Comparing full variation profile analysis with the conventional consensus method in SARS-CoV-2 phylogeny.

This study proposes a novel approach to studying severe acute respiratory syndrome coronavirus 2 virus mutations through sequencing data comparison. Traditional consensus-based methods, which focus on the most common nucleotide at each position, might overlook or obscure the presence of low-frequency variants. Our method, in contrast, retains all sequenced nucleotides at each position, forming a genomic matrix. Utilizing simulated short reads from genomes with specified mutations, we contrasted our genomic matrix approach with the consensus sequence method. Our matrix methodology, across multiple simulated datasets, accurately reflected the known mutations with an average accuracy improvement of 20% over the consensus method. In real-world tests using data from GISAID and NCBI-SRA, our approach demonstrated an increase in reliability by reducing the error margin by approximately 15%. The genomic matrix approach offers a more accurate representation of the viral genomic diversity, thereby providing superior insights into virus evolution and epidemiology.

Meat-Borne-Parasite: A Nanopore-Based Meta-Barcoding Work-Flow for Parasitic Microbiodiversity Assessment in the Wild Fauna of French Guiana.

French Guiana, located in the Guiana Shield, is a natural reservoir for many zoonotic pathogens that are of considerable medical or veterinary importance. Until now, there has been limited data available on the description of parasites circulating in this area, especially on protozoan belonging to the phylum Apicomplexa; conversely, the neighbouring countries describe a high parasitic prevalence in animals and humans. Epidemiological surveillance is necessary, as new potentially virulent strains may emerge from these forest ecosystems, such as Amazonian toxoplasmosis. However, there is no standard tool for detecting protozoa in wildlife. In this study, we developed Meat-Borne-Parasite, a high-throughput meta-barcoding workflow for detecting Apicomplexa based on the Oxford Nanopore Technologies sequencing platform using the 18S gene of 14 Apicomplexa positive samples collected in French Guiana. Sequencing reads were then analysed with MetONTIIME pipeline. Thanks to a scoring rule, we were able to classify 10 samples out of 14 as Apicomplexa positive and reveal the presence of co-carriages. The same samples were also sequenced with the Illumina platform for validation purposes. For samples identified as Apicomplexa positive by both platforms, a strong positive correlation at up to the genus level was reported. Overall, the presented workflow represents a reliable method for Apicomplexa detection, which may pave the way for more comprehensive biomonitoring of zoonotic pathogens.

Combined Drug with Antibacterial Effect Supports the Normal Intestinal Microflora.

Widespread use of antibiotics leads to an imbalance of normal intestinal microflora and to the development of multidrug resistance. The problem can be solved by administration of the antibiotics in combination with the drugs that have an immunotropic effect. We studied the effect of the drug containing technologically processed affinity purified antibodies to IFNγ, CD4 receptor, ß2-microglobulin of MHC class I, and ß2-domain of MHC II combined with antibiotics on the composition of intestinal microflora of pigs and the total number of microbiome resistance genes. Using the methods of NGS sequencing and quantitative PCR, we found that the drug contributes to the maintenance of normal microflora and, consequently, to the symbiotic relationship of the host with microflora, and prevents the reproduction of pathogenic bacterial species. Analysis for the presence of the resistance genes of gastrointestinal microorganisms showed that the drug does not affect the qualitative and quantitative composition of these genes of the intestinal microbiome.

Newly diagnosed isolated myeloid sarcoma-paired NGS panel analysis of extramedullary tumor and bone marrow.

Isolated myeloid sarcoma (MS) is a rare malignancy in which myeloid blast forms tumors at various locations while the bone marrow (BM) remains cytomorphologically free from disease. We analyzed isolated MS from four patients and their BMs at initial diagnosis and follow-up, using a custom next-generation sequencing (NGS) panel. We observed possible clonal evolution and a clonal hematopoiesis of indeterminate potential (CHIP)-like finding in the BM of one of three cases with detectable mutations. Clinical presentation of one patient suggested extramedullary confined homing of blasts to distal sites in the relapse situation still sparing the BM. In summary, our findings shall motivate future work regarding signals of extramedullary blast trafficking and clonal evolution in MS.

Validation of a next generation sequencing assay for BRCA1, BRCA2, CHEK2 and PALB2 genetic testing.

BRCA1, BRCA2, CHEK2 and PALB2 genes are associated with hereditary breast and ovarian cancer syndrome. Genetic testing of these genes is of increasing importance to guide therapeutic and management decisions. In this study, we evaluated the performance of a next generation sequencing (NGS) assay for the complete analysis of BRCA1, BRCA2, CHEK2 and PALB2 genes using Agilent's SureMASTR BRCA Screen that enabled the detection of single nucleotide variants (SNVs), small insertions/deletions (indels) and copy number variations (CNVs) in a single-tube PCR based library preparation. The results showed 100% sensitivity and specificity on a set of 52 known samples from de-identified patients and external quality assessment program. A concordance rate of 87.5% was achieved in the comparison of variant classification with the external laboratories. The high accuracy of the assay supports the use of SureMASTR BRCA Screen in clinical diagnostic laboratories (SureMASTR BRCA Screen is for research use only, not for use in diagnostic procedures).

Resectable lung lesions malignancy assessment and cancer detection by ultra-deep sequencing of targeted gene mutations in plasma cell-free DNA.

BACKGROUND: Early detection of lung cancer to allow curative treatment remains challenging. Cell-free circulating tumour (ct) DNA (ctDNA) analysis may aid in malignancy assessment and early cancer diagnosis of lung nodules found in screening imagery. METHODS: The multicentre clinical study enrolled 192 patients with operable occupying lung diseases. Plasma ctDNA, white cell count genomic DNA (gDNA) and tumour tissue gDNA of each patient were analysed by ultra-deep sequencing to an average of 35 000× of the coding regions of 65 lung cancer-related genes. RESULTS: The cohort consists of a quarter of benign lung diseases and three quarters of cancer patients with all histopathology subtypes. 64% of the cancer patients are at stage I. Gene mutations detection in tissue gDNA and plasma ctDNA results in a sensitivity of 91% and specificity of 88%. When ctDNA assay was used as the test, the sensitivity was 69% and specificity 96%. As for the lung cancer patients, the assay detected 63%, 83%, 94% and 100%, for stages I, II, III and IV, respectively. In a linear discriminant analysis, combination of ctDNA, patient age and a panel of serum biomarkers boosted the overall sensitivity to 80% at a specificity of 99%. 29 out of the 65 genes harboured mutations in the patients with lung cancer with the largest number found in TP53 (30% plasma and 62% tumour tissue samples) and EGFR (20% and 40%, respectively). CONCLUSION: Plasma ctDNA was analysed in lung nodule assessment and early cancer detection, while an algorithm combining clinical information enhanced the test performance. TRIAL REGISTRATION NUMBER: NCT03081741.

Efficiency of PacBio long read correction by 2nd generation Illumina sequencing.

Long sequencing reads offer unprecedented opportunities in analysis and reconstruction of complex genomic regions. However, the gain in sequence length is often traded for quality. Therefore, recently several approaches have been proposed (e.g. higher sequencing coverage, hybrid assembly or sequence correction) to enhance the quality of long sequencing reads. A simple and cost-effective approach includes use of the high quality 2nd generation sequencing data to improve the quality of long reads. We designed a dedicated testing procedure and selected universal programs for long read correction, which provide as the output sequences that can be used in further genomic and transcriptomic studies. Our results show that HALC is the best choice for correction of long PacBio reads, when both, read size and quality, are the main focus of the analysis. However, the tested tools show some unexpected behaviors, including read trimming and fragmentation.

[Detecting Large Germline Rearrangements of BRCA1 by Next Generation Tumor Sequencing].

A majority of BRCA1/2 (BRCA) pathogenic variants (PVs) are single nucleotide substitutions or small insertions/deletions. Copy number variations (CNVs), also known as large genomic rearrangements (LGRs), have been identified in BRCA genes. LGRs detection is a mandatory analysis in hereditary breast and ovarian cancer families, if no predisposing PVs are found by sequencing. Next generation sequencing (NGS) may be used to detect structural variation, since quantitative analysis of sequencing reads, when coupled with appropriate bioinformatics tools, is capable of estimating and predicting germline LGRs (gLGRs). However, applying this approach to tumor tissue is challenging, and the pipelines for determination of CNV are yet to be optimized. The aim of this study was to validate the Next Generation Tumor Sequencing (NGTS) technology to detect various gLGRs of BRCA1 locus in surgical tumor tissue samples. In this study, seven different BRCA1 gLGRs, previously found in high-grade serous ovarian cancers (HGSOC) patients, were detected in tumor samples collected from the patients at a time of HGSOC surgery. This study demonstrated that NGS can accurately detect BRCA1 gLGRs in primary tumors, suggesting that gLGR evaluation in BRCA1 locus should be performed in cases when the screening for BRCA alterations starts from tumor instead of blood. NGS sequencing of tumor samples may become the preferred method to detect both somatic and germline gLGRs in BRCA-encoding loci.

Retrospective eDNA assessment of potentially harmful algae in historical ship ballast tank and marine port sediments.

Microalgal bloom events can cause major ecosystem disturbances, devastate local marine economies, and endanger public health. Therefore, detecting and monitoring harmful microalgal taxa is essential to ensure effective risk management in waterways used for fisheries, aquaculture, recreational activity, and shipping. To fully understand the current status and future direction of algal bloom distributions, we need to know how populations and ecosystems have changed over time. This baseline knowledge is critical for predicting ecosystem responses to future anthropogenic change and will assist in the future management of coastal ecosystems. We explore a NGS metabarcoding approach to rapidly identify potentially harmful microalgal taxa in 63 historic and modern Australian marine port and ballast tank sediment samples. The results provide a record of past microalgal distribution and important baseline data that can be used to assess the efficacy of shipping guidelines, nutrient pollution mitigation, and predict the impact of climate change. Critically, eDNA surveys of archived sediments were able to detect harmful algal taxa that do not produce microscopic fossils, such as Chattonella, Heterosigma, Karlodinium, and Noctiluca. Our data suggest a potential increase in Australian harmful microalgal taxa over the past 30 years, and confirm ship ballast tanks as key dispersal vectors. These molecular mapping tools will assist in the creation of policies aimed at reducing the global increase and spread of harmful algal taxa and help prevent economic and public-health problems caused by harmful algal blooms.

The antibiotics potentiator bicarbonate causes upregulation of tryptophanase and iron acquisition proteins in Escherichia coli.

We have reported that bicarbonate (NaHCO3 ) potentiates the activity of aminoglycosides in Escherichia coli, but the action mechanism was not identified. To eventually understand how NaHCO3 can potentiate antibiotics, we thought that a rational first step was to examine the effect of NaHCO3 separately and to inspect initial gene expression changes triggered by it. In this work, we started by confirming that NaHCO3 can reduce the number of viable E. coli bacteria. We then investigated, via RNAseq, gene expression changes induced by NaHCO3 . There were upregulated and downregulated genes, among the top upregulated genes c. 10-fold increase in expression) was tnaA, the gene encoding tryptophanase, the enzyme that degrades tryptophan to indole. Considering that higher expression of tnaA likely led to increases in indole, we tested the effect of indole and found both growth inhibition and synergy with NaHCO3 . We suggest that indole may participate in growth inhibition of E. coli. The RNAseq analysis also revealed upregulation (≥4-fold) of genes encoding proteins for the acquisition of iron and downregulation (≥16-fold) of genes encoding iron-sulphur-holding proteins; hence NaHCO3 apparently triggered also an iron-deficit response. We suggest that iron deficiency may also be involved in growth inhibition by NaHCO3 . SIGNIFICANCE AND IMPACT OF THE STUDY: Bicarbonate (NaHCO3 ) can enhance the activity of various antibiotics. This work investigated its action mechanism. We carried out a transcriptional analysis in Escherichia coli with the aim of defining initial bacterial changes potentially linked to the enhancing activity of NaHCO3 . Our approach differed from the longer term exposure to NaHCO3 recently used by other researchers, who noticed changes in the bacterial proton motive force. Based on our analysis, we propose two routes possibly linked to the effect of NaHCO3 . Conceivably, those routes are potential targets that could be manipulated by alternative means to augment the effect of antibiotics.

Homozygous PKP2 deletion associated with neonatal left ventricle noncompaction.

Left ventricular noncompaction cardiomyopathy (LVNC) is a clinically heterogeneous disorder characterized by a trabecular meshwork and deep intertrabecular myocardial recesses that communicate with the left ventricular cavity. Several genetic causes of LVNC have been reported, with variable modes of inheritance, including autosomal dominant and X-linked inheritance, but relatively few responsible genes have been identified. A NGS workflow, based on a panel of 95 genes developed for sequencing most prevalent sudden cardiac death-causing genes, was used to make a rapid and costless molecular diagnosis in two siblings with a severe noncompaction cardiomyopathy starting prenatally and leading to rapid cardiac failure. For the first time, a total homozygous PKP2 deletion was identified. This molecular defect was further confirmed by MLPA and array-comparative genomic hybridization (CGH). Heterozygous PKP2 mutations are usually reported in a significant proportion of Arrhythmogenic Right Ventricular Cardiomyopathy cases. Our results show, for the first time, the involvement of PKP2 in severe cardiomyopathy with ventricular non compaction.

[Microbiocenosis of subgingival biofilm and intestinal content in chronic periodontal disease in patients with metabolic syndrome]. / Kharakteristika mikrobiotsenozov poddesnevoi bioplenki i soderzhimogo kishechnika pri khronicheskom generalizovannom parodontite u patsientov s metabolicheskim sindromom.

The aim of the study was to assess correlations of subgingival biofilm and intestinal microbiota in patients with chronic periodontal disease (CPD) and metabolic syndrome (MS). The study included 80 patients divided in 2 groups: 40 healthy individuals with no signs of periodontal disease and 40 patients with CPD and MS. Oral and intestinal microbial consortia compositions were revealed using deep sequencing libraries of 16S rDNA. The study showed than the qualitative composition of the intestinal microbiome in patients with CPD differ significantly from the microbiome of controls. Real-time PCR of subgingival microflora in CPD patients revealed high content of P. gingivalis, T. forsythia and T. denticola, while in intestinal microbiome dominated representatives of Enterobacteriaceae and Eubacteriaceae families with signs of intestinal dysbiosis mostly associated with the decrease of protective species.

Ribosomal profiling adds new coding sequences to the proteome.

Next generation sequencing (NGS) has enabled an in-depth look into genes, transcripts and their translation at the genomic scale. The application of NGS sequencing of ribosome footprints (Ribo-Seq) reveals translation with single nucleotide (nt) resolution, through the deep sequencing of ribosome-bound fragments (RBFs). Some results of Ribo-Seq challenge our understanding of the protein-coding potential of the genome. Earlier bioinformatic approaches had shown the presence of hundreds of thousands of putative small ORFs (smORFs) in eukaryotic genomes, but they had been largely ignored due to their large numbers and difficulty in determining their translation and function. Ribo-Seq has revealed that hundreds of putative smORFs within previously assumed long non-coding RNAs (lncRNAs) and UTRs of canonical mRNAs are associated with ribosomes, appearing to be translated. Here we review some of the approaches used to define translation within Ribo-Seq experiments and the challenges in defining translation of these novel smORFs in lncRNAs and UTRs. We also look at some of the bioinformatic and biochemical approaches used to independently corroborate these exciting new findings and elucidate real translation events.

RHO Variants and Autosomal Dominant Retinitis Pigmentosa: Insights from the Italian Genetic Landscape.

Autosomal dominant retinitis pigmentosa (AD-RP) is caused by several genes, among which RHO is one of the most investigated. This article will be focused on RHO and its role in explaining AD-RP cases in the Italian population, taking advantage of the experience of the Genomic Medicine Laboratory UILDM at the Santa Lucia Foundation IRCCS. The retrospective evaluation of the distribution of RHO variants in the Italian patients with a clinical suspicion of RP pointed out eight variants. Of them, four variants (c.632A>T, c.1040C>T, c.1030C>T, c.383_392del) were pathogenic and made it possible to confirm the diagnosis of AD-RP in nine affected patients, highlighting a lower frequency (17%) of RHO variants compared to previous studies (30-40%). In addition, this study identified four variants classified as Variants of Uncertain Significance (VUS). In conclusion, the experience of the Genomic Medicine Laboratory provides an overview of the distribution of RHO variants in the Italian population, highlighting a slightly lower frequency of these variants in our cases series compared to previous reports. However, further studies on RHO variants are essential to characterize peculiar RP phenotypes and extend the spectrum of disease associated with this gene.

Idiopathic erythrocytosis: a germline disease?

Polycythemia Vera (PV) is typically caused by V617F or exon 12 JAK2 mutations. Little is known about Polycythemia cases where no JAK2 variants can be detected, and no other causes identified. This condition is defined as idiopathic erythrocytosis (IE). We evaluated clinical-laboratory parameters of a cohort of 56 IE patients and we determined their molecular profile at diagnosis with paired blood/buccal-DNA exome-sequencing coupled with a high-depth targeted OncoPanel to identify a possible underling germline or somatic cause. We demonstrated that most of our cohort (40/56: 71.4%) showed no evidence of clonal hematopoiesis, suggesting that IE is, in large part, a germline disorder. We identified 20 low mutation burden somatic variants (Variant allelic fraction, VAF, < 10%) in only 14 (25%) patients, principally involving DNMT3A and TET2. Only 2 patients presented high mutation burden somatic variants, involving DNMT3A, TET2, ASXL1 and WT1. We identified recurrent germline variants in 42 (75%) patients occurring mainly in JAK/STAT, Hypoxia and Iron metabolism pathways, among them: JAK3-V722I and HIF1A-P582S; a high fraction of patients (48.2%) resulted also mutated in homeostatic iron regulatory gene HFE-H63D or C282Y. By generating cellular models, we showed that JAK3-V722I causes activation of the JAK-STAT5 axis and upregulation of EPAS1/HIF2A, while HIF1A-P582S causes suppression of hepcidin mRNA synthesis, suggesting a major role for these variants in the onset of IE.

SARS-CoV-2 Molecular Evolution: A Focus on Omicron Variants in Umbria, Italy.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused more than 6 million deaths worldwide, and the spread of new variants over time increased the ability of this virus to cause infection. The Omicron variant was detected for the first time in Umbria, a region of central Italy, in November 2021 and it induced an unprecedented increase in the number of infection cases. Here, we analysed 3300 SARS-CoV-2 positive samples collected in Umbria between April 2022 and December 2023. We traced the molecular evolution of SARS-CoV-2 variants over time through the Next-Generation Sequencing (NGS) approach. We assessed correlation between SARS-CoV-2 infection and patients' health status. In total, 17.3% of our samples came from patients hospitalised as a consequence of COVID-19 infection even though 81.4% of them received at least three vaccine doses. We identified only Omicron variants, and the BA.5 lineage was detected in the majority of our samples (49.2%). Omicron variants outcompeted each other through the acquisition of mutations especially in Spike glycoprotein that are fingerprints of each variant. Viral antigenic evolution confers higher immunological escape and makes a continuous improvement of vaccine formulation necessary. The continuous update of international genomic databases with sequencing results obtained by emergent pathogens is essential to manage a possible future pandemic.

Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study.

In forensic sciences, body fluids, or biological traces, are a major source of information, and their identification can play a decisive role in criminal investigations. Currently, the nature of biological fluids is assessed using immunological, physico-chemical, mRNA and epigenetic methods, but these have limits in terms of sensitivity and specificity. The emergence of next-generation sequencing technologies offers new opportunities to identify the nature of body fluids by determining bacterial communities. The aim of this pilot study was to assess whether analysis of the bacterial communities in isolated and mixed biological fluids could reflect the situation observed in real forensics labs. Several samples commonly encountered in forensic sciences were tested from healthy volunteers: saliva, vaginal fluid, blood, semen and skin swabs. These samples were analyzed alone or in combination in a ratio of 1:1. Sequencing was performed on the Ion Gene StudioTM S5 automated sequencer. Fluids tested alone revealed a typical bacterial signature with specific bacterial orders, enabling formal identification of the fluid of interest, despite inter-individual variations. However, in biological fluid mixtures, the predominance of some bacterial microbiomes inhibited interpretation. Oral and vaginal microbiomes were clearly preponderant, and the relative abundance of their bacterial communities and/or the presence of common species between samples made it impossible to detect bacterial orders or genera from other fluids, although they were distinguishable from one another. However, using the beta diversity, salivary fluids were identified and could be distinguished from fluids in combination. While this method of fluid identification is promising, further analyses are required to consolidate the protocol and ensure reliability.

Accelerating targeted mosquito control efforts through mobile West Nile virus detection.

BACKGROUND: Different mosquito control strategies have been implemented to mitigate or prevent mosquito-related public health situations. Modern mosquito control largely relies on multiple approaches, including targeted, specific treatments. Given this, it is becoming increasingly important to supplement these activities with rapid and mobile diagnostic capacities for mosquito-borne diseases. We aimed to create and test the applicability of a rapid diagnostic system for West Nile virus that can be used under field conditions. METHODS: In this pilot study, various types of adult mosquito traps were applied within the regular mosquito monitoring activity framework for mosquito control. Then, the captured specimens were used for the detection of West Nile virus RNA under field conditions with a portable qRT-PCR approach within 3-4 h. Then, positive samples were subjected to confirmatory RT-PCR or NGS sequencing in the laboratory to obtain genome information of the virus. We implemented phylogenetic analysis to characterize circulating strains. RESULTS: A total of 356 mosquito individuals representing 7 species were processed in 54 pools, each containing up to 20 individuals. These pools were tested for the presence of West Nile virus, and two pools tested positive, containing specimens from the Culex pipiens and Anopheles atroparvus mosquito species. As a result of subsequent sequencing, we present the complete genome of West Nile virus and Bagaza virus. CONCLUSIONS: The rapid identification of infected mosquitoes is the most important component of quick response adulticide or larvicide treatments to prevent human cases. The conceptual framework of real-time surveillance can be optimized for other pathogens and situations not only in relation to West Nile virus. We present an early warning system for mosquito-borne diseases and demonstrate its application to aid rapid-response mosquito control actions.

Quadruple primary tumors in a lynch syndrome patient surviving more than 26 years with genetic analysis: a case report and literature review.

The incidence of multiple primary tumors(MPTs) is on the rise in recent years, but patients having four or more primary tumors is still rare. Lynch syndrome (LS) patients have a high risk of developing MPTs. NGS sequencing could identify the genetic alterations in different tumors to make a definite diagnosis of uncommon cases in clinical practice. Here, we report the case of a 66-year-old female patient who develops four MPTS between the ages of 41 and 66, that is sigmoid colon cancer, acute non-lymphocytic leukemia, urothelial carcinoma and ascending colon cancer. She has survived for more than 26 years since the first discovery of tumor. Targeted sequencing indicates that she has a pathogenic germline mutation in the exon 13 of MSH2, and her 2020 ureteral cancer sample and 2023 colon cancer sample have completely different mutation profiles. To the best of our knowledge, this is the first case of multiple primary tumors with an acute non-lymphocytic leukemia in LS patients.

Summary of ChIP-Seq Methods and Description of an Optimized ChIP-Seq Protocol.

Chromatin immunoprecipitation (ChIP) is an invaluable method to characterize interactions between proteins and genomic DNA, such as the genomic localization of transcription factors and post-translational modification of histones. DNA and proteins are reversibly and covalently crosslinked using formaldehyde. Then the cells are lysed to release the chromatin. The chromatin is fragmented into smaller sizes either by micrococcal nuclease (MN) or sonication and then purified from other cellular components. The protein-DNA complexes are enriched by immunoprecipitation (IP) with antibodies that target the epitope of interest. The DNA is released from the proteins by heat and protease treatment, followed by degradation of contaminating RNAs with RNase. The resulting DNA is analyzed using various methods, including polymerase chain reaction (PCR), quantitative PCR (qPCR), or sequencing. This protocol outlines each of these steps for both yeast and human cells. This chapter includes a contextual discussion of the combination of ChIP with DNA analysis methods such as ChIP-on-Chip, ChIP-qPCR, and ChIP-Seq, recent updates on ChIP-Seq data analysis pipelines, complementary methods for identification of binding sites of DNA binding proteins, and additional protocol information about ChIP-qPCR and ChIP-Seq.