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PubMed2025

Construction and accuracy assessment of an efferocytosis-related prognostic model for ovarian cancer: A diagnostic accuracy study.

The study aimed to investigate the prognostic significance of efferocytosis-related genes in ovarian cancer (OC) with regard to cancer development, progression, invasion, and metastasis. OC cohorts were assembled from bioinformatics repositories. Utilizing consensus clustering analysis, distinct clusters were delineated based on the intersection of OC-related genes and efferocytosis-related genes. A prognostic signature specific to efferocytosis in OC was developed using data from The Cancer Genome Atlas, validated against the gene expression omnibus database, and subjected to independent prognostic analysis. Subsequently, a nomogram model was formulated. Moreover, investigations encompassed the immune microenvironment, immunotherapy, mutation profiling, drug sensitivity assessments, drug prediction models, and molecular docking analyses. Finally, quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays were employed to ascertain the mRNA expression levels of key genes. Five key genes, FCGBP, BTN3A3, WDR91, SLC25A45, and BTNL3, were identified as significantly associated with OC. Both datasets and qRT-PCR demonstrated elevated expression levels of FCGBP and WDR91 in OC. Notably, AFLATOXIN B1 exhibited strong binding affinity to SLC25A45, ciclopirox to BTN3A3, and irinotecan to WDR91. The risk score, age, and stage were identified as independent prognostic factors, with the nomogram displaying efficacy in predicting OC patient survival. Variations in the immune cell infiltration profiles, including naive B cells, and expression levels of 6 immune checkpoint genes, such as CTLA4, were notable. High tumor mutation burden scores were associated with improved survival outcomes. Additionally, significant differences in the IC50 values of 123 anticancer drugs were observed between the 2 risk groups. This findings of this study highlight the efficacy of the efferocytosis-associated risk model in predicting the survival outcomes of OC patients, thus providing a novel reference for prognostic prediction in OC patients.

Humans↗

PubMed2024

Comparative analysis of chloroplast genomes in ten holly (Ilex) species: insights into phylogenetics and genome evolution.

In order to clarify the chloroplast genomes and structural features of ten Ilex species and provide insights into the phylogeny and genome evolution of the genus Ilex, we conducted a comparative analysis of chloroplast genomes using bioinformatics methods. The chloroplast genomes of ten Ilex species were obtained, and their structural features and variations were compared. The results indicated that all chloroplast genomes in the genus Ilex exhibit a double-stranded circular structure, with sizes ranging from 157,356 to 158,018 bp, showing minimal differences in size. The chloroplast genomes of the ten Ilex species have a relatively conservative gene count, with a total of 134 to 135 genes, including 88 or 89 protein-coding genes, and a conserved number of 8 rRNA genes. Each chloroplast genome contains 3 to 123 SSR (Simple Sequence Repeat) sites, predominantly composed of mononucleotide and trinucleotide repeats, with no detection of pentanucleotide or hexanucleotide repeats. The variation in dispersed repeat sequences among Ilex species is minimal, with a total repeat sequence number ranging from 1 to 14, concentrated in the length range of 30 to 42 base pairs. The expansion and contraction of chloroplast genome boundaries among Ilex species are relatively stable, with only minor variations observed in individual species. Variations in non-coding regions are more pronounced than those in coding regions, with the variability in the Large Single Copy region (LSC) being the highest, while the variability in the Inverted Repeat region A (IRa) is the lowest. The divergence time among Ilex species was estimated using the MCMC-tree module, revealing the evolutionary relationships among these species, their common ancestors, and their differentiation throughout the evolutionary process. The research findings provide a valuable reference for the systematic study and molecular marker development of Ilex plants.

Genome, Chloroplast↗

PubMed2026

A reinforcement learning-enhanced fuzzy multi-objective equilibrium optimization framework for multiple sequence alignment.

Multiple sequence alignment (MSA) is a fundamental task in bioinformatics, underpinning comparative genomics, structural analysis, and evolutionary inference. However, MSA remains a challenging multi-objective optimization problem due to the need to simultaneously maximize alignment accuracy, preserve conserved regions, and control gap proliferation, particularly in large and heterogeneous sequence collections. In this work, we propose MOFSACEO-MSA, a novel hybrid optimization framework for multiple sequence alignment that integrates a fuzzy multi-objective evaluation scheme with the Equilibrium Optimizer (EO) and a Soft Actor-Critic (SAC)-based adaptive control mechanism. The proposed framework formulates MSA as a dynamic multi-objective optimization problem, in which alignment quality is assessed using complementary residue-level and column-level criteria, including Sum-of-Pairs score, column conservation, entropy, and gap statistics. Fuzzy membership functions are employed to harmonize competing objectives into a unified optimization landscape, while EO provides robust global exploration. To further enhance adaptability, SAC dynamically regulates key EO parameters during the search process, enabling an effective balance between exploration and exploitation across datasets of varying size and heterogeneity. Extensive experiments werew conducted on diverse biological sequence datasets, with a primary focus on RNA benchmarks, including structured families from Rfam, large-scale repositories from RNAcentral and GenBank, and organism-specific tRNA datasets from GtRNAdb. Comparative evaluations against classical alignment tools (ClustalW, MAFFT, MUSCLE, PRANK, KAlign, and T-Coffee), metaheuristic methods (SAGA, Sequoya and EAFSA), and a reinforcement learning-based approach (RLALIGN) demonstrate that MOFSACEO-MSA consistently achieves competitive or superior Sum-of-Pairs scores while significantly reducing gap proportions and maintaining compact alignment lengths. Notably, the proposed framework exhibits improved robustness on large and highly heterogeneous datasets, where existing methods often suffer from excessive gap insertion or unstable convergence. Overall, MOFSACEO-MSA provides a flexible and extensible optimization paradigm that effectively bridges evolutionary search and reinforcement learning for high-quality multiple sequence alignment, with demonstrated effectiveness on challenging RNA alignment tasks.

Sequence Alignment↗

PubMed2000

A library-based bioinformatics services program.

Support for molecular biology researchers has been limited to traditional library resources and services in most academic health sciences libraries. The University of Washington Health Sciences Libraries have been providing specialized services to this user community since 1995. The library recruited a Ph.D. biologist to assess the molecular biological information needs of researchers and design strategies to enhance library resources and services. A survey of laboratory research groups identified areas of greatest need and led to the development of a three-pronged program: consultation, education, and resource development. Outcomes of this program include bioinformatics consultation services, library-based and graduate level courses, networking of sequence analysis tools, and a biological research Web site. Bioinformatics clients are drawn from diverse departments and include clinical researchers in need of tools that are not readily available outside of basic sciences laboratories. Evaluation and usage statistics indicate that researchers, regardless of departmental affiliation or position, require support to access molecular biology and genetics resources. Centralizing such services in the library is a natural synergy of interests and enhances the provision of traditional library resources. Successful implementation of a library-based bioinformatics program requires both subject-specific and library and information technology expertise.

Computational Biology↗

PubMed2002

Identification of distinct protein expression patterns in bilateral matched pair breast ductal fluid specimens from women with unilateral invasive breast carcinoma. High-throughput biomarker discovery.

BACKGROUND: Analysis of the biochemical and cellular contents of breast ductal fluid has recently gained attention as a potential noninvasive method for studying the local microenvironment associated with the development and progression of breast carcinoma. METHODS: Patients with unilateral primary invasive breast carcinoma were eligible for the current prospective pilot study. Nipple aspiration fluid (NAF) was obtained from the breast with cancer and the normal contralateral breast and subjected to two-dimensional electrophoresis. Computer-assisted image analysis was used to analyze NAF protein expression profiles. RESULTS: The number of separate protein spots detected in NAF samples ranged from 1280 to 1649. Substantial qualitative differences were identified between NAF protein expression patterns in the breast with cancer compared with the breast without cancer. Protein spots detected in the breast with cancer and not in the breast without cancer from the same patient varied from 30 to 202 different proteins. In addition, the number of protein spots detected in the breast without cancer and not in the breast with cancer of the same patient varied from 14 to 73 different proteins. Conversely, in an individual without breast carcinoma, only three protein spots were detected in the left breast but not the right breast, and only two were detected in the right breast but not the left breast. CONCLUSIONS: The breast is a unique organ in that its microenvironment can be readily accessed and evaluated by aspiration of fluid from the nipple. Breast ductal fluid contains a large number of proteins. As breasts are paired organs, comparisons of ductal fluid from a breast with cancer and the same patient's normal contralateral breast may reveal significant differences in protein expression associated with breast carcinoma. Recent advances in image analysis, automated mass spectrometry, and bioinformatics have provided the tools necessary to use ductal fluids from breast carcinoma patients for high-throughput biomarker discovery.

Biomarkers, Tumor↗

PubMed2006

Proteome informatics I: bioinformatics tools for processing experimental data.

Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results.

Algorithms↗

PubMed2005

Implications of structural genomics target selection strategies: Pfam5000, whole genome, and random approaches.

Structural genomics is an international effort to determine the three-dimensional shapes of all important biological macromolecules, with a primary focus on proteins. Target proteins should be selected according to a strategy that is medically and biologically relevant, of good value, and tractable. As an option to consider, we present the "Pfam5000" strategy, which involves selecting the 5000 most important families from the Pfam database as sources for targets. We compare the Pfam5000 strategy to several other proposed strategies that would require similar numbers of targets. These strategies include complete solution of several small to moderately sized bacterial proteomes, partial coverage of the human proteome, and random selection of approximately 5000 targets from sequenced genomes. We measure the impact that successful implementation of these strategies would have upon structural interpretation of the proteins in Swiss-Prot, TrEMBL, and 131 complete proteomes (including 10 of eukaryotes) from the Proteome Analysis database at the European Bioinformatics Institute (EBI). Solving the structures of proteins from the 5000 largest Pfam families would allow accurate fold assignment for approximately 68% of all prokaryotic proteins (covering 59% of residues) and 61% of eukaryotic proteins (40% of residues). More fine-grained coverage that would allow accurate modeling of these proteins would require an order of magnitude more targets. The Pfam5000 strategy may be modified in several ways, for example, to focus on larger families, bacterial sequences, or eukaryotic sequences; as long as secondary consideration is given to large families within Pfam, coverage results vary only slightly. In contrast, focusing structural genomics on a single tractable genome would have only a limited impact in structural knowledge of other proteomes: A significant fraction (about 30-40% of the proteins and 40-60% of the residues) of each proteome is classified in small families, which may have little overlap with other species of interest. Random selection of targets from one or more genomes is similar to the Pfam5000 strategy in that proteins from larger families are more likely to be chosen, but substantial effort would be spent on small families.

Animals↗

PubMed2002

Biomarkers of human skin cells identified using DermArray DNA arrays and new bioinformatics methods.

Biomarker genes of human skin-derived cells were identified by new simple bioinformatic methods and DNA microarray analysis utilizing in vitro cultures of normal neonatal human epidermal keratinocytes, melanocytes, and dermal fibroblasts. A survey of 4405 human cDNAs was performed using DermArray DNA microarrays. Biomarkers were rank ordered by "likelihood ratio" algorithms and stringent selection criteria that have general applicability for analyzing a minimum of three RNA samples. Signature biomarker genes (up-regulated in one cell type) and anti-signature biomarker genes (down-regulated in one cell type) were determined for the three major skin cell types. Many of the signature genes are known biomarkers for these cell types. In addition, 17 signature genes were identified as ESTs, and 22 anti-signature biomarkers were discovered. Quantitative RT-PCR was used to verify nine signature biomarker genes. A total of 158 biomarkers of normal human skin cells were identified, many of which may be valuable in diagnostic applications and as molecular targets for drug discovery and therapeutic intervention.

Algorithms↗

PubMed2004

The fugitive LTR retrotransposon from the genome of the human blood fluke, Schistosoma mansoni.

Inspection of the nucleotide sequence of bacterial artificial chromosome number 49_J_14 [Le Paslier, M.C., Pierce, R.J., Merlin, F., Hirai, H., Wu, W., Williams, D.L., Johnston, D., LoVerde, P.T., Le Paslier, D., 2000. Construction and characterization of a Schistosoma mansoni bacterial artificial chromosome library. Genomics 65, 87-94] from chromosome 1 of the genome of Schistosoma mansoni (GenBank ) revealed the likely presence of a proviral form of a novel schistosome retrotransposon. The novel element, which we named the fugitive, belonged to the mag-like family of the gypsy-Ty3 clade of long terminal repeat retrotransposons. It was closely related to the mag-like retrotransposon Gulliver from Schistosoma japonicum, but was dissimilar to several other long terminal repeat retrotransposons known from S. mansoni including Boudicca, Saci-1, Saci-2 and Saci-3. The full length fugitive element was 4811 bp constituted of a single read-through open reading frame of 4134 bp flanked at both ends by identical long terminal repeat sequences of 273 bp. The open reading frame encoded retroviral-like gag, with a distinctive double Cys-His motif, and pol polyprotein, with a pol domain order of protease, reverse transcriptase, RNaseH and integrase. Examination of schistosome transcriptome sequences in the public domain revealed that the fugitive was transcribed in at least six developmental stages of S. mansoni, while bioinformatics approaches and Southern hybridisation analysis indicated that as many as 2000 copies of the fugitive were interspersed throughout the schistosome genome.

Amino Acid Sequence↗

PubMed2005

Parasite genomes.

The availability of genome sequences and the associated transcriptome and proteome mapping projects has revolutionised research in the field of parasitology. As more parasite species are sequenced, comparative and phylogenetic comparisons are improving the quality of gene prediction and annotation. Genome sequences of parasites are also providing important data sets for understanding parasite biology and identifying new vaccine candidates and drug targets. We review some of the preliminary conclusions from examination of parasite genome sequences and discuss some of the bioinformatics approaches taken in this analysis.

Animals↗

PubMed2026

Whole mitogenome profile of Pelung and Sentul chickens to reveal potency of Indonesian livestock genetic resources.

Native chickens are essential genetic resources in Indonesia, providing economic, cultural, and nutritional value with strong adaptability to local environments. Among these native chickens, Sentul and Pelung are recognized as national genetic resources due to dual-purpose and ornamental traits, respectively, but their whole mitogenome characterization remains limited. Therefore, this study aimed to assemble and analyze the whole mitogenome of Sentul and Pelung chickens as well as perform a comparison with 35 additional genomes from domestic chickens and jungle fowls across Asia. The experiment was carried out using next-generation sequencing and bioinformatics-based genome assembly and analysis. The results showed that both Sentul and Pelung genomes were 16,784 bp in length and contained the typical mitochondrial gene composition, including 13 protein-coding genes (PCGs), 22 transfer ribonucleic acids (tRNAs), two ribosomal ribonucleic acids (rRNAs), and a control region (D-loop). Furthermore, comparative analysis identified five single-nucleotide polymorphisms (SNPs) distinguishing the two breeds, located in ND1, COX1, COX2, ND4, and the D-loop region. Phylogenetic reconstruction based on whole mitochondrial sequences showed that Sentul and Pelung chickens belong to haplogroup D, alongside other native breeds and red jungle fowls from Indonesia and the Philippines.

Genetic diversity↗

PubMed2006

A multiplexed proteomics approach to differentiate neurite outgrowth patterns.

We report here a method for proteomics pattern discovery by utilizing a self-organizing map approach to analyze data obtained from a novel multiplex iTRAQ proteomics method. Through the application of this technique, we were able to delineate the early molecular events preceding dorsal root ganglia neurite outgrowth induced by either nerve growth factor (NGF) or an immunophilin ligand, JNJ460. Following pattern analysis we discovered that each neurotrophic agent promoted mostly distinct increases in protein expression with few overlapping patterns. In the NGF-treated group, proteins possessing "biosynthesis function" (p < 0.002) and "ribosome localization" (p < 0.0003) were increased, while proteins promoting "organogenesis" (p < 0.004) and related "signal transduction" (p < 0.008) functions were notably increased in the JNJ460-treated group. This study suggests that the properties of neurite outgrowth triggered by NGF and JNJ460 can be distinguished at the proteome level. Multiplexed proteomics analysis, along with pattern discovery bioinformatics tools, has the capability to differentiate subtle neuroproteomics patterns.

Animals↗

PubMed2006

Gene profiling during development and after a peripheral nerve traumatism reveals genes specifically induced by injury in dorsal root ganglia.

In order to shed light on transcriptional networks involved in adult peripheral nerve repair program, we propose for the first time an organization of the transcriptional dynamics of the mouse dorsal root ganglia (DRG) following a sciatic nerve lesion. This was done by a non-hierarchical bioinformatical clustering of four Serial Analysis of Gene Expression libraries performed on DRG at embryonic day E13, neonatal day P0, adult and adult 3 days post-sciatic nerve section. Grouping genes according to their expression profiles shows that a combination of down-regulation of genes expressed at the adult stages, re-expression of embryonic genes and induction of a set of de novo genes takes place in injured neurons. Focusing on this latter event highlights Ddit3, Timm8b and Oazin as potential new injury-induced molecular actors involved in a stress response pathway. Their association with the traumatic state was confirmed by real-time PCR and in situ hybridization investigations. Clustering analysis allows us to distinguish developmental re-programming events from nerve-injury-induced processes and thus provides a basis for molecular understanding of transcriptional alterations taking place in the DRG after a sciatic nerve lesion.

Animals↗

PubMed2005

Design issues in toxicogenomics using DNA microarray experiment.

The methods of toxicogenomics might be classified into omics study (e.g., genomics, proteomics, and metabolomics) and population study focusing on risk assessment and gene-environment interaction. In omics study, microarray is the most popular approach. Genes falling into several categories (e.g., xenobiotics metabolism, cell cycle control, DNA repair etc.) can be selected up to 20,000 according to a priori hypothesis. The appropriate type of samples and species should be selected in advance. Multiple doses and varied exposure durations are suggested to identify those genes clearly linked to toxic response. Microarray experiments can be affected by numerous nuisance variables including experimental designs, sample extraction, type of scanners, etc. The number of slides might be determined from the magnitude and variance of expression change, false-positive rate, and desired power. Instead, pooling samples is an alternative. Online databases on chemicals with known exposure-disease outcomes and genetic information can aid the interpretation of the normalized results. Gene function can be inferred from microarray data analyzed by bioinformatics methods such as cluster analysis. The population study often adopts hospital-based or nested case-control design. Biases in subject selection and exposure assessment should be minimized, and confounding bias should also be controlled for in stratified or multiple regression analysis. Optimal sample sizes are dependent on the statistical test for gene-to-environment or gene-to-gene interaction. The design issues addressed in this mini-review are crucial in conducting toxicogenomics study. In addition, integrative approach of exposure assessment, epidemiology, and clinical trial is required.

Computational Biology↗

PubMed2006

Cloning and characterization of Bombyx mori PP-BP a gene induced by viral infection.

The ENF peptide family, so termed after the consensus sequence in their amino termini (Glu-Asn-Phe-), is assumed to play multiple important roles in defense reactions, growth regulation, and homeostasis of Lepidopteran insects. The paralytic peptide of Bombyx mori (BmPP) is one such peptide that is involved in the paralytic and plasmatocyte-spreading activities in the hemocyte immune reaction. The growth-blocking peptide of Pseudaletia separata (PsGBP), which is also a member of the ENF peptide family, has similar functions that can reportedly be attenuated by the growth-blocking peptide-binding protein (GBP-BP). Using the fluorescent differential display (FDD) technique, the differential expression pattern of genes in highly susceptible silkworm strain 306 were analyzed, following infection with B. mori nuclear polyhedrosis virus (BmNPV), and a differential band (G12(782)) was obtained from the hemolymph RNA pools. Using 5'-RACE with a specially designed primer based on the FDD study, a 1,401 bp cDNA clone was obtained containing a 1,311 bp open reading frame (ORF, GenBank accession number DQ306881). The deduced protein was highly homologous in primary structure to GBP-BP and was termed B. mori paralytic peptide-binding protein (PP-BP). The B. mori PP-BP gene is organized into two exons and only one intron, using bioinformatics searches.Using RT-PCR analysis, it was found that the B. mori PP-BP gene was expressed almost exclusively in the hemolymph. Real-time quantitative PCR analysis indicated that the B. mori PP-BP mRNA level in B. mori strain 306 exposed to BmNPV was much higher than that in B. mori strain without the virus infection. This result implies that the B. mori PP-BP is related to the cellular immune response after BmNPV invades the hemolymph.

Amino Acid Sequence↗

PubMed2001

A universal protein-protein interaction motif in the eubacterial DNA replication and repair systems.

The interaction between DNA polymerases and sliding clamp proteins confers processivity in DNA synthesis. This interaction is critical for most DNA replication machines from viruses and prokaryotes to higher eukaryotes. The clamp proteins also participate in a variety of dynamic and competing protein-protein interactions. However, clamp-protein binding sequences have not so far been identified in the eubacