DNA Segments Research Articles

Junk DNA: Is it Really Junk - or a Code Waiting to Be Cracked?

The idea that our genetic material contains Junk DNA is fading. Many DNA segments that were previously believed to be worthless now have important functions, according to recent studies. These non-coding areas, once known as Junk DNA, are crucial for regulating when and how genes function even though they do not directly make proteins. They assist our cells respond to various circumstances and direct the growth of organisms. Certain non-coding DNA sequences function as switches that determine where and when genes should be activated or deactivated. Furthermore, some non-coding DNA segments help maintain the orderly structure of our chromosomes. They also contribute to the evolution of species and may contain remnants of ancient viruses that once infected our forebears. Although scientists still don’t fully understand every aspect of non-coding DNA, it is now recognized as a complex and active element of our biology. Researchers believe that what was once labelled as Junk DNA could actually be very important for our health, development, and ability to adapt to environmental changes. This new perspective is helping us understand how valuable Junk DNA really is.

Mosaic chromosomal alterations (mCAs) in individuals with monoclonal B-cell lymphocytosis (MBL)

MBL is a precursor condition to chronic lymphocytic leukemia (CLL), characterized by monoclonal B-cells in blood. Mosaic chromosomal alterations (mCAs) are a form of clonal hematopoiesis that include gains, losses, and copy-neutral loss-of-heterozygosity of large DNA segments. Both MBL and mCAs have been found to increase the risk of CLL and lymphoid malignancies, and the aim of our study was to investigate how mCAs relate to MBL, which is currently unknown. We analyzed genetic, flow cytometric, and hematologic data from 4632 individuals from the Mayo Clinic Biobank and CLL Database. MBL was detected using flow cytometry and classified as high-count (HC) or low-count (LC) MBL based on clone size. mCAs were detected primarily from whole blood DNA using sensitive SNP-array-based analyses. mCAs commonly altered in CLL (deletion of 6q, 11q, 13q, 17p, and trisomy 12) were specific (>99%) to individuals with MBL and CLL. HC-MBL and LC-MBL individuals were 881-fold and 8-fold, respectively, more likely to harbor CLL-associated mCAs than those without MBL. The cell fraction bearing these mCAs typically exceeded the B-cell fraction, suggesting their origin prior to the B-cell lineage. Integrating genetic and blood count data enabled detecting HC-MBL with high specificity in a biobank sample. These results quantify the contribution of mCAs to MBL and could enable large studies of HC-MBL without the need for flow cytometric screening.

CTCF-dependent insulation of Hoxb13 and the heterochronic control of tail length

Mammalian tail length is controlled by several genetic determinants, among which are Hox13 genes, whose function is to terminate the body axis. Accordingly, the precise timing in the transcriptional activation of these genes may impact upon body length. Unlike other Hox clusters, HoxB lacks posterior genes between Hoxb9 and Hoxb13, two genes separated by a ca. 70 kb large DNA segment containing a high number of CTCF sites, potentially isolating Hoxb13 from the rest of the cluster and thereby delaying its negative impact on trunk extension. We deleted the spacer DNA to induce a potential heterochronic gain of function of Hoxb13 at physiological concentration and observed a shortening of the tail as well as other abnormal phenotypes. These defects were all rescued by inactivating Hoxb13 in-cis with the deletion. A comparable gain of function was observed in mutant Embryonic Stem (ES) cells grown as pseudoembryos in vitro, which allowed us to examine in detail the importance of both the number and the orientation of CTCF sites in the insulating activity of the DNA spacer. A short cassette containing all the CTCF sites was sufficient to insulate Hoxb13 from the rest of HoxB, and additional modifications of this CTCF cassette showed that two CTCF sites in convergent orientations were already capable of importantly delaying Hoxb13 activation in these conditions. We discuss the relative importance of genomic distance versus number and orientation of CTCF sites in preventing Hoxb13 to be activated too early during trunk extension and hence to modulate tail length.

Transfer of mitochondrial DNA into the nuclear genome during induced DNA breaks

Mitochondria serve as the cellular powerhouse, and their distinct DNA makes them a prospective target for gene editing to treat genetic disorders. However, the impact of genome editing on mitochondrial DNA (mtDNA) stability remains a mystery. Our study reveals previously unknown risks of genome editing that both nuclear and mitochondrial editing cause discernible transfer of mitochondrial DNA segments into the nuclear genome in various cell types including human cell lines, primary T cells, and mouse embryos. Furthermore, drug-induced mitochondrial stresses and mtDNA breaks exacerbate this transfer of mtDNA into the nuclear genome. Notably, we observe that mitochondrial editors, including mitoTALEN and recently developed base editor DdCBE, can also enhance crosstalk between mtDNA and the nuclear genome. Moreover, we provide a practical solution by co-expressing TREX1 or TREX2 exonucleases during DdCBE editing. These findings imply genome instability of mitochondria during induced DNA breaks and explain the origins of mitochondrial-nuclear DNA segments.

Single Nucleotide Polymorphisms (SNPs) in the Shadows: Uncovering their Function in Non-Coding Region of Esophageal Cancer.

Esophageal cancer is a complex disease influenced by genetic and environmental factors. Single nucleotide polymorphisms (SNPs) in non-coding regions of the genome have emerged as crucial contributors to esophageal cancer susceptibility. This review provides a comprehensive overview of the role of SNPs in non-coding regions and their association with esophageal cancer. The accumulation of SNPs in the genome has been implicated in esophageal cancer risk. Various studies have identified specific locations in the genome where SNPs are more likely to occur, suggesting a location-specific response. Chromatin conformational studies have shed light on the localization of SNPs and their impact on gene transcription, posttranscriptional modifications, gene expression regulation, and histone modification. Furthermore, miRNA-related SNPs have been found to play a significant role in esophageal squamous cell carcinoma (ESCC). These SNPs can affect miRNA binding sites, thereby altering target gene regulation and contributing to ESCC development. Additionally, the risk of ESCC has been linked to base excision repair, suggesting that SNPs in this pathway may influence disease susceptibility. Somatic DNA segment alterations and modified expression quantitative trait loci (eQTL) have also been associated with ESCC. These alterations can lead to disrupted gene expression and cellular processes, ultimately contributing to cancer development and progression. Moreover, SNPs have been found to be associated with the long non-coding RNA HOTAIR, which plays a crucial role in ESCC pathogenesis. This review concludes with a discussion of the current and future perspectives in the field of SNPs in non-coding regions and their relevance to esophageal cancer. Understanding the functional implications of these SNPs may lead to the identification of novel therapeutic targets and the development of personalized approaches for esophageal cancer prevention and treatment.

Discovery of a cryptic founder variant in MYBPC3 associated with hypertrophic cardiomyopathy by promoting the most frequent natural missplicing events

Abstract Introduction MYBPC3 splicing errors are a common cause of hypertrophic cardiomyopathy (HCM). Most known actionable intronic variants are located near exons. However, genetic variants in deep intronic regions are also emerging as casuals factors of HCM. The previously undescribed variant MYBPC3 (NM_000256.3):c.2308+227G>A is not reported in gnomAD or dbSNP but is overrepresented in a cohort of probands with HCM from the same geographical area. This led us to suspect its clinical relevance despite the very low probability of being splice-altering as assigned by SpliceAI (Δ score = 0.03). Purpose To conduct a phenotypic and clinical description of the cohort, ascertain the pathogenicity of the variant, and investigate the existence of a common ancestor. Methods (1) Observational analysis of clinical data and familial evaluation results, (2) Functional study involving mRNA expression analysis in peripheral blood, along with in silico analysis of the splicing disruption mechanism, and (3) Haplotype analysis to evaluate the founder effect and assess the age of the mutation. Results MYBPC3:c.2308+227G>A was identified in 26 probands with HCM (69% male; mean age at diagnosis 53±10 years). Eighty relatives from 20 families were screened resulting in 17 cases diagnosed (mean age 49±19 years; 53% males), 19 positive genotype/negative phenotype and 38 non-carriers. The greatest cosegregation involved three cases carrying the variant, confirmed in four different families. Males were diagnosed at a younger age but without significant differences in clinical features or events during follow-up (table). RT-PCR expression analysis in patients' blood revealed that this variant disrupts pre-mRNA splicing by promoting the use of cryptic donor and acceptor splice sites, located downstream and upstream of the variant, respectively, which are already present in the intron 23 reference sequence. Strikingly, these cryptic splice sites represent one of the most frequent natural unannotated missplicing events in MYBPC3, as evidenced by SpliceVault analysis of high-throughput RNA sequencing databases. The direct primary event induced by the variant is expected to disrupt a regulatory RNA-protein binding site, thereby unblocking the use of preexisting cryptic splice sites and amplifying natural exonification missplicing events within intron 23 (figure). Finally, the haplotype analysis, based on the copy number of nine STRs covering a total of 29.2 Mb surrounding MYBPC3:c.2308+227G>A, revealed that 17 unrelated carriers shared a DNA segment of 10 Mb (10,067,150 bp). The origin of this mutation is estimated to be at least 82 generations ago and roughly 1649 years in the past (IC95%:1180-2300). Conclusions MYBPC3:c.2308+227G>A is an elusive novel deep intronic variant causing HCM by a molecular mechanism not previously described in this context. The founder effect of this variant is confirmed in our geographical area.Phenotypic and clinical characteristics

Advances in bacterial artificial chromosome (BAC) transgenic mice for gene analysis and disease research.

Transgenic mice, including those created using Bacterial Artificial Chromosomes (BACs), are artificial manipulations that have become critical tools for studying gene function. While conventional transgenic techniques face challenges in achieving precise expression of foreign genes in specific cells and tissues, BAC transgenic mice offer a solution by incorporating large DNA segments that can include entire expression units with tissue-specific enhancers. This review provides a thorough examination of BAC transgenic mouse technology, encompassing both traditional and humanized models. We explore the benefits and drawbacks of BAC transgenesis compared to other techniques such as knock-in and CRISPR/Cas9 technologies. The review emphasizes the applications of BAC transgenic mice in various disciplines, including neuroscience, immunology, drug metabolism, and disease modeling. Additionally, we address crucial aspects of generating and analyzing BAC transgenic mice, such as position effects, copy number variations, and strategies to mitigate these challenges. Despite certain limitations, humanized BAC transgenic mice have proven to be invaluable tools for studying the pathogenesis of human diseases, drug development, and understanding intricate gene regulatory mechanisms. This review discusses current topics on BAC transgenic mice and their evolving significance in biomedical research.

The complete mitochondrial genome of Castanopsis carlesii and Castanea henryi reveals the rearrangement and size differences of mitochondrial DNA molecules

BackgroundCastanopsis carlesii is a dominant tree species in subtropical evergreen broad-leaved forests and holds significant ecological value. It serves as an excellent timber tree species and raw material for cultivating edible fungi. Henry Chinquapin (Castanea henryi) wood is known for its hardness and resistance to water and moisture, making it an exceptional timber species. Additionally, its fruit has a sweet and fruity taste, making it a valuable food source. However, the mitogenomes of these species have not been previously reported. To gain a better understanding of them, this study successfully assembled high-quality mitogenomes of C. carlesii and Ca. henryi for the first time.ResultsOur research reveals that the mitochondrial DNA (mtDNA) of C. carlesii exhibits a unique multi-branched conformation, while Ca. henryi primarily exists in the form of two independent molecules that can be further divided into three independent molecules through one pair of long repetitive sequences. The size of the mitogenomes of C. carlesii and Ca. henryi are 592,702 bp and 379,929 bp respectively, which are currently the largest and smallest Fagaceae mitogenomes recorded thus far. The primary factor influencing mitogenome size is dispersed repeats. Comparison with published mitogenomes from closely related species highlights differences in size, gene loss patterns, codon usage preferences, repetitive sequences, as well as mitochondrial plastid DNA segments (MTPTs).ConclusionsOur study enhances the understanding of mitogenome structure and evolution in Fagaceae, laying a crucial foundation for future research on cell respiration, disease resistance, and other traits in this family.

Skin senescence-from basic research to clinical practice.

The most recognizable implications of tissue aging manifest themselves on the skin. Skin laxity, roughness, pigmentation disorders, age spots, wrinkles, telangiectasia or hair graying are symptoms of physiological aging. Development of the senescent phenotype depends on the interaction between aging cells and remodeling of the skin's extracellular matrix (ECM) that contains collagen and elastic fiber. Aging changes occur due to the combination of both endogenous (gene mutation, cellular metabolism or hormonal agents) and exogenous factors (ultraviolet light, environmental pollutants, and unsuitable diet). However, overproduction of mitochondrial reactive oxygen species (ROS) is a key factor driving cellular senescence. Aging theories have disclosed a range of diverse molecular mechanisms that are associated with cellular senescence of the body. Theories best supported by evidence include protein glycation, oxidative stress, telomere shortening, cell cycle arrest, and a limited number of cell divisions. Accumulation of the ECM damage is suggested to be a key factor in skin aging. Every cell indicates a functional and morphological change that may be used as a biomarker of senescence. Senescence-associated β-galactosidase (SA-β-gal), cell cycle inhibitors (p16INK4a, p21CIP1, p27, p53), DNA segments with chromatin alterations reinforcing senescence (DNA-SCARS), senescence-associated heterochromatin foci (SAHF), shortening of telomeres or downregulation of lamina B1 constitute just an example of aging biomarkers known so far. Aging may also be assessed non-invasively through measuring the skin fluorescence of advanced glycation end-products (AGEs). This review summarizes the recent knowledge on the pathogenesis and clinical conditions of skin aging as well as biomarkers of skin senescence.

Novel Electrochemical Sensor Based on One-Step Encapsulation of Metal-Organic Framework (MOF) for Simultaneous Detection of SARS-CoV and SARS-CoV-2.

This study investigates three metal-organic frameworks (MOFs) with distinct Brunauer-Emmett-Teller (BET) surface areas and pore sizes: MOFZr (1274 m2/g, <0.7 nm), MOFAl (371 m2/g, 1.5 nm), and MOFCr (1917 m2/g, 2 nm). Methylene blue (MB, 1.4 × 0.7 × 0.2 nm3) and triferrocene (tri-FC, 1.2 × 0.9 × 0.3 nm3) were adsorbed onto these MOFs. Specific DNA segments targeting SARS-CoV-2 (PR and PO) were employed to block the pores of the MOFs, leading to the formation of DNA-gated MOFs: MOFX/MB/PR and MOFX/tri-FC/PO. These constructs were subsequently integrated with four-arm poly(ethylene glycol) amine (4-arm-PEG-NH2)-modified gold electrodes to create the corresponding sensors (MOFX/MB/PR+MOFX/tri-FC/PO@4-arm-PEG-NH2@Au NPs@GCE). The DNA-gated MOFAl system exhibited the highest loading capacity and a 3-fold increase in sensing efficiency following the introduction of SARS-CoV-2 target DNA, surpassing the performance of the other systems. This study highlights the enhancement of the DNA-gated MOFs when the three-dimensional structures of the guest molecules closely align with the pore sizes of the MOFs. It emphasizes a critical aspect of the traditional design approach for electrochemical sensors based on MOF encapsulation, which often prioritizes BET surface areas while neglecting the compatibility between the sizes of guest molecules and MOF pore diameters. Moreover, the sensor effectively discriminated between SARS-CoV-2 and SARS-CoV by precisely aligning the SARS-CoV-2 target DNA with PR and PO. In contrast, the specific genetic targets (SR) from SARS-CoV showed complete mismatches with PO and a three-base deviation with PR. This differentiation was achieved in a simple one-step assay, even in 5% serum, across a linear concentration range of 10-9 to 10-14 M. This range signifies an expansion of 2 to 3 orders of magnitude compared to sensors that inaccurately selected MOFs.

The interplay of mutagenesis and ecDNA shapes urothelial cancer evolution

Advanced urothelial cancer is a frequently lethal disease characterized by marked genetic heterogeneity1. In this study, we investigated the evolution of genomic signatures caused by endogenous and external mutagenic processes and their interplay with complex structural variants (SVs). We superimposed mutational signatures and phylogenetic analyses of matched serial tumours from patients with urothelial cancer to define the evolutionary dynamics of these processes. We show that APOBEC3-induced mutations are clonal and early, whereas chemotherapy induces mutational bursts of hundreds of late subclonal mutations. Using a genome graph computational tool2, we observed frequent high copy-number circular amplicons characteristic of extrachromosomal DNA (ecDNA)-forming SVs. We characterized the distinct temporal patterns of APOBEC3-induced and chemotherapy-induced mutations within ecDNA-forming SVs, gaining new insights into the timing of these mutagenic processes relative to ecDNA biogenesis. We discovered that most CCND1 amplifications in urothelial cancer arise within circular ecDNA-forming SVs. ecDNA-forming SVs persisted and increased in complexity, incorporating additional DNA segments and contributing to the evolution of treatment resistance. Oxford Nanopore Technologies long-read whole-genome sequencing followed by de novo assembly mapped out CCND1 ecDNA structure. Experimental modelling of CCND1 ecDNA confirmed its role as a driver of treatment resistance. Our findings define fundamental mechanisms that drive urothelial cancer evolution and have important therapeutic implications.

TREC and KREC values in patients with congenital heart defects — neonatal screening data

Relevance. Children with congenital heart disease (CHD) are at high risk of infectious complications with unfavorable outcomes, which is associated with inadequate immune responses. TREC and KREC are recognized biomarkers of T- and B-cell lymphopoiesis.Objective of the study: to evaluate the number of circular DNA segments — TREC and KREC in children with congenital heart defects.Materials and methods. The study used data from neonatal screening for primary immunodeficiencies in the Stavropol region from January 1, 2023, to June 30, 2024. An analysis of TREC and KREC was conducted in 43 newborns with CHD compared to healthy infants.Results. The levels of TREC and KREC in children with CHD were lower than in healthy children. A correlation was established between TREC levels and absolute lymphopenia, as well as the development of infectious complications. A decrease in KREC was identified in infants with CHD and genetic syndromes. It was shown that a TREC level of less than 650 copies per 105 cells may be a predictor of the development of infectious complications in newborns with CHD.Conclusions. The reduction in the number of TREC and KREC copies in neonatal screening allows for the identification of children with CHD at high risk of infection, opening potential opportunities for preventive therapy.

Copy Number Variants in 30 Saudi Pediatric Patients with Neurodevelopmental Disorders: From Unknown Significance to Diagnosis.

Structural variants (SVs), such as copy number variants (CNVs), insertions, deletions, inversions, and translocations, contribute significantly to genetic diversity and disease etiology. CNVs, which involve the duplication or deletion of DNA segments, are particularly impactful on genes crucial for biological functions and disease processes. To reassess unclassified SVs that may be underlying unresolved neurodevelopmental disorders among Saudi patients. In this retrospective study conducted at King Saud Medical City, Riyadh, Saudi Arabia, 30 probands with neurodevelopmental disorders and congenital malformations were examined using next-generation sequencing methods-exome sequencing, gene panels, or SNP arrays (the Illumina platform). Reclassification was aided by online tools such as VarSome and ClinVar, with pathogenicity assessments using the ClinGen CNV Pathogenicity Calculator based on American College of Medical Genetics and Genomics criteria for CNV loss and gain, and dosage sensitivity. A total of 31 CNVs were analyzed, of which 2 were reclassified: one as benign and the other as pathogenic. The pathogenic CNV, [3p13p12.3 (70411134_75249376) x1], included a deletion of the FOXP1 gene and was associated with an intellectual developmental disorder, language impairment, possible autistic features, psychomotor impairment, developmental regression, and epilepsy. This study underscores the importance of continuously documenting and revisiting unclassified CNVs in accessible databases to enhance the diagnosis and understanding of complex genotype-phenotype relationships. Reclassifying these CNVs not only accelerates diagnostic processes but also enriches our insight into their significant roles in health and disease.

DNA barcoding: An effective molecular tool for species identification, molecular authentication and phylogeny studies in plant science research

DNA barcoding is a technique for identifying specimens using brief, standardised DNA segments. In a variety of fields, including phylogeny, ecology, population genetics and biodiversity, DNA barcoding has become a successful method for precisely distinguishing species. The method is straightforward, efficient in both time and money and accurate. The key to successful DNA barcoding is choosing the right DNA marker. Since the idea of a quick approach for species identification was first put up in 2003, the scientific community has been keen to realise the potential of DNA barcodes. Cytochrome c oxidase, I (COI) region of the mitochondrial genome is mostly recognised as a standard barcoding region in animals. Later, rbcL + matK pairing, with a 70 % discriminating efficiency, was suggested by the Plant Working Group (PWG) of the Consortium for the Barcoding of Life (CBOL) as the standard barcode in plants. Three conditions must be met for a gene region to be an efficient DNA barcode: it must have sufficient species-level genetic divergence and variability, it must have conserved flanking regions for the widest taxonomic use and for generating universal PCR primers and it should be long enough to facilitate current capability for sequencing and extracting DNA. Different combinations of plastid coding, non-coding and nuclear markers are utilised as supplemental markers to boost the degree of plant species differentiation. The reliability of different barcodes in distinguishing species varies among different groups of plants. As DNA barcoding approaches its twentieth anniversary, technologies are still being developed that make use of this resource, which is constantly expanding in a variety of biological disciplines. Plant DNA barcoding, which became a scientific advance during the last ten years, is frequently employed as a taxonomical aid in identifying species. It is a way of choosing genetic loci that identifies and distinguishes an organism's membership from specific species, variations or even intervarieties. It varies from molecular phylogeny, which identifies an unknown sample from an existing classification rather than identifying patterns of association.

High Nucleotide Skew Palindromic DNA Sequences Function as Potential Replication Origins due to their Unzipping Propensity.

Locations of DNA replication initiation in prokaryotes, called "origins of replication", are well-characterized. However, a mechanistic understanding of the sequence dependence of the local unzipping of double-stranded DNA, the first step towards replication initiation, is lacking. Here, utilizing a Markov chain model that was created to address the directional nature of DNA unzipping and replication, we model the sequence dependence of local melting of double-stranded linear DNA segments. We show that generalized palindromic sequences with high nucleotide skews have a low kinetic barrier for local melting near melting temperatures. This allows for such sequences to function as potential replication origins. We support our claim with evidence for high-skew palindromic sequences within the replication origins of mitochondrial DNA, bacteria, archaea and plasmids.

Nuclear dualism without extensive DNA elimination in the ciliate Loxodes magnus

Most eukaryotes have one nucleus and nuclear genome per cell. Ciliates have instead evolved distinct nuclei that coexist in each cell: a silent germline vs. transcriptionally active somatic nuclei. In the best-studied model species, both nuclei can divide asexually, but only germline nuclei undergo meiosis and karyogamy during sex. Thereafter, thousands of DNA segments, called internally eliminated sequences (IESs), are excised from copies of the germline genomes to produce the streamlined somatic genome. In Loxodes, however, somatic nuclei cannot divide but instead develop from germline copies even during asexual cell division, which would incur a huge overhead cost if genome editing was required. Here, we purified and sequenced both genomes in Loxodes magnus to see whether their nondividing somatic nuclei are associated with differences in genome architecture. Unlike in other ciliates studied to date, we did not find canonical germline-limited IESs, implying Loxodes does not extensively edit its genomes. Instead, both genomes appear large and equivalent, replete with retrotransposons and repetitive sequences, unlike the compact, gene-rich somatic genomes of other ciliates. Two other hallmarks of nuclear development in ciliates-domesticated DDE-family transposases and editing-associated small RNAs-were also not found. Thus, among the ciliates, Loxodes genomes most resemble those of conventional eukaryotes. Nonetheless, base modifications, histone marks, and nucleosome positioning of vegetative Loxodes nuclei are consistent with functional differentiation between actively transcribed somatic vs. inactive germline nuclei. Given their phylogenetic position, it is likely that editing was present in the ancestral ciliate but secondarily lost in the Loxodes lineage.

Graph-based analysis of DNA sequence comparison in closed cotton species: A generalized method to unveil genetic connections.

Graph theory provides a systematic method for modeling and analysing complicated biological data as an effective bioinformatics tool. Based on current trends, the number of DNA sequences in the DNA database is growing quickly. To determine the origin of a species and identify homologous sequences, it is crucial to detect similarities in DNA sequences. Alignment-free techniques are required for accurate measures of sequence similarity, which has been one of the main issues facing computational biologists. The current study provides a mathematical technique for comparing DNA sequences that are constructed in graph theory. The sequences of each DNA were divided into pairs of nucleotides, from which weighted loop digraphs and corresponding weighted vectors were computed. To check the sequence similarity, distance measures like Cosine, Correlation, and Jaccard were employed. To verify the method, DNA segments from the genomes of ten species of cotton were tested. Furthermore, to evaluate the efficacy of the proposed methodology, a K-means clustering method was performed. This study proposes a proof-of-model that utilises a distance matrix approach that promises impressive outcomes with future optimisations to be made to the suggested solution to get the hundred percent accurate result. In the realm of bioinformatics, this paper highlights the use of graph theory as an effective tool for biological data study and sequence comparison. It's expected that further optimization in the proposed solution can bring remarkable results, as this paper presents a proof-of-concept implementation for a given set of data using the proposed distance matrix technique.

Striving for clarity in language about gene expression.

What do we mean when we say 'gene expression'? In the decades following Crick's 1958 central dogma of molecular biology, whereby genetic information flows from DNA (genes) to RNA (transcripts) to protein (products), we have learned a great deal about DNA, RNA, proteins, and the ensuing phenotypic changes. With the advent of high-throughput technologies (1990s), molecular biologists and computer scientists forged critical collaborations to understand the vast amount of data being generated, rapidly escalating gene expression research to the 'omics' level: entire sets of genes (genomes), transcribed RNAs (transcriptomes), and synthesized proteins (proteomes). However, some concessions came to be made for molecular biologists and computer scientists to understand each other-one of the most prevalent being the increasingly widespread use of 'gene' to mean 'RNAs originating from a DNA segment'. This loosening of terminology, we will argue, creates ambiguity and confusion. We propose guidelines to increase precision and clarity when communicating about gene expression, most notably to reserve 'gene' for the DNA template and 'transcript' for the RNA transcribed from that gene. Striving to use perspicuous terminology will promote rigorous gene expression science and accelerate discovery in this highly promising area of biology.

GGTyper: genotyping complex structural variants using short-read sequencing data.

Complex structural variants (SVs) are genomic rearrangements that involve multiple segments of DNA. They contribute to human diversity and have been shown to cause Mendelian disease. Nevertheless, our abilities to analyse complex SVs are very limited. As opposed to deletions and other canonical types of SVs, there are no established tools that have explicitly been designed for analysing complex SVs. Here, we describe a new computational approach that we specifically designed for genotyping complex SVs in short-read sequenced genomes. Given a variant description, our approach computes genotype-specific probability distributions for observing aligned read pairs with a wide range of properties. Subsequently, these distributions can be used to efficiently determine the most likely genotype for any set of aligned read pairs observed in a sequenced genome. In addition, we use these distributions to compute a genotyping difficulty for a given variant, which predicts the amount of data needed to achieve a reliable call. Careful evaluation confirms that our approach outperforms other genotypers by making reliable genotype predictions across both simulated and real data. On up to 7829 human genomes, we achieve high concordance with population-genetic assumptions and expected inheritance patterns. On simulated data, we show that precision correlates well with our prediction of genotyping difficulty. This together with low memory and time requirements makes our approach well-suited for application in biomedical studies involving small to very large numbers of short-read sequenced genomes. Source code is available at https://github.com/kehrlab/Complex-SV-Genotyping.

Strategies to Overcome Antimicrobial Resistance in Nosocomial Infections, A Review and Update.

Nosocomial infections, also known as healthcare-associated infections, are a significant global concern due to their strong association with high mortality and morbidity in both developed and developing countries. These infections are caused by a variety of pathogens, particularly the ESKAPE group of bacteria, which includes the six pathogens Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. These bacteria have demonstrated noteworthy resistance to different antibiotics. Antimicrobial resistance mechanisms can manifest in various forms, including restricting drug uptake, modifying drug targets, inactivating drugs, active drug efflux, and biofilm formation. Accordingly, various strategies have been developed to combat antibiotic-resistant bacteria. These strategies encompass the development of new antibiotics, the utilization of bacteriophages that specifically target these bacteria, antimicrobial combination therapy and the use of peptides or enzymes that target the genomes or essential proteins of resistant bacteria. Among promising approaches to overcome antibiotic resistance, the CRISPR/Cas system stands out and offers many advantages. This system enables precise and efficient editing of genetic material at specific locations in the genome. Functioning as a bacterial "adaptive immune system," the CRISPR/Cas system recognizes, degrades, and remembers foreign DNA sequences through the use of spacer DNA segments that are transcribed into CRISPR RNAs (crRNA). This paper has focused on nosocomial infections, specifically the pathogens involved in hospital infections, the mechanisms underlying bacterial resistance, and the strategies currently employed to address this issue. Special emphasis has been placed on the application of CRISPR/Cas technology for overcoming antimicrobial resistance.