Sequence Databases Research Articles

Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera

BackgroundThe bacterium Vibrio cholerae causes diarrheal illness and can acquire genetic material leading to multiple drug resistance (MDR). Rapid detection of resistance-conferring mobile genetic elements helps avoid the prescription of ineffective antibiotics for specific strains. Colorimetric loop-mediated isothermal amplification (LAMP) assays provide a rapid and cost-effective means for detection at point-of-care since they do not require specialized equipment, require limited expertise to perform, and can take less than 30 min to perform in resource limited regions. LAMP output is a color change that can be viewed by eye, but it can be difficult to design primer sets, determine target specificity, and interpret subjective color changes.MethodsWe developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. First, Primer3 calculates LAMP primer sequence candidates with settings based on GC-content optimization. Next, PSET aligns the primer sequences of each assay against large sequence databases to calculate sufficient sequence similarity, coverage, and primer arrangement to the intended taxa, ultimately generating a confusion matrix. Finally, we tested assay candidates in the laboratory against synthetic constructs.ResultsAs an example, we generated new LAMP assays targeting drug resistance in V. cholerae and evaluated existing ones from the literature based on in silico target specificity and in vitro testing. Improvements in the design and testing of LAMP assays, with heightened target specificity and a simple analysis platform, increase utility for in-field applications. Overall, 9 of the 16 tested LAMP assays had positive signal through visual and computer vision-based detection methods developed here. Here we show LAMP assays tested on synthetic AMR gene targets for aph(6), varG, floR, qnrVC5, and almG, which allow for resistance to aminoglycosides, penicillins, carbapenems, phenicols, fluoroquinolones, and polymyxins respectively.

Unexpected Genetic Diversity of Nostocales (Cyanobacteria) Isolated from the Phyllosphere of the Laurel Forests in the Canary Islands (Spain)

A total of 96 strains of Nostocales (Cyanobacteria) were established from the phyllosphere of the laurel forests in the Canary Islands (Spain) and the Azores (Portugal) using enrichment media lacking combined nitrogen. The strains were characterized by light microscopy and SSU rRNA gene comparisons. Morphologically, most strains belonged to two different morphotypes, termed “Nostoc-type” and “Tolypothrix-type”. Molecular phylogenetic analysis of 527 SSU rRNA gene sequences of cyanobacteria (95 sequences established during this study plus 392 sequences from Nostocales and 40 sequences from non-heterocyte-forming cyanobacteria retrieved from the databases) revealed that none of the SSU rRNA gene sequences from the phyllosphere of the laurel forests was identical to a database sequence. In addition, the genetic diversity of the isolated strains was high, with 42 different genotypes (44% of the sequences) recognized. Among the new genotypes were also terrestrial members of the genus Nodularia as well as members of the genus Brasilonema. It is concluded that heterocyte-forming cyanobacteria represent a component of the phyllosphere that is still largely undersampled in subtropical/tropical forests.

Domainator, a flexible software suite for domain-based annotation and neighborhood analysis, identifies proteins involved in antiviral systems.

The availability of large databases of biological sequences presents an opportunity for in-depth exploration of gene diversity and function. Bacterial defense systems are a rich source of diverse but difficult to annotate genes with biotechnological applications. In this work, we present Domainator, a flexible and modular software suite for domain-based gene neighborhood and protein search, extraction and clustering. We demonstrate the utility of Domainator through three examples related to bacterial defense systems. First, we cluster CRISPR-associated Rossman fold (CARF) containing proteins with difficult to annotate effector domains, classifying most of them as likely transcriptional regulators and a subset as likely RNases. Second, we extract and cluster P4-like phage satellite defense hotspots, identify an abundant variant of Lamassu defense systems and demonstrate its in vivo activity against several T-even phages. Third, we integrate a protein language model into Domainator and use it to identify restriction endonucleases with low similarity to known reference sequences, validating the activity of one example in vitro. Domainator is made available as an open-source package with detailed documentation and usage examples.

Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies.

