1,537 results match your criteria: "Centre for Bioinformatics[Affiliation]"

Background And Introduction: Tuberculosis (TB) is caused by Mycobacterium tuberculosis (M.tb) which is the most common cause of death from bacterial illness. Millions of victims of TB infections have been recorded including 20,800 deaths amongst HIV positive individuals.

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Enterococcus faecalis is a ubiquitous bacterium found in various environments, including processed beef meat, and is known for its importance in both food safety and public health. This pivotal significance stems not solely from its virulence but also from its adeptness in eliciting multidrug-resistant infections in humans. The aim of this study was to investigate the population structure, resistome, mobilome, and virulome of E.

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Climate-sensitive disease vectors, such as ticks, respond to the environment with changes in their microbiome. These changes can affect the emergence or re-emergence of various vector-borne pathogens, such as the causative agent of Lyme borreliosis (LB) or tick-borne encephalitis. This aspect is particularly emphasized in light of climate change.

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South Africa is among the world's top eight TB burden countries, and despite a focus on HIV-TB co-infection, most of the population living with TB are not HIV co-infected. The disease is endemic across the country with 80-90% exposure by adulthood. We investigated epidemiological risk factors for tuberculosis (TB) in the Northern Cape Province, South Africa: an understudied TB endemic region with extreme TB incidence (645/100,000) and the lowest provincial population density.

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Dipeptidyl-peptidase IV (DPP4) inhibitors are an important class of anti-diabetic drugs recognised for their systemic biological actions. Polyherbal preparations like formulations are considered to be ideal sources for discovering novel DPP4 inhibitors owing to their rich phytochemical composition. The current study reports the DPP4 inhibitory potential of a clinically established Ayurvedic anti-diabetic formulation (NK) using assay and substantiates it by identifying potential bioactives responsible for DPP4 inhibition using computational biology tools.

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Epithelial ovarian cancer (EOC) is one of the leading cancers in women, with high-grade serous ovarian cancer (HGSOC) being the most common and lethal subtype of this disease. A vast majority of HGSOC are diagnosed at the late stage of the disease when the treatment and total recovery chances are low. Thus, there is an urgent need for novel, more sensitive and specific methods for early and routine HGSOC clinical diagnosis.

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Background And Aims: Previous studies have shown suboptimal screening for hepatitis D virus (HDV) among patients with chronic hepatitis B (CHB). This study presents the cascade of care for HDV infection in a major secondary referral centre in Southern Stockholm, Sweden.

Methods: HBsAg+ve patients attending Karolinska University Hospital (KUH) from 1992 to 2022 were identified.

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SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus) has constantly been evolving into different forms throughout its spread in the population. Emerging SARS-CoV-2 variants, predominantly the variants of concern (VOCs), could have an impact on the virus spread, pathogenicity, and diagnosis. The recently emerged "Omicron" variant has exhibited rapid transmission and divergence.

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Rumen flukes are geographically widespread trematodes affecting wild and domestic ruminants. The juvenile forms, which are found in the small intestine, are more pathogenic compared to the adults. Severe diarrhoea and weight loss are the major clinical signs, and the disease might be fatal in severely infested individuals.

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During the coronavirus pandemic, evidence is growing that the severity, susceptibility and host immune response to SARS-CoV-2 infection can be highly variable. Several influencing factors have been discussed. Here, we investigated the humoral immune response against SARS-CoV-2 spike, S1, S2, the RBD, nucleocapsid moieties and S1 of seasonal coronaviruses: hCoV-229E, hCoV-HKU1, hCoV-NL63 and hCoV-OC43, as well as MERS-CoV and SARS-CoV, in a cohort of 512 individuals.

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The bacterial growth rate is important for pathogenicity and food safety. Therefore, the study of bacterial growth rate over time can provide important data from a medical and veterinary point of view. We trained convolutional neural networks (CNNs) on manually annotated solid medium cultures to detect bacterial colonies as accurately as possible.

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Topographical cues on materials can manipulate cellular fate, particularly for neural cells that respond well to such cues. Utilizing biomaterial surfaces with topographical features can effectively influence neuronal differentiation and promote neurite outgrowth. This is crucial for improving the regeneration of damaged neural tissue after injury.

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Background: Machine learning (ML) has gained significant attention for classifying immune states in adaptive immune receptor repertoires (AIRRs) to support the advancement of immunodiagnostics and therapeutics. Simulated data are crucial for the rigorous benchmarking of AIRR-ML methods. Existing approaches to generating synthetic benchmarking datasets result in the generation of naive repertoires missing the key feature of many shared receptor sequences (selected for common antigens) found in antigen-experienced repertoires.

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Dominantly inherited micro-satellite instable cancer - the four Lynch syndromes - an EHTG, PLSD position statement.

Hered Cancer Clin Pract

October 2023

Department of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, PO Box 4950, 0424, NydalenOslo, Norway.

Article Synopsis
  • Dominantly inherited micro-satellite instable (MSI) cancers, linked to mutations in mismatch repair (MMR) genes (MSH2, MLH1, MSH6, PMS2), challenge traditional views of cancer development and are associated with unique syndromes known as Lynch syndromes.
  • Each Lynch syndrome has distinct risks and expressions, and it’s crucial to consider factors like specific gene mutation and sex when studying these cancers.
  • Advances in colonoscopy surveillance, aspirin usage, and immunotherapy represent significant progress in personalized medicine for managing and preventing inherited MSI cancers.
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Transcriptome Analysis Reveals Spermatogenesis-Related CircRNAs and LncRNAs in Goat Spermatozoa.

