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Results for “genome streamlining”

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PubMed2001

The use of animal models in expression pharmacogenomic analyses.

Expression pharmacogenomics applies genome/proteome scale differential expression technologies to both in vivo and in vitro models of drug response to identify candidate markers correlative with and predictive of drug toxicity and efficacy. It is anticipated to streamline drug development by triaging towards lead compounds and clinical candidates that maximize efficacy while minimizing safety risks. As the majority of expression pharmacogenomics will be performed on preclinical therapeutic candidates, compatibility with favored preclinical animal model systems will be essential. This review will address expression pharmacogenomics in the context of those animal model systems commonly used for pharmacokinetic, pharmacodynamic and toxicologic analyses. Specific discussions will cover: (A) relative robustness of genomic and proteomic technology platforms used to generate drug response data in critical model systems; (B) animal handling, treatment and other experimental design optimizations; (C) data analysis strategies for extracting and validating candidate pharmacogenomic markers; and (D) overarching limitations in applying expression pharmacogenomics to animal model systems.

Animals↗
PubMed1997

Integrating genetic approaches into the discovery of anticancer drugs.

The discovery of anticancer drugs is now driven by the numerous molecular alterations identified in tumor cells over the past decade. To exploit these alterations, it is necessary to understand how they define a molecular context that allows increased sensitivity to particular compounds. Traditional genetic approaches together with the new wealth of genomic information for both human and model organisms open up strategies by which drugs can be profiled for their ability to selectively kill cells in a molecular context that matches those found in tumors. Similarly, it may be possible to identify and validate new targets for drugs that would selectively kill tumor cells with a particular molecular context. This article outlines some of the ways that yeast genetics can be used to streamline anticancer drug discovery.

Animals↗
PubMed2026

Artificial intelligence in molecular diagnostics for pandemic preparedness.

INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids are indispensable tools for early pathogen identification, transmission monitoring, and genomic surveillance during pandemics. Recent technological advances have broadened the diagnostic landscape, incorporating PCR-based methods, isothermal amplification, high-CRISPR-based amplification detection, and sequencing. Despite their diagnostic potential, widespread implementation remains limited by high validation costs, time and logistical constraints, the need for specialized professional knowledge, and a lack of adaptability in resource-limited settings. Artificial intelligence (AI) is increasingly recognized as a promising but challenging approach, offering tools that streamline assay development, automate data interpretation, and optimize real-time diagnostic performance. AREAS COVERED: This review introduces recently published AI tools with potential to enhance the in-silico design validation process of oligonucleotides for molecular assays. These cover tools for initial assay design and optimization to validation and continuous assay updates. The limitations, including concerns regarding data accuracy, the lack of transparency in data processing ('black box' models), and unresolved licensing and regulatory issues, are highlighted for each tool and as expert opinion. EXPERT OPINION: Collectively, these challenges currently confine most AI-based approaches to research settings and prevent their routine implementation in clinical molecular diagnostics. Their widespread adoption depends on addressing remaining technical, regulatory, and practical challenges.

Humans↗
PubMed2000

Annotating sequence data using Genotator.

In this postgenomic era, it is no longer necessary to argue the need for automated methods for sequence annotation. Many researchers have designed tools for analyzing DNA sequences, but running multiple tools and interpreting the results can be tedious and confusing. In the last few years, many analysis workbenches have been developed to help streamline the process of sequence annotation. Genotator, developed in 1996, is still a popular choice owing to its ease of use and its configurability. This article will review annotating sequence data using the Genotator.

Amino Acid Sequence↗
PubMed2005

A streamlined approach to high-throughput proteomics.

Proteomics has rapidly become an important tool for life science research, allowing the integrated analysis of global protein expression from a single experiment. To accommodate the complexity and dynamic nature of any proteome, researchers must use a combination of disparate protein biochemistry techniques, often a highly involved and time-consuming process. Whilst highly sophisticated, individual technologies for each step in studying a proteome are available, true high-throughput proteomics that provides a high degree of reproducibility and sensitivity has been difficult to achieve. The development of high-throughput proteomic platforms, encompassing all aspects of proteome analysis and integrated with genomics and bioinformatics technology, therefore represents a crucial step for the advancement of proteomics research. ProteomIQ (Proteome Systems) is the first fully integrated, start-to-finish proteomics platform to enter the market. Sample preparation and tracking, centralized data acquisition and instrument control, and direct interfacing with genomics and bioinformatics databases are combined into a single suite of integrated hardware and software tools, facilitating high reproducibility and rapid turnaround times. This review will highlight some features of ProteomIQ, with particular emphasis on the analysis of proteins separated by 2D polyacrylamide gel electrophoresis.

Automation↗
PubMed2003

Efficient high-throughput resequencing of genomic DNA.

Targeted resequencing of genomic DNA from organisms such as humans is an important tool enabling experimental access to variation within the species and between similar species. Taking full advantage of the reference genome sequences in designing robust, specific PCR assays and using stringent conditions, resequencing can be done efficiently without purification of the PCR product. By using a 10-fold greater amount of one primer when setting up the PCR initially in a new version of asymmetric PCR, one simply adds the rest of the sequencing reagents at the end of PCR and allows the sequencing reaction to proceed, with the excess PCR primer serving as the sequencing primer. We demonstrated that this streamlined protocol can be used with PCR products up to 1300 bp and had up to a 97% success rate in high-throughput analysis of allele frequencies for >30,000 single-nucleotide polymorphisms (SNPs). SNP primers and characterization results are provided at http://snp.wustl.edu.

Alleles↗
PubMed2025

CNV-Finder: Streamlining Copy Number Variation Discovery.

Copy Number Variations (CNVs) play pivotal roles in the etiology of complex diseases and are variable across diverse populations. Understanding the association between CNVs and disease susceptibility is significant in disease genetics research and often requires analysis of large sample sizes. One of the most cost-effective and scalable methods for detecting CNVs is based on normalized signal intensity values, such as Log R Ratio (LRR) and B Allele Frequency (BAF), from Illumina genotyping arrays. In this study, we present CNV-Finder, a novel pipeline integrating deep learning techniques on array data, specifically a Long Short-Term Memory (LSTM) network, to expedite the large-scale identification of CNVs within predefined genomic regions. This facilitates efficient prioritization of samples for time-consuming or costly subsequent analyses such as Multiplex Ligation-dependent Probe Amplification (MLPA), short-read, and long-read whole genome sequencing. We incorporate four genes to establish our methods-Parkin (PRKN), Leucine Rich Repeat And Ig Domain Containing 2 (LINGO2), Microtubule Associated Protein Tau (MAPT), and alpha-Synuclein (SNCA)-which may be relevant to neurological diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Progressive Supranuclear Palsy (PSP), or related disorders such as essential tremor (ET). By training our models on expert-annotated samples and validating them across diverse cohorts, including those from the Global Parkinson's Genetics Program (GP2) and additional dementia-specific databases, we demonstrate the efficacy of CNV-Finder in accurately detecting deletions and duplications. Our pipeline outputs app-compatible files for visualization within CNV-Finder's interactive web application. This interface enables researchers to review predictions and filter displayed samples by model prediction values, LRR range, and variant count in order to explore or confirm results. Our pipeline integrates this human feedback to enhance model performance and reduce false positive rates. Through a series of comprehensive analyses and validations using visual inspection, MLPA, short-read, and long-read sequencing data, we demonstrate the robustness and adaptability of CNV-Finder in identifying CNVs with regions of varied size, probe density, and noise. Our findings highlight the significance of contextual understanding and human expertise in enhancing the precision of CNV identification, particularly in complex genomic regions like 17q21.31. The CNV-Finder pipeline is a scalable, publicly available resource for the scientific community, available on GitHub (https://github.com/GP2code/CNV-Finder; DOI 10.5281/zenodo.14182563). CNV-Finder not only expedites accurate candidate identification but also significantly reduces the manual workload for researchers, enabling future targeted validation and downstream analyses in regions or phenotypes of interest.

Copy Number Variation (CNV)↗
PubMed2002

Sensitivity of multiplex real-time PCR reactions, using the LightCycler and the ABI PRISM 7700 Sequence Detection System, is dependent on the concentration of the DNA polymerase.

The introduction of multiplex PCR techniques to clinical laboratories has provided a means to streamline assays and to produce multiple results with minimal effort. While this methodology is very beneficial, care must be taken to ensure that reactions are properly optimized to allow for maximum sensitivity. This study was conducted to determine whether the sensitivity of multiplex-real-time PCR assays could be improved by increasing the concentration of DNA polymerase within a reaction. Multiplex reactions were designed to simultaneously detect the human HLA-DQ gene and a sequence from the UL83 region of the CMV genome. Two real-time PCR systems, one utilizing AmpliTaq Gold DNA polymerase and the ABI 7700 Sequence Detection System, and one utilizing FastStart Taq DNA polymerase and the Roche LightCycler were tested. The results indicated that increasing the AmpliTaq Gold concentration from 0.050 to 0.10 U/microl and the FastStart Taq concentration from 0.1875 to 0.375 U/microl increased detection sensitivity from 5,000 to 50 CMV copies per PCR reaction. In separate experiments, commercially prepared mastermixes were utilized for both real-time PCR platforms as per the manufacturer's suggestions or with the addition of supplemental DNA polymerase. In assays designed to detect 4 CMV genome copies per reaction, the addition of 2.5 U of AmpliTaq Gold to TaqMan Universal Mastermix increased the detection rate from 21 to 67%, and the addition of 5 U of FastStart Taq to FastStart DNA Master Hybridization Probes mastermix increased the detection rate from 17 to 56%. These results indicate that increasing the DNA polymerase concentration in multiplex real-time PCR reactions may be a simple way to optimize assay sensitivity.

Cytomegalovirus↗
PubMed2026

Tandem duplication-driven expansion and UV-B stress adaptation of the LHC gene family in Artemisia annua L.

BACKGROUND: Artemisia annua L., is the primary natural source of the antimalarial drug artemisinin. In nature, fluctuating light is a major environmental stress that affects plant growth and artemisinin biosynthesis. Although the light-harvesting chlorophyll a/b-binding (LHC) superfamily plays a key role in mediating plant responses to fluctuating light, systematic research of this gene family in A. annua has not yet been conducted, limiting our understanding of light adaptation in this medicinally important species. RESULTS: This study investigated the evolutionary dynamics and functional adaptation of the light-harvesting chlorophyll a/b-binding (LHC) superfamily in A. annua, with a focus on the early light‑induced protein (ELIP) subfamily. Comparative genomics of 24 plant species showed that the LHC superfamily recently expanded in the examined Asteraceae lineages through duplication events. In A. annua, 229 LHC genes identified from four haplotype genomes comprised 205 allelic and 24 haplotype-specific loci, with the ELIP subfamily expanding significantly via tandem duplication. Notably, compared to non-Asteraceae plants, ELIPs exhibited a uniform single-exon architecture, indicating it is a genomic feature unique to Asteraceae plants. Population genomics of 41 individuals showed dynamic copy number variations ranging from 1 to 4 copies per locus. Interestingly, a structurally disrupted ELIP allele remained transcriptionally active and produced long aberrant transcripts, showing that this subfamily is still actively evolving. Under UV-B stress, AaELIP loci showed synchronized induction trend but differed in expression levels, suggesting a division into major and auxiliary roles within the expanded tandem cluster. Overall, while the response of ELIPs to light stress is evolutionarily conserved, this dramatic expansion and structural streamlining of AaELIPs may represent a key evolutionary adaptation that enhances the plant's ability to cope with intense light and radiation stress. CONCLUSIONS: Collectively, this study demonstrates a significant expansion of the LHC superfamily in A. annua, especially within the ELIP subfamily, as well as its robust response to UV-B treatment, underscoring the essential role of ELIPs in mediating light stress responses. These findings provide a valuable foundation for future research to uncover the molecular mechanisms underlying A. annua's adaptation to complex light environments.

Artemisia annua↗
PubMed2006

Conserved fungal genes as potential targets for broad-spectrum antifungal drug discovery.

The discovery of novel classes of antifungal drugs depends to a certain extent on the identification of new, unexplored targets that are essential for growth of fungal pathogens. Likewise, the broad-spectrum capacity of future antifungals requires the target gene(s) to be conserved among key fungal pathogens. Using a genome comparison (or concordance) tool, we identified 240 conserved genes as candidates for potential antifungal targets in 10 fungal genomes. To facilitate the identification of essential genes in Candida albicans, we developed a repressible C. albicans MET3 (CaMET3) promoter system capable of evaluating gene essentiality on a genome-wide scale. The CaMET3 promoter was found to be highly amenable to controlled gene expression, a prerequisite for use in target-based whole-cell screening. When the expression of the known antifungal target C. albicans ERG1 was reduced via down-regulation of the CaMET3 promoter, the CaERG1 conditional mutant strain became hypersensitive, specifically to its inhibitor, terbinafine. Furthermore, parallel screening against a small compound library using the CaERG1 conditional mutant under normal and repressed conditions uncovered several hypersensitive compound hits. This work therefore demonstrates a streamlined process for proceeding from selection and validation of candidate antifungal targets to screening for specific inhibitors.

Antifungal Agents↗
PubMed2004

Multiplexed RT-PCR for streamlined detection and separation of barley and cereal yellow dwarf viruses.

Two novel multiplexed RT-PCR assays that can efficiently detect and distinguish among different barley and cereal yellow dwarf viruses (B/CYDVs) are described. The basic multiplex can produce two fragments simultaneously, a approximately 830-bp fragment indicating the presence of the BYDV-PAV, BYDV-MAV, or BYDV-SGV viruses and a approximately 372-bp fragment indicating the presence of the CYDV-RPV, BYDV-RMV, or BYDV-GPV viruses. The enhanced multiplex produces two additional fragments, which further differentiate between BYDV-PAV, BYDV-MAV, and BYDV-SGV. These assays fulfill the critical need for a streamlined diagnostic procedure for B/CYDVs that can be cost-effectively applied to large numbers of small samples. The assays are useful not only in the basic diagnosis of B/CYDVs, but also for studies examining the ecological roles of B/CYDVs in natural systems and for longer-term epidemiological studies of grasses and cereals.

DNA, Complementary↗
PubMed2004

Gene transfer in the evolution of parasite nucleotide biosynthesis.

Nucleotide metabolic pathways provide numerous successful targets for antiparasitic chemotherapy, but the human pathogen Cryptosporidium parvum thus far has proved extraordinarily refractory to classical treatments. Given the importance of this protist as an opportunistic pathogen afflicting immunosuppressed individuals, effective treatments are urgently needed. The genome sequence of C. parvum is approaching completion, and we have used this resource to critically assess nucleotide biosynthesis as a target in C. parvum. Genomic analysis indicates that this parasite is entirely dependent on salvage from the host for its purines and pyrimidines. Metabolic pathway reconstruction and experimental validation in the laboratory further suggest that the loss of pyrimidine de novo synthesis is compensated for by possession of three salvage enzymes. Two of these, uridine kinase-uracil phosphoribosyltransferase and thymidine kinase, are unique to C. parvum within the phylum Apicomplexa. Phylogenetic analysis suggests horizontal gene transfer of thymidine kinase from a proteobacterium. We further show that the purine metabolism in C. parvum follows a highly streamlined pathway. Salvage of adenosine provides C. parvum's sole source of purines. This renders the parasite susceptible to inhibition of inosine monophosphate dehydrogenase, the rate-limiting enzyme in the multistep conversion of AMP to GMP. The inosine 5' monophosphate dehydrogenase inhibitors ribavirin and mycophenolic acid, which are already in clinical use, show pronounced anticryptosporidial activity. Taken together, these data help to explain why widely used drugs fail in the treatment of cryptosporidiosis and suggest more promising targets.

Adenosine↗
PubMed2026

Evaluation of 3D Spheroids for AAV Transduction Studies.

Adeno-associated viruses (AAVs) are potent vectors used for gene delivery in gene therapy products. Their development requires in vitro systems that can reliably detect differences in vector design, serotype performance, regulatory element strength, and expression kinetics. These systems must also support applications such as potency assessment and vector optimization. Here, we describe a streamlined three-dimensional spheroid platform optimized for evaluating AAV potency, transgene expression kinetics, and serotype-specific transduction efficacy across diverse cell lines. Uniform spheroids are generated using ultra-low attachment plates and maintained under conditions that support stable architecture and long-term imaging. Following AAV transduction, fluorescent or luminescent readouts are monitored in real time using live-cell imaging systems. This enables quantitative assessment of reporter signal, dose responsiveness, regulatory element activity, and onset time through continuous kinetic imaging. The platform effectively discriminates between potent and weak vector genome designs and among multiple AAV serotypes. This method demonstrates robust performance across both slowly and rapidly dividing cell lines. These results establish its utility as a scalable and physiologically relevant system for preclinical gene therapy evaluation and development.

Dependovirus↗
PubMed2025

Discovery of functional factorless internal ribosome entry site-like structures through virome mining.

All viruses must co-opt the host translational machinery for viral protein synthesis. The dicistrovirus intergenic region internal ribosome entry site (IGR-IRES) utilizes the most streamlined translation mechanism by adopting a triple pseudoknot structure that directly recruits and binds within the intersubunit space of the ribosome and initiates translation from a non-AUG codon. The origin of this unprecedented mechanism is not known. Using a bioinformatics pipeline to examine the diversity and function of IRESs across RNA viromes, we searched for IRES-like RNA structures using RNA covariance models for multiple IRES sub-types, and tested functional IRES by using a dual-fluorescent lentiviral library reporter screen. We identified over >4,700 dicistro-like genomes with ~32% containing putative IRES structures, including novel viral genome arrangements with multiple IRESs and IRESs embedded within open-reading frames (ORFs). Predicted IRESs bound directly to purified ribosomes and supported internal ribosome entry activity in vitro and in vivo. Moreover, internal IRESs embedded within an ORF of monocistronic genomes were functional and operated simultaneously to produce the downstream ORF. We also identified IRES-like structures within non-dicistrovirus viral genomes, including in the families Tombusviridae and Narnaviridae that bound to ribosomes directly and a subset can direct internal ribosome entry. This study provides a framework to map the origin of factorless IRES mechanisms and study the diverse viral strategies utilizing RNA-based mechanisms.

Internal Ribosome Entry Sites↗
PubMed2026

SpliceHarmonization: an integrated method for identifying RNA splicing events in therapeutics for splicing modulation.

MOTIVATION: Splicing, a critical co-transcriptional process in eukaryotes, enhances transcriptome diversity by generating isoforms specific to cell types, tissues, or developmental stages. Recent advancements in splicing modulators have opened new avenues for targeting previously undruggable genes by inducing significant perturbations in splicing events. These developments underscore the need for comprehensive methods to accurately identify and compare splicing events. While several tools have been developed to detect local splice variants, inconsistencies across methods remain a significant challenge. To address this, we present SpliceHarmonization, an integrated approach that combines the strengths of rMATS, LeafCutter, and MAJIQ, enabling robust and reliable splicing analysis with event type annotations. RESULTS: In a comprehensive evaluation using diverse simulated datasets, SpliceHarmonization streamlined and standardized the outputs from three detection methods into a unified format, thereby improving splicing detection with event type annotation and outperforming individual methods. By integrating the outputs from rMATS, LeafCutter, and MAJIQ, our approach not only enhanced identification of a wide range of splicing events but also effectively mitigated method-specific discrepancies. This integration led to an accuracy exceeding 0.8 and a recall of up to 0.5, with an observed increase in AUC of up to 10%. Furthermore, SpliceHarmonization demonstrated high sensitivity in detecting low-abundance and complex splicing events, providing annotations including genomic coordinates and event type. AVAILABILITY AND IMPLEMENTATION: SpliceHarmonization is available at https://github.com/interactivereport/SpliceHarmonization.

RNA Splicing↗
PubMed2006

Simultaneous high-throughput recombinational cloning of open reading frames in closed and open configurations.

Comprehensive open reading frame (ORF) clone collections, ORFeomes, are key components of functional genomics projects. When recombinational cloning systems are used to capture ORFs in master clones, these DNA sequences can be easily transferred into a variety of expression plasmids, each designed for a specific assay. Depending on downstream applications, an ORF is cloned either with or without a stop codon at its original position, referred to as closed or open configuration, respectively. The former is preferred when the encoded protein is produced in its native form or with an amino-terminal tag; the latter is obligatory when the protein is produced as a fusion with a carboxyl-terminal tag. We developed a streamlined protocol for high-throughput, simultaneous cloning of both open and closed ORF entry clones with the Gateway recombinational cloning system. The protocol is straightforward to set up in large-scale ORF cloning projects, and is cost-effective, because the initial ORF amplification and the cloning in a pDONR vector are performed only once to obtain the two ORF configurations. We illustrated its implementation for the isolation and validation of 346 Arabidopsis ORF entry clones.

Arabidopsis↗
PubMed2006

A polymerase chain reaction-mediated yeast artificial chromosome-splitting technology for generating targeted yeast artificial chromosomes subclones.

The yeast artificial chromosomes (YAC) system makes it possible not only to clone large DNA fragments but also to simplify the physical mapping and functional analysis of chromosomes and genomes through YAC manipulation. To manipulate large DNA fragments cloned into YACs, YAC fragmentation has been developed and also a new method called the YAC-splitting method was developed recently. Although the YAC fragmentation method can be used to delete DNA from one side of a YAC, the YAC-splitting method generates two smaller YACs, both of which are transmitted to daughter cells during mitotic growth. This chapter describes the YAC-splitting method improved by incorporating polymerase chain reaction-mediated chromosome splitting (PCS) technique and by adding yeast autonomously replicating sequence (ARS) to the system. The PCS method combines a streamlined procedure (two-step PCR and one transformation per splitting event) with the Cre/loxP system for marker rescue. The improved YAC-splitting method can convert a targeted region of a eukaryotic chromosome within a YAC into a new replicating YAC.

Chromosomes, Artificial, Yeast↗
PubMed2005

Structural proteomics in drug discovery.

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.

Animals↗