Cross-linking mass spectrometry (XL-MS) allows characterizing protein-protein interactions (PPIs) in native biological systems by capturing cross-links between different proteins (inter-links). However, inter-link identification remains challenging, requiring dedicated data filtering schemes and thorough error control. Here, we benchmark existing data filtering schemes combined with error rate estimation strategies utilizing concatenated target-decoy protein sequence databases. These workflows show shortcomings either in sensitivity (many false negatives) or specificity (many false positives). To ameliorate the limited sensitivity without compromising specificity, we develop an alternative target-decoy search strategy using fused target-decoy databases. Furthermore, we devise a different data filtering scheme that takes the inter-link context of the XL-MS dataset into account. Combining both approaches maintains low error rates and minimizes false negatives, as we show by mathematical simulations, analysis of experimental ground-truth data, and application to various biological datasets. In human cells, inter-link identifications increase by 75% and we confirm their structural accuracy through proteome-wide comparisons to AlphaFold2-derived models. Taken together, target-decoy fusion and context-sensitive data filtering deepen and fine-tune XL-MS-based interactomics.

ProHap enables human proteomic database generation accounting for population diversity.

Amid the advances in genomics, the availability of large reference panels of human haplotypes is key to account for human diversity within and across populations. However, mass spectrometry-based proteomics does not benefit from this information. To address this gap, we introduce ProHap, a Python-based tool that constructs protein sequence databases from phased genotypes of reference panels. ProHap enables researchers to account for haplotype diversity in proteomic searches.

TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics.

Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the past decade, top-down proteomics has been dominated by top-down data-dependent acquisition mass spectrometry (TD-DDA-MS), and top-down data-independent acquisition mass spectrometry (TD-DIA-MS) has not been well studied. While TD-DIA-MS produces complex multiplexed tandem mass spectrometry (MS/MS) spectra, which are challenging to confidently identify, it selects more precursor ions for MS/MS analysis and has the potential to increase proteoform identifications compared with TD-DDA-MS. Here we present TopDIA, the first software tool for proteoform identification by TD-DIA-MS. It generates demultiplexed pseudo MS/MS spectra from TD-DIA-MS data and then searches the pseudo MS/MS spectra against a protein sequence database for proteoform identification. We compared the performance of TD-DDA-MS and TD-DIA-MS using Escherichia coli K-12 MG1655 cells and demonstrated that TD-DIA-MS with TopDIA increased proteoform and protein identifications compared with TD-DDA-MS.

Effects of energetic compounds on soil microbial communities and functional genes at a typical ammunition demolition site.

High concentrations of energetic compounds such as 2,4,6-trinitrotoluene (TNT), hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), and octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX) in military-contaminated sites pose a serious threat to human health and ecosystems. Better understanding about their effects on microbial diversity and functional genes in soil of ammunition demolition sites is required. In this study, the information of soil microbial community composition was obtained by macrogenome sequencing, and the impacts of energetic compounds on microbial community structure at the level of functional genes and enzymes based on Nr (Non-Redundant Protein Sequence Database), KEGG (Kyoto Encyclopedia of Genes and Genomes), CAZy (Carbohydrate-Active En-zymes Database) and other databases were discussed. The results showed that soil microbial diversity and functional gene abundance decreased significantly with the increase of the concentrations of energetic compounds. Conversely, the relative abundance of Proteobacteria increased significantly, reaching over 80% in the heavily TNT-contaminated area near explosive-waste water pool. Furthermore, functional gene analysis indicated that Proteobacteria had an advantage in degrading energetic compounds, and thus had the potential to improve the soil quality at ammunition demolition sites. This study provides a scientific basis for the future remediation and management of contaminated soils at ammunition demolition sites, as well as for the selection of efficient degraders of energetic compounds.

50 Years of Antibody Numbering Schemes: A Statistical and Structural Evaluation Reveals Key Differences and Limitations

Background: The complementarity-determining region (CDR) of antibodies represents the most diverse region both in terms of sequence and structural characteristics, playing the most critical role in antibody recognition and binding for immune responses. Over the past decades, several numbering schemes have been introduced to define CDRs based on sequence. However, the existence of diverse numbering schemes has led to potential confusion, and a comprehensive evaluation of these schemes is lacking. Methods: We employ statistical analyses to quantify the diversity of CDRs compared to the framework regions. Results: Comparative analyses across different numbering schemes demonstrate notable variations in CDR definitions. The Kabat and AbM numbering schemes tend to incorporate more conserved residues into their CDR definitions, whereas CDRs defined by the Chothia and IMGT numbering schemes display greater diversity, sometimes missing certain loop residues. Notably, we identify a critical residue, L29, within the kappa light chain CDR1, which appears to act as a pivotal structural point within the loop. In contrast, most numbering schemes designate the topological equivalent point in the lambda light chain as L30, suggesting the need for further refinement in the current numbering schemes. Conclusions: These findings shed light on regional sequence and structural conservation within antibody sequence databases while also highlighting discrepancies stemming from different numbering schemes. These insights yield valuable guidelines for the precise delineation of antibody CDRs and the strategic design of antibody repertoires, with practical implications in developing innovative antibody-based therapeutics and diagnostics.

New mutation in the β-spectrin gene in hereditary spherocytosis: A case report

In patients with recurrent anemia, jaundice, and splenomegaly, a thorough assessment of family history and peripheral blood smears is crucial for diagnosing hereditary spherocytosis (HS). Furthermore, gene sequencing can enhance diagnostic accuracy and facilitate the investigation of disease mechanisms at the molecular level. In this report, we present a case of HS caused by a heterozygous nonsense mutation in the SPTB gene, along with a family history of this specific mutation. A 35-year-old man was evaluated for jaundice and splenomegaly, which he had experienced since childhood. Blood tests revealed anemia, reticulocytosis, elevated indirect bilirubin levels, and an increased percentage of spherical red blood cells in the peripheral blood. His family history indicated that both his father and daughter exhibited similar clinical manifestations. Subsequently, genetic sequencing confirmed that the patient, along with his father and daughter, shared the heterozygous missense mutation c.155G > A (p.Arg52Gln) in the SPTB gene, which is absent in public population and animal sequence databases. Structural prediction analysis of the protein suggests that this mutation may lead to instability of SPTB mRNA, thereby affecting the synthesis of the spectrin protein and the integrity of the red blood cell membrane skeleton. Further research is needed to clarify the exact relationship between this mutation and the occurrence of HS.

FAP+ gastric cancer mesenchymal stromal cells via paracrining INHBA and remodeling ECM promote tumor progression

Gastric cancer (GC) mesenchymal stromal cells (GCMSCs) are the predominant components of the tumor microenvironment (TME) and play a role in the occurrence, development, and metastasis of tumors. However, GCMSCs exhibit phenotypic and functional heterogeneity. The key population of GCMSCs which are vital to tumor progression remains elusive. The expression of fibroblast activation protein (FAP) in gastric cancer was analyzed and verified using clinical pathology data and single-cell RNA sequencing database of gastric cancer patients. FAP positive GCMSCs (FAP+ GCMSCs) were isolated via flow cytometry and characterized through transcriptomic sequencing. The impact of conditioned medium from FAP+ GCMSCs on gastric cancer cell lines was assessed using Enzyme-linked immunosorbent assay (ELISA) and Western blot analyses. Additionally, immunohistochemistry (IHC) and Masson’s trichrome staining were employed to explore the association between FAP+ GCMSCs and extracellular matrix (ECM) deposition in gastric cancer tissues. Our study demonstrates that FAP is predominantly expressed in the mesenchymal stromal cells within the gastric cancer milieu. FAP+ GCMSCs exhibited enhanced proliferation, migration, contraction, and tumor-promoting capabilities compared to their FAP− counterparts. These cells significantly increased proliferation and migration of gastric cancer cells through the paracrine secretion of Inhibin Subunit Beta A (INHBA) and activation of the SMAD2/3 signaling pathway. Moreover, FAP+ GCMSCs also induced collagen deposition in ECM and then up-regulated invasion and stemness of GC cells. Mechanistically, this process was mediated by the interaction of collagen with Integrin Subunit Beta 1 (ITGB1), triggering the phosphorylation of Focal Adhesion Kinase (FAK) and Yes Associated Transcriptional Regulator (YAP). Our findings reveal that FAP+ GCSMCs enhanced the GC progression via releasing cytokine INHBA and remodeling ECM providing a theoretical basis for further exploration of tumor stromal-targeting therapy of gastric cancer.

Nuclear eDNA metabarcoding primers for anthozoan coral biodiversity assessment.

The distributions of anthozoan corals are undercharacterized due to their wide bathymetric ranges, occurrences in remote locales, and difficulties of identification from morphology alone. Environmental DNA (eDNA) sequencing promises to be a noninvasive strategy to complement conventional approaches for mapping and monitoring the distribution and biodiversity of coral communities. Primers for eDNA metabarcoding have been designed to amplify nuclear and mitochondrial DNA barcodes in shallow scleractinians and mitochondrial MutS in deep-sea octocorals. However, a comprehensive method for eDNA metabarcoding of all anthozoan corals, including black corals, has not been developed. We leveraged a sequence database of global coral collections, from shallow water to the deep sea, to design new PCR primers for coral eDNA sequencing that target the 28S rRNA gene (28S rDNA). We tested the performance of these primers by amplifying and sequencing eDNA from water samples collected in the Gulf of Mexico near mesophotic and deep-sea corals that were also imaged, sampled, and sequenced. Sequencing libraries produced using the primers were highly enriched in eDNA from octocorals, black corals and scleractinians, with up to 99.9% of the reads originating from these corals. Further, the 28S barcode amplified using the primers distinguished coral genera and species in many cases, like previously developed methods that target eDNA in only octocorals or scleractinians. We recovered amplicon sequencing variants (ASVs) identical to DNA barcodes derived from Sanger sequencing and genome skimming of corals sampled at the same field sites. This new eDNA metabarcoding strategy permits targeted eDNA sequencing of black corals, octocorals, and scleractinians at sites where they co-occur and expands our current toolkit for mapping and monitoring coral communities in shallow coral reefs and the deep sea.

Automatic Cardiac Pathology Recognition in Echocardiography Images using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets

Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering the increase of medical data, much pressure is put on the health industry to develop systems for early and accurate heart disease recognition. In this work, an automatic cardiac pathology recognition system based on a novel deep learning framework is proposed, which analyses in real-time echocardiography video sequences. The system works in two stages. The first one transforms the data included in a database of echocardiography sequences into a machine learning-compatible collection of annotated images which can be used in the training phase of any kind of machine learning-based framework, including deep learning. This includes the use of the Higher Order Dynamic Mode Decomposition (HODMD) algorithm, for the first time to the authors’ knowledge, for both data augmentation and feature extraction in the medical field. The second stage is focused on building and training a Vision Transformer (ViT), barely explored in the related literature. The ViT is adapted for an effective training from scratch, even with small datasets. The designed neural network analyses images from an echocardiography sequence to predict the heart state. The results obtained show the efficacy of the HODMD algorithm and the superiority of the proposed system, even outperforming pretrained Convolutional Neural Networks (CNNs), which are so far the method of choice in the literature.

Naturally occurring N-terminal mutations in SARS-CoV-2 nsp1 impact innate immune modulation but do not affect virus virulence.

The non-structural protein 1 (nsp1) of SARS-CoV-2 plays a key role in host innate immune evasion. We identified two deletion variants (Δ82-85 and Δ83-86) in the N-terminal region of the nsp1 of a SARS-CoV-2 BA.5.2.1 variant recovered from a human patient. Analysis of the sequence databases revealed a frequency of 0.5% of these mutations amongst available SARS-CoV-2 sequences. Structural analysis of the deletion mutant nsp1Δ82-85 and nsp1Δ83-86 revealed a distortion in the protein pocket when compared to the wild-type nsp1 which may affect protein function. To evaluate the functional relevance of these mutations, we cloned the mutant BA.5.2.1 nsp1Δ82-85 and nsp1Δ83-86 and wild-type nsp1 proteins in expression plasmids and performed luciferase reporter-based assays to assess activation of the interferon and nuclear factor kappa B (NF-κB) signalling pathways. Both nsp1Δ82-85 and nsp1Δ83-86 mutants showed marked decreased ability to inhibit the interferon beta (IFN-β) and NF-κB pathway activation. To assess the relevance of these deletions in the context of SARS-CoV-2 infection, we generated recombinant viruses carrying the wild type BA.5.2.1 nsp1 or the BA.5.2.1 nsp1Δ82-85 and nsp1Δ83-86 deletions in the backbone of WA1 strain. In vitro characterization of the recombinant SARS-CoV-2 viruses revealed that the recombinant viruses containing the nsp1Δ82-85 and nsp1Δ83-86 deletions presented similar plaque size and morphology to those produced by the wild-type rWA1-BA.5.2.1-nsp1 virus, indicating a similar ability of the mutant viruses to spread from cell to cell. Importantly, pathogenesis studies revealed that these mutations did not affect virus virulence and pathogenesis in a hamster model of SARS-CoV-2 infection.

Moving Beyond Oxford Nanopore Standard Procedures: New Insights from Water and Multiple Fish Microbiomes

Oxford Nanopore Technology (ONT) allows for the rapid profiling of aquaculture microbiomes. However, not all the experimental and downstream methodological possibilities have been benchmarked. Here, we aimed to offer novel insights into the use of different library preparation methods (standard-RAP and native barcoding-LIG), primers (V3–V4, V1–V3, and V1–V9), and basecalling models (fast-FAST, high-HAC, and super-accuracy-SUP) implemented in ONT to elucidate the microbiota associated with the aquatic environment and farmed fish, including faeces, skin, and intestinal mucus. Microbial DNA from water and faeces samples could be amplified regardless of the library–primer strategy, but only with LIG and V1–V3/V1–V9 primers in the case of skin and intestine mucus. Low taxonomic assignment levels were favoured by the use of full-length V1–V9 primers, though in silico hybridisation revealed a lower number of potential matching sequences in the SILVA database, especially evident with the increase in Actinobacteriota in real datasets. SUP execution allowed for a higher median Phred quality (24) than FAST (11) and HAC (17), but its execution time (6–8 h) was higher in comparison to the other models (0.6–7 h). Altogether, we optimised the use of ONT for water- and fish-related microbial analyses, validating, for the first time, the use of the LIG strategy. We consider that LIG–V1–V9-HAC is the optimal time/cost-effective option to amplify the microbial DNA from environmental samples. However, the use of V1–V3 could help to maximise the dataset microbiome diversity, representing an alternative when long amplicon sequences become compromised by microbial DNA quality and/or high host DNA loads interfere with the PCR amplification/sequencing procedures, especially in the case of gut mucus.

Improved understanding of sequence polymorphisms at 42 Y chromosome short tandem repeats for the Chinese Han population

Y-chromosome short tandem repeat (Y-STR) is an important type of genetic markers in the human genome, widely used in molecular anthropology and forensic genetics. However, most Y-STR studies has been focused on the length-based variations resulting from differences in the number of repeat units. Less attention was paid to sequence-based Y-STR variations. Consequently, sequence-based variation characteristics of Y-STRs in Chinese populations remain insufficiently studied. In this study, targeted sequencing of 42 Y-STR loci was performed for 331 Chinese Han males (with an average sequencing depth of 612 ×), unveiling a total of 387 sequence allele types and their frequencies in the population. Repeat pattern variations were observed in seven loci containing multiple repeat units. Across all sequenced repeat and flanking regions, 46 single-nucleotide substitutions and insertion/deletion variations were identified, including 13 mutations not recorded in the dbSNP database. Twenty-seven previously unreported sequence-based alleles were identified. Additionally, differences in Y-STRs between the Chinese Han population and three American populations (African Americans, Caucasians, and Hispanics) were revealed from sequence-based data analysis. In summary, this study provides a detailed summary of the sequence features of 42 Y-STRs in the Chinese Han population, improving our understanding of Y-STRs and providing basic data of sequence variations for the application of Y-STRs.

The Computational Tools to Identify DNA Repeats and Motifs: A Systematic Review.

DNA repeats and motifs are specific nucleotide patterns/DNA sequences frequently present in the genomes of prokaryotes and eukaryotes. Computational identification of these discrete patterns is of considerable importance since they are associated with gene regulation, genomic instability, and genetic diversity and result in a variety of diseases/disorders. In this article, the myriad of computational tools/algorithms and databases (~200 distinct resources) implicated in the detection of DNA repeats and motifs have been enlisted. This article will not only provide guidance to the users regarding the accuracy, reliability, and popularity (reflected by the citation index) of currently available tools but also enable them to select the best tool(s) to carry out a desired task. The structured literature review, with its dependable and reproducible research process, allowed us to acquire 200 peer-reviewed publications from indexing databases, such as Scopus, ScienceDirect, Web of Science (WoS), PubMed, and EMBASE, by utilizing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) regulations. Numerous keyword combinations regarding DNA repeats and motifs were used to create the query syntax. Initially, 3,233 research publications were retrieved, and 200 of them that satisfied the eligibility criteria for the detection and identification of DNA repeats and motifs by computational tools were chosen. A total of 200 research publications were recovered, of which 99 dealt with repeat prediction tools, 12 with repetitive sequence databases, 19 with specialized regulatory element databases, and 69 with motif prediction tools. This article lists numerous databases and computational tools/algorithms (~ 200 different resources) that are involved in the identification of DNA repeats and motifs. It will help users choose the appropriate tool(s) for carrying out a particular task in addition to offering guidance on the reliability, dependability, and popularity (as indicated by the citation index) of currently available tools.

Pf-HaploAtlas: an interactive web app for spatiotemporal analysis of P. falciparum genes.

Monitoring the genomic evolution of Plasmodium falciparum-the most widespread and deadliest of the human-infecting malaria species-is critical for making decisions in response to changes in drug resistance, diagnostic test failures, and vaccine effectiveness. The MalariaGEN data resources are the world's largest whole genome sequencing databases for Plasmodium parasites. The size and complexity of such data is a barrier to many potential end users in both public health and academic research. A user-friendly method for accessing and exploring data on the genetic variation of P. falciparum would greatly enable efforts in studying and controlling malaria. We developed Pf-HaploAtlas, a web application enabling exploratory data analysis of genomic variation without requiring advanced technical expertise. The app provides analysis-ready data catalogues and visualisations of amino acid haplotypes for all 5,102 core P. falciparum genes. Pf-HaploAtlas facilitates comprehensive spatial and temporal exploration of genes and variants of interest by using data from 16,203 samples, from 33 countries, and spread between the years 1984 and 2018. The scope of Pf-HaploAtlas will expand with each new MalariaGEN Plasmodium data release. Pf-HaploAtlas is available online for public use at https://apps.malariagen.net/pf-haploatlas, which allows users to download the underlying amino acid haplotype data for further analyses, and its source code is freely available on GitHub under the MIT licence at https://github.com/malariagen/pf-haploatlas.

NAMERS: a purpose-built reference DNA sequence database to support applied eDNA metabarcoding

Applied eDNA metabarcoding is increasingly being considered as a tool to inform management decisions, regulations, or policy development. Because these downstream considerations are coming to the forefront of eDNA applications, optimizing workflow elements is essential to increasing standardization, efficiency, and competency of metabarcoding results. Reference DNA sequences are critical workflow elements that currently lack consistent approaches to generating, curating, or publishing. We present a complete mitochondrial genome and nuclear ribosomal DNA cistron reference DNA sequence library for 92% of the freshwater fish species of British Columbia, Canada. This resource is published as the Novel Applied eDNA Metabarcoding Reference Sequences (NAMERS) repository (https://namers.ca), a user-friendly and interactive website for specialists and non-specialists alike to explore and generate custom reference libraries for taxa and genes of interest. We demonstrate the power of NAMERS for optimization of applied eDNA metabarcoding study design by analyzing the number of primer mismatches and species resolution power of existing metabarcoding markers. NAMERS demonstrates that high quality curated genomic information is within a reasonable reach to meet the increasing demand for actionable eDNA metabarcoding applications. The framework used here incorporating the pillars of accuracy, completeness and accessibility can be applied for new iterations of other reference sequence databases to bring DNA-based monitoring into a new era.

Mycobacterium smegmatis MraZ Regulates Multiple Genes within and Outside of the dcw Operon during Hypoxia.

Mycobacterium tuberculosis is the most ancient human tuberculosis pathogen and has been the leading cause of death from bacterial infectious diseases throughout human history. According to the World Health Organization Global Tuberculosis Report, in 2022, 7.5 million new tuberculosis cases were identified, marking the highest number of cases since the World Health Organization initiated its worldwide tuberculosis surveillance program in 1995. The 2019 peak was 7.1 million cases, with 5.8 million cases in 2020 and 6.4 million in 2021. The increase in 2022, which may be attributed to the COVID-19 pandemic complicating tuberculosis case tracing, has raised concerns. To better understand the regulation spectrum of Mycobacterium smegmatis mraZ under hypoxia, we performed a transcriptome analysis of M.smegmatis mutant and wild-type strains using Illumina Agilent 5300 sequencing. The study identified 6898 differentially expressed genes, which were annotated with NCBI nonredundant protein sequences, a manually annotated and reviewed protein sequence database, Pfam, Clusters of Orthologous Groups of Proteins, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes. Several mycobacteria transcriptional regulators, virulence genes, membrane transporters, and cell wall biosynthesis genes were annotated. These data serve as a valuable resource for future investigations and may offer insight into the development of drugs to combat M.tuberculosis infection.

Abstract B037: Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR

Abstract Breast cancer, the second highest cause of cancer-related deaths in women, accounts for 31% of female cancer diagnoses. African American women have lower survival rates than White American women, influenced by both biological factors (age, family history, genetic factors, tumor biology) and social determinants (socio-economic status, insurance status, health care access). However, precise biological determinants remain unclear. The primary reason for breast cancer mortality is metastasis to organs like the lung, liver, and brain, with transcription factors playing a key role in this process. Myocardin related transcription factor A/B (MRTFA/B) are co-activators of serum-response factor (SRF), and the MRTF-SRF complex promotes breast cancer cell migration, invasion, and metastasis by regulating genes involved in actin cytoskeleton remodeling. MRTFA also supports tumor growth by modulating cancer-associated fibroblasts (CAFs) and remodeling the extracellular matrix (ECM) in the tumor microenvironment. While the pro-metastatic role of MRTFA/B is established in vitro and in mice, their impact on human cancer progression and metastasis requires further investigation. Therefore, understanding MRTFA's role in breast cancer metastasis is crucial for improving patient outcomes, making it essential to investigate MRTFA/B expression patterns in both tumor cells and the tumor microenvironment (TME). To explore the clinical, demographic, tumor-intrinsic, and tumor microenvironmental patterns of MRTFA/B’s expression and activation, we utilized multiplex imaging methods on multiple racially diverse tissue microarrays (TMA) and bioinformatics analyses of The Cancer Genome Atlas (TCGA), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), and available single-cell RNA sequencing datasets. Strikingly, MRTFA expression levels were higher in African American patients than in White American patients. Next, we investigated MRTFA expression patterns in the TME by using single-cell sequencing databases and found more abundant MRTFA expression in dendritic cells (DCs) within the TME compared to any other cell subtype. Moreover, our multiplex-imaging of tumor microarray (TMA) samples showed prominent MRTFA expression in HLA-DRA+CD45+ cells, indicative of antigen-presenting cells (APC). Notably, public single-cell RNA sequencing data indicated that breast cancer DCs strongly express the V-set immunoregulatory receptor (VSIR), an immune checkpoint protein, implying the immunosuppressive nature of the TME and we found that this increased VSIR expression is mediated by the MRTF-SRF complex. These findings suggest that DCs expressing MRTFA in breast cancer microenvironment contribute to creating the immunosuppressive TME via upregulation of VSIR expression, resulting in racial breast cancer disparities. Citation Format: Kihak Lee, Stephanie M. Wilk, Alexa M. Gajda, Mohamed Haloul, Virgilia Macias, Elizabeth L. Wiley, Zhengjia Chen, Xinyi Liu, Xiaowei Wang, Maria Sverdlov, Kent F. Hoskins, Ekrem Emrah Er. Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr B037.