Biochem Genet

June 2024

Gene Manipulation Laboratory, Department of Biotechnology and Medical Engineering, Centre for Bioinformatics and Computational Biology, National Institute of Technology Rourkela, Rourkela, Odisha, 769 008, India.

Mammalian spermatozoa comprises both coding and non-coding RNAs, which are traditionally believed to be a residual of spermatogenesis. The differential expression level of spermatozoal RNAs is also observed between fertile and infertile human, thereby anticipated as potential molecular marker of male fertility. This study investigated the transcriptome profile of goat (Capra hircus) spermatozoa.

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Fecal microRNAs represent promising molecules with potential clinical interest as non-invasive diagnostic and prognostic biomarkers. Colorectal cancer (CRC) screening based on the fecal immunochemical test (FIT) is an effective tool for prevention of cancer development. However, due to the poor sensitivity of FIT especially for premalignant lesions, there is a need for implementation of complementary tests.

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HoCoRT: host contamination removal tool.

BMC Bioinformatics

October 2023

Centre for Bioinformatics, Department of Informatics, University of Oslo, PO Box 1080 Blindern, 0316, Oslo, Norway.

Background: Shotgun metagenome sequencing data obtained from a host environment will usually be contaminated with sequences from the host organism. Host sequences should be removed before further analysis to avoid biases, reduce downstream computational load, or ensure privacy in the case of a human host. The tools that we identified, as designed specifically to perform host contamination sequence removal, were either outdated, not maintained, or complicated to use.

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Glomerular-tubular crosstalk via cold shock Y-box binding protein-1 in the kidney.

Kidney Int

January 2024

Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany. Electronic address:

Article Synopsis
  • The study investigates the role of Y-box binding protein 1 (YBX1) in kidney function, particularly in podocytes, and finds that its absence leads to increased albuminuria and varying levels of glomerular and tubular damage in mice.* -
  • YBX1 is shown to inhibit the activation of the NLRP3 inflammasome and reduce inflammatory responses in tubular cells by interacting with Toll-like receptor 4 (TLR4).* -
  • The research concludes that YBX1 is secreted from podocytes and plays a protective role against tubular inflammation, highlighting its importance in the crosstalk between glomerular and tubular compartments of the kidney.*
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Environmental and life-style risk factors for esophageal squamous cell carcinoma in Africa: a systematic review and meta-analysis.

BMC Public Health

September 2023

African Cancer Institute, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Background: The African Esophageal Squamous Cell Carcinoma (ESCC) corridor, which spans from Ethiopia down to South Africa, is an esophageal cancer hotspot. Disproportionately high incidence and mortality rates of esophageal cancer have been reported from this region. The aim of this study was to systematically assess the evidence on environmental and life-style risk factors associated with ESCC in African populations.

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When will RNA get its AlphaFold moment?

Nucleic Acids Res

October 2023

Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland.

The protein structure prediction problem has been solved for many types of proteins by AlphaFold. Recently, there has been considerable excitement to build off the success of AlphaFold and predict the 3D structures of RNAs. RNA prediction methods use a variety of techniques, from physics-based to machine learning approaches.

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Variants in EFCAB7 underlie nonsyndromic postaxial polydactyly.

Eur J Hum Genet

November 2023

Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Center, New York, NY, USA.

Article Synopsis
  • Polydactyly is a common limb malformation that affects 1.6-10.6 per 1,000 live births, with specific genetic causes identified in various syndromes related to it, and eleven candidate genes linked to the nonsyndromic type.
  • Research focused on four Pakistani families with autosomal recessive nonsyndromic postaxial polydactyly discovered two new genetic mutations in the EFCAB7 gene that correlate with the condition.
  • EFCAB7 is involved in regulating the Hedgehog signaling pathway critical for limb formation, and this study is the first to connect EFCAB7 to human diseases associated with polydactyly.
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Most high throughput genomic data analysis pipelines currently rely on over-representation or gene set enrichment analysis (ORA/GSEA) approaches for functional analysis. In contrast, topology-based pathway analysis methods, which offer a more biologically informed perspective by incorporating interaction and topology information, have remained underutilized and inaccessible due to various limiting factors. These methods heavily rely on the quality of pathway topologies and often utilize predefined topologies from databases without assessing their correctness.

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Conventional measurements of fasting and postprandial blood glucose levels investigated in genome-wide association studies (GWAS) cannot capture the effects of DNA variability on 'around the clock' glucoregulatory processes. Here we show that GWAS meta-analysis of glucose measurements under nonstandardized conditions (random glucose (RG)) in 476,326 individuals of diverse ancestries and without diabetes enables locus discovery and innovative pathophysiological observations. We discovered 120 RG loci represented by 150 distinct signals, including 13 with sex-dimorphic effects, two cross-ancestry and seven rare frequency signals.

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Computational methods coupled with experimental validation play a critical role in the identification of novel inhibitory peptides that interact with viral antigenic determinants. The interaction between the receptor binding domain (RBD) of SARS-CoV-2 spike protein and the helical peptide of human angiotensin-converting enzyme-2 (ACE2) is a necessity for the initiation of viral infection. Herein, natural orthologs of human ACE2 helical peptide were evaluated for competitive inhibitory binding to the viral RBD by use of a computational approach, which was experimentally validated.

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