695, ZNF273, and NLRP2 for naive state, and RAB34, TMEM178B, PTPRZ1, USP44, KIF1A and LRRN1 for primed state) which can be used to distinguish the pluripotent state from the non-pluripotent state and also to identify the intra-pluripotency states (i.e., naïve and primed state). The lncRNA DANT1 was found to be a crucial as it formed a bridge between the naive and primed state-specific networks. Analysis of the genes neighbouring DANT1 suggested its possible role as a competing endogenous RNA (ceRNA) for the induction and maintenance of human pluripotency. This was computationally validated by predicting the missing DANT1-miRNA interactions to complete the ceRNA circuit. Here we first report that DANT1 might harbour binding sites for miRNAs hsa-miR-30c-2-3p, hsa-miR-210-3p and hsa-let-7b-5p which may influence pluripotency.

Assigning new supergroups V and W to the Wolbachia diversity.

Wolbachia are endosymbiotic and alphaproteobacteria that belong to the order Rickettsiales. They are known to infect half of the insect population and cause host manipulation, and have been categorized into 19 monophyletic lineages called supergroups. Recently, two strains, wCfeJ and wCfeT were isolated from cat fleas (Ctenocephalides felis), but their supergroup relationships were not assigned. In this article, we have attempted to classify these two novel strains and establish their evolutionary lineage (i.e., supergroup designation). For this we performed 16S rRNA similarity analysis and reconstructed 16S rRNA phylogeny of 52 Wolbachia strains (including two novel strains) belong to 19 supergroups. We also performed average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) studies to measure genomic similarity between the two novel genomes. The results revealed that 16S rRNA similarity between the two novel strains is 97.94%, which is below the threshold value of 98.6% and phylogeny shows that they are placed at the two different positions (i.e., showing distinct evolutionary lineages). Further, genomic similarity analysis revealed that the novel genomes have ANI and dDDH values 79% and 22.4% respectively, which were below the threshold value of ANI (95%) and dDDH (70%). These results suggested that the novel strains neither shared a species boundary between them nor with any other previously identified supergroups, which designate them as two new supergroups, namely supergroup V (strain wCfeJ) and supergroup W (strain wCfeT).

Design, synthesis and antimicrobial activity of novel quinoline derivatives: an in silico and in vitro study.

A series of new quinoline derivatives has been designed, synthesized and evaluated as antibacterial and antifungal agents functioning as peptide deformylase enzyme (PDF) inhibitors and fungal cell wall disruptors on the basis of computational and experimental methods. The molecular docking and ADMET assessment aided in the synthesis of quinoline derivatives starting from 6-amino-4-methyl-1H-quinoline-2-one substituted with different types of sulfonyl/benzoyl/propargyl moieties. These newly synthesized compounds were evaluated for their in vitro antibacterial and antifungal activity. Antibacterial screening of all compounds showed excellent MIC value (MIC, 50 - 3.12 µg/mL) against bacterial strains, viz. Bacillus cerus, Staphylococcus, Pseudomonas and Escherichia coli. Compounds 2 and 6 showed better activity. Fractional inhibitory concentration (FIC) values of compounds were lowered by 1/2 to 1/128 of the original MIC values when a combinatorial screening with reference drugs was performed. Further, antifungal screening against fungal strains, viz. A. flavus, A. niger, F. oxysporum and C. albicans also showed that all compounds were potentially active and compound 6 being the most potent. Further, the cytotoxicity experiments revealed that compound 6 was the least toxic molecule. The molecular dynamics (MD) simulation investigations elucidated the conformational stability of compound 6-PDF complex with flexible binding pocket residues. The highest number of stable hydrogen bonds with the PDF residues during the entire simulation time illustrated strong binding affinity of compound 6 with PDF.Communicated by Ramaswamy H. Sarma.

Analysis of Functional Status of Genetically Diverse OipA Gene in Indian Patients with Distinct Gastrointestinal Disease.

Helicobacter pylori (H. pylori,) a genetically diversified bacteria which colonizes human gastric epithelium, is now established causative agent for gastric cancer worldwide. Outer membrane protein (OMP)-coding genes of H. pylori are responsible for attachment and colonization of bacteria. These genes which code proteins on outer membrane of H. pylori is a group of 33 genes which with other virulent genes are causative of giving rise to disease-causing factors in the host. OipA (Outer inflammatory protein A), a participant of Hop family of OMP, is effective in acting as a biomarker for studying progression of diseases like gastric cancer. The functionality of oipA gene is regulated by phase variation within CT repeat pattern. It is the expression, i.e., "on"/"off" of oipA gene which is related with the development of distinct gastric diseases. 40 amplified DNA sequences were studied to investigate functional status of oipA. Our results reveal 57.2% isolates with functional oipA along with significant association with cagA (P = 0.0011) and vacAs1m1/s1m2 (P = 0.0034, P = 0.0093) genotypes, respectively. In conclusion, our results indicate diversity in CT repeat pattern among Indian H. pylori strains. The prevalence of functional oipA gene was found to be ranging between 50% and 64.2% though it did not show significant correlation between functional oipA and disease outcome.

The LCNetWork: An electronic representation of the mRNA-lncRNA-miRNA regulatory network underlying mechanisms of non-small cell lung cancer in humans, and its explorative analysis.

Advancement in genomics technologies have made it possible to identify the genes and their interaction/regulation involved in NSCLC, but the interaction information are scattered over the literature. Thus, there is a need of assembling all the available interaction/regulation information in a single platform which will provide a complete view of NSCLC mechanisms. Further, analysis of the mechanisms underlying NSCLC in humans would benefit substantially from easy access to an electronic network. We, therefore, used manual literature curation and integrated all the existing knowledge of NSCLC biomarkers (mRNA, lncRNA and miRNA) into a single conceptual platform represented through a biological network, termed the LCNetWork which represents 345 genes (195 mRNA, 46 lncRNA and 104 miRNA) and 500 direct interactions that are crucial to the regulation of NSCLC in humans. Furthermore, through exploratory data analysis, we have reported four mRNAs (PLK1, ZNF300, NKX2-1, and EGR1), one lncRNA (UCA1) and five miRNAs (MIR133B, MIR326, MIR429, MIR451A, and MIR944) and MIR193A/UCA1/EGFR axis crucial to NSCLC mechanisms. The GO results suggested their role in post-transcriptional gene silencing and RNA polymerase II activities as causes leading to cancer metastasis. The LCNetWork provides up-to-date knowledge of the genes and their interaction/regulation information in NSCLC and is capable of revealing multiple cancer-gene landscapes. Additionally, the LCNetWork has been provided in the Network Data Exchange portal as an electronic circuit for growth by community-level effort.

In silico design, synthesis and anti-HIV activity of quinoline derivatives as non-nucleoside reverse transcriptase inhibitors (NNRTIs).

A series of quinoline derivatives has been designed, synthesized and screened for their anti-HIV properties. The drug-like properties of compounds were evaluated first and then molecular docking using DS v20.1.0.19295 software showed that the compounds behaved as non-nucleoside reverse transcriptase inhibitors (NNRTIs) while interacting at the allosteric site of target HIV-RT protein (PDB:3MEC). The docking results revealed that all compounds formed hydrogen bonds with Lys101, Lys103, Val179, Tyr188, Gln190, Gly190, Pro225, Phe227, and Tyr318, and showed π-interaction with Tyr188 and Tyr318. TOPKAT (Toxicity Prediction by Komputer Assisted Technology) results confirmed that the compounds were found to be less toxic than the reference drugs. Density functional theory (DFT) analysis was performed to assess the binding affinity of all compounds. Further, molecular dynamics (MD) simulations were performed on compound 6 and delavirdine with HIV-RT enzyme. Comprehensive MD analyses showed a similar pattern of conformational stability and flexibility in both the complexes suggesting alike inhibitory action. The hydrogen-bonding interactions and the binding energy of active-site residues for the compound 6 complex revealed strong inhibitory activity than the reference (delavirdine) complex. Thus, the compound 6 might act as a potential inhibitor against HIV-RT. Overall, this study revealed that compound 6 (5-hydroxy-N-(4-methyl-2-oxo-1,2-dihydroquinolin-8-yl) thiophene-2-sulfonamide) has prudent anti-HIV activity against both HIV-1 (SI = 2.65) and HIV-2 (SI = 2.32) that can further be utilised in drug discovery against HIV virus.

Recombination in sarbecovirus lineage and mutations/insertions in spike protein are linked to the emergence and adaptation of SARS-CoV-2.

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan city, China in December 2019 and thereafter its spillover across the world has created a global pandemic and public health crisis. Right after, there has been intense interest in understanding how the SARS-CoV-2 originated and evolved. This paper also aims to shed light on the origin and evolution of SARS-CoV- 2. A consensus result based on whole genome phylogeny, gene tree analysis, and genetic similarity study revealed that SARS-CoV-2 evolved from Bat-CoV-RaTG13. Furthermore, recombination analysis indicated that probable origin of SARS-CoV-2 is the results of ancestral intra-species recombination events between bat coronaviruses belonging to Sarbecovirus sub-genus. Multiple sequence alignment (MSA) revealed the insertion of four amino acid residues "PRRA" (Proline-Arginine-Arginine-Alanine) to the S1/S2 site in the spike protein of SARS-CoV-2, and structural modeling of spike protein of bat-CoV-RaTG13 also shows a high number of mutations at one of the receptor binding domains (RBD). Acquisition of the furin cleavage sites ("PRRA") along with high number of mutations at one of its RBD is probably responsible for the adaptation of SARS-CoV-2 into human systems. Furthermore, the codon adaptation index (CAI) was used to quantify the magnitude of adaptive efficacy of SARS-CoV-2 in human host in comparison with SARS-CoV. The CAI result showed a relatively less adaptive efficacy of the newly emerged SARS-CoV-2 to the human systems, which might be an indication of its mild clinical severity and progression compared to SARS-CoVs.

Transcriptomic Analysis of Human Naïve and Primed Pluripotent Stem Cells.

Over the last decade, RNA-Sequencing (RNA-Seq) has revolutionized the field of transcriptomics due to its sheer advantage over previous technologies for studying gene expression. Even the domain of stem cell bioinformatics has benefited from these advancements. It has helped look deeper into how the process of pluripotency is maintained by stem cells and how it may be exploited for application in regenerative medicine. However, as it is still an evolving technology, there is no single accepted protocol for RNA-Seq data analysis. From a wide array of tools and/or algorithms available for the purpose, researchers tend to develop a pipeline that is best suited for their sample, experimental design, and computational power. In this tutorial, we describe a pipeline based on open-source tools to analyze RNA-Seq data from naïve and primed state human pluripotent stem cell samples. Precisely, we show how RNA-Seq data can be downloaded from databases, processed, and used to identify differentially expressed genes and construct a co-expression network. Further, we also show how the list of interesting genes obtained from differential expression testing or co-expression network be analyzed to gain biological insights.

Design, synthesis, and molecular dynamics simulation studies of quinoline derivatives as protease inhibitors against SARS-CoV-2.

A new series of quinoline derivatives has been designed and synthesized as probable protease inhibitors (PIs) against severe acute respiratory syndrome coronavirus 2. In silico studies using DS v20.1.0.19295 software have shown that these compounds behaved as PIs while interacting at the allosteric site of target Mpro enzyme (6LU7). The designed compounds have shown promising docking results, which revealed that all compounds formed hydrogen bonds with His41, His164, Glu166, Tyr54, Asp187, and showed π-interaction with His41, the highly conserved amino acids in the target protein. Toxicity Prediction by Komputer Assisted Technology results confirmed that the compounds were found to be less toxic than the reference drug. Further, molecular dynamics simulations were performed on compound 5 and remdesivir with protease enzyme. Analysis of conformational stability, residue flexibility, compactness, hydrogen bonding, solvent accessible surface area (SASA), and binding free energy revealed comparable stability of protease:5 complex to the protease: remdesivir complex. The result of hydrogen bonding showed a large number of intermolecular hydrogen bonds formed between protein residues (Glu166 and Gln189) and ligand 5, indicating strong interaction, which validated the docking result. Further, compactness analysis, SASA and interactions like hydrogen-bonding demonstrated inhibitory properties of compound 5 similar to the existing reference drug. Thus, the designed compound 5 might act as a potential inhibitor against the protease enzyme.Communicated by Ramaswamy H. SarmaHighlightsQuinoline derivatives have been designed as protease inhibitors against SARS-CoV-2.The compounds were docked at the allosteric site of SARS-CoV-2-Mpro enzyme (PDB ID: 6LU7) to study the stability of protein-ligand complex.Docking studies indicated the stable ligand-protein complexes for all designed compounds.The Toxicity Prediction by Komputer Assisted Technology protocol in DS v20.1.0.19295 software was used to evaluate the toxicity of the designed quinoline derivatives.Molecular dynamics studies indicated the formation of stable ligand-Mpro complexes.

The Synergistic Role of Tip α, Nucleolin and Ras in Helicobacter pylori Infection Regulates the Cell Fate Towards Inflammation or Apoptosis.

Infection with Helicobacter pylori (H. pylori) leads to a fork in the road situation where it is critical and complex to judge the fate of the cell. We propose for the first time an in silico representation of a protein level network model that can unfold the mystery behind the cell fate decision between inflammation or cell proliferation or cell death. Upon infection TNF inducible protein α (Tip α) is internalised after binding with the cell surface receptor Nucleolin which is overexpressed on the cell surface thereby activating the Ras pathway. Tip α, Nucleolin and Ras decides the cell fate for apoptosis or abnormal cell proliferation along with ulcers in the gastric tract, hence we term it as the "death triad", which otherwise triggers the inflammatory pathway through downstream signalling of NF-κß. A series of proteins involved in the signalling cascade are portrayed through compartmentalization of the bacteria and the gut wall. The depicted network works synchronously toward an overarching goal of deciding between apoptosis or inflammation or proliferation. The model has been validated by simulating it with existing transcriptomic data along with clinical findings from patients infected with H. pylori across different regions in India. The results clearly indicate that for a short period of time there is increased binding of Tip α to Nucleolin and the receptor starts to saturate. This increases the tenacity of binding and the cell triggers an inflammatory cascade reaction which involves proinflammatory cytokines such as TNF α thereby progressing to inflammation by activating NF-κß downstream. On the other hand, Ras involved in interaction with nucleolin can be present both in its activated or inactivated state. Binding of Tip α as a monomer leads to desensitization of Nucleolin leading to cell survival and proliferation.

Decoding molecular markers and transcriptional circuitry of naive and primed states of human pluripotency.

Pluripotent stem cells (PSCs) have been observed to occur in two distinct states - naive and primed. Both naive and primed state PSCs can give rise to tissues of all the three germ layers in vitro but differ in their potential to generate germline chimera in vivo. Understanding the molecular mechanisms that govern these two states of pluripotency in human can open a plethora of opportunities for studying early embryonic development and in biomedical applications. In this work, we use weighted gene co-expression network analysis (WGCNA) to identify the key molecular makers and their interactions that define the two distinct pluripotency states. Signed hybrid network was reconstructed from transcriptomic data (RNA-seq) of naive and primed state pluripotent samples. Our analysis revealed two sets of genes that are involved in the establishment and maintenance of naive and primed states. The naive state genes were found to be enriched for biological processes and pathways related to metabolic processes while primed state genes were associated with system development. We further filtered these lists to identify the intra-modular hubs and the hub transcription factors (TFs) for each group. Validation of the identified TFs was carried out using independent microarray datasets and we finally present a list of 52 and 33 TFs as the set of core TFs that are responsible for the induction and maintenance of naive and primed states of pluripotency in human, respectively. Among these, the TFs ZNF275, ZNF232, SP4, and MSANTD3 could be of interest as they were not reported in previous studies.

Common miRNAs, candidate genes and their interaction network across four subtypes of epithelial ovarian cancer.

Epithelial ovarian cancer (EOC) is categorized into four major histological subtypes such as clear cell carcinoma (CCC), endometrioid carcinoma (EC), mucinous carcinoma (MC), and serous carcinoma (SC). Heterogeneity of the EOC leads to different clinical outcomes of the disease, although all the subtypes are originated from the same layer of tissue. Therefore, it is of interest to identify the common candidate genes, miRNA and their interaction network in four the subtypes of EOC. A comparative gene expression analysis identified 248 common differentially expressed genes (DEGs) in the four subtypes of EOC. Identified common DEGs were found to be enriched in cancer specific pathways. A protein-protein interaction (PPI) network of the common DEGs were constructed, and subsequent module and survival analyses identified seven key candidate genes (CCNB1, CENPM, CEP55, RACGAP1, TPX2, UBE2C, and ZWINT). We also documented 10 key candidate miRNAs (hsa-mir-16-5p, hsa-mir-23b-3p, hsa-mir-34a-5p, hsa-mir-103a-3p, hsa-mir-107, hsa-mir-124-3p, hsa-mir-129-2-3p, hsa-mir-147a, hsa-mir-205-5p, and hsa-mir-195-5p) linked to the candidate genes. These derived data find application in the understanding of EOC.

Comparative molecular dynamics simulation analysis of G20 and C92 mutations in c-di-GMP I riboswitch and the wild type with docked c-di-GMP ligand.

Riboswitch, a bacterial regulatory RNA consists of an aptamer (specific ligand binding unit) and an expression platform (gene expression modulation unit), which act as a potential drug target as it regulates critical genes. Therefore, it is of interest to glean information on the binding of c-di-GMP ligand to mutated conserved G20 and C92 residues of cyclic diguanosine monophosphate I (c-di-GMP I) riboswitch using molecular dynamics simulation. The result shows that the binding energy of wild/native type riboswitch-ligand complex (3IRW) is lower than the mutant complexes suggesting that the binding affinity for c-di-GMP ligand decreases in case of mutant riboswitches. The hydrogen bonding interactions analysis also showed a high number of hydrogen bonds formation in the wild type riboswitch-ligand complex as compared to the mutant complexes illustrating stronger interaction of ligand to wild type riboswitch than the mutants. The simulation result shows that the mutations affected riboswitch-ligand interactions. The residues G14, G21, C46, A47, and U92 were identified as the key residues which contributed effectively to the binding of c-di-GMP I riboswitch with the natural ligand.

RNA-Seq analysis reveals pluripotency-associated genes and their interaction networks in human embryonic stem cells.

Insight into the key genes of pluripotency in human and their interrelationships is necessary for understanding the underlying mechanism of pluripotency and hence their successful application in regenerative medicine. The recent advances in transcriptomics technologies have created new opportunities to decipher the genes involved in pluripotency, genetic network that governs the unique properties of embryonic stem cells and lineage differentiation mechanisms in a deeper scale. There are a large number of experimental studies on human embryonic stem cells (hESCs) being routinely conducted for unfolding the underlying biology of embryogenesis and their clinical prospects. However, the outcome of these studies often lacks consensus due to differences in samples, experimental techniques and/or analysis protocols. A universal stemness gene list is still lacking. Thus, we aim to identify the pluripotency-associated genes and their interaction network. In this quest, we compared transcriptomic profiles of pluripotent and non-pluripotent samples from diverse cell lines/types generated through RNA-sequencing (RNA-seq). We used a uniform pipeline for the analysis of raw RNA-seq data in order to reduce the amount of variation. Our analysis revealed a consensus set of 498 pluripotency-associated genes and 432 genes as potential pluripotent cell differentiation markers. Furthermore, we predicted 32 genes as "pluripotency critical genes". These pluripotency critical genes formed a tightly bound co-expression network with small-world architecture. Gene ontology (GO) and pathway enrichment analysis, StemChecker and literature survey confirmed the involvement of the genes in the induction and maintenance of pluripotency, though more experimental studies are required for understanding their molecular mechanisms in human.

Geographically distinct North-East Indian Helicobacter pylori strains are highly sensitive to clarithromycin but are levofloxacin resistant.

Purpose: Helicobacter pylori causes various gastro-intestinal diseases. Antibiotic resistance to commonly used antibiotics for the treatment of H. pylori infection is the major cause for treatment failure. The aim of this study is to determine the antimicrobial susceptibility pattern for clarithromycin and levofloxacin and find the evolutionary relationship of the partial sequence of 23S rRNA and gyraseA gene of H. pylori by phylogenetic analysis. Materials and Methods: A total of 46 H. pylori strains were tested for clarithromycin and levofloxacin susceptibility pattern and phylogenetic tree were reconstructed by PhyML software. Results: In this study, we observed that only 6.5% of North-East Indian H. pylori strains were resistant for clarithromycin showing mutation at A2143G and T2182C positions of 23S rRNA gene. Resistance for levofloxacin was observed in 89.1% of the H. pylori strains showing mutations at asparagine to lysine at 87 and aspartic acid to glycine/tyrosine/asparagine at 91 positions of gyraseA gene. The phylogenetic tree of the partial sequence of 23S rRNA and gyraseA gene depicts that the North-East Indian strains falls in different cluster when compared to other countries. Conclusions: Resistance for clarithromycin was less in North-East Indian strains but high for levofloxacin indicating that first-line therapy may be best and effective for eradication of H. pylori in this region. This study is the first report that showed antibiotic susceptibility pattern for clarithromycin and levofloxacin by mutation analysis. By partial sequencing of 23s rRNA and gyraseA gene, we found that North-East Indian strains are geographically distinct.

Causes, consequences and solutions of phylogenetic incongruence.

Phylogenetic analysis is used to recover the evolutionary history of species, genes or proteins. Understanding phylogenetic relationships between organisms is a prerequisite of almost any evolutionary study, as contemporary species all share a common history through their ancestry. Moreover, it is important because of its wide applications that include understanding genome organization, epidemiological investigations, predicting protein functions, and deciding the genes to be analyzed in comparative studies. Despite immense progress in recent years, phylogenetic reconstruction involves many challenges that create uncertainty with respect to the true evolutionary relationships of the species or genes analyzed. One of the most notable difficulties is the widespread occurrence of incongruence among methods and also among individual genes or different genomic regions. Presence of widespread incongruence inhibits successful revealing of evolutionary relationships and applications of phylogenetic analysis. In this article, I concisely review the effect of various factors that cause incongruence in molecular phylogenies, the advances in the field that resolved some factors, and explore unresolved factors that cause incongruence along with possible ways for tackling them.

Derivation of an interaction/regulation network describing pluripotency in human.

Identification of the key genes/proteins of pluripotency and their interrelationships is an important step in understanding the induction and maintenance of pluripotency. Experimental approaches have accumulated large amounts of interaction/regulation data in mouse. We investigate how far such information can be transferred to human, the species of maximum interest, for which experimental data are much more limited. To address this issue, we mapped an existing mouse pluripotency network (the PluriNetWork) to human. We transferred interaction and regulation links between genes/proteins from mouse to human on the basis of orthologous relationship of the genes/proteins (called interolog mapping). To reduce the number of false positives, we used four different methods: phylogenetic profiling, Gene Ontology semantic similarity, gene co-expression, and RNA interference (RNAi) data. The methods and the resulting networks were evaluated by a novel approach using the information about the genes known to be involved in pluripotency from the literature. The RNAi method proved best for filtering out unlikely interactions, so it was used to construct the final human pluripotency network. The RNAi data are based on human embryonic stem cells (hESCs) that are generally considered to be in a (primed) epiblast stem cell state. Therefore, we assume that the final human network may reflect the (primed) epiblast stem cell state more closely, while the mouse network reflects the (unprimed/naïve) embryonic stem cell state more closely.

The PluriNetWork: an electronic representation of the network underlying pluripotency in mouse, and its applications.

BACKGROUND: Analysis of the mechanisms underlying pluripotency and reprogramming would benefit substantially from easy access to an electronic network of genes, proteins and mechanisms. Moreover, interpreting gene expression data needs to move beyond just the identification of the up-/downregulation of key genes and of overrepresented processes and pathways, towards clarifying the essential effects of the experiment in molecular terms. METHODOLOGY/PRINCIPAL FINDINGS: We have assembled a network of 574 molecular interactions, stimulations and inhibitions, based on a collection of research data from 177 publications until June 2010, involving 274 mouse genes/proteins, all in a standard electronic format, enabling analyses by readily available software such as Cytoscape and its plugins. The network includes the core circuit of Oct4 (Pou5f1), Sox2 and Nanog, its periphery (such as Stat3, Klf4, Esrrb, and c-Myc), connections to upstream signaling pathways (such as Activin, WNT, FGF, BMP, Insulin, Notch and LIF), and epigenetic regulators as well as some other relevant genes/proteins, such as proteins involved in nuclear import/export. We describe the general properties of the network, as well as a Gene Ontology analysis of the genes included. We use several expression data sets to condense the network to a set of network links that are affected in the course of an experiment, yielding hypotheses about the underlying mechanisms. CONCLUSIONS/SIGNIFICANCE: We have initiated an electronic data repository that will be useful to understand pluripotency and to facilitate the interpretation of high-throughput data. To keep up with the growth of knowledge on the fundamental processes of pluripotency and reprogramming, we suggest to combine Wiki and social networking software towards a community curation system that is easy to use and flexible, and tailored to provide a benefit for the scientist, and to improve communication and exchange of research results. A PluriNetWork tutorial is available at http://www.ibima.med.uni-rostock.de/IBIMA/PluriNetWork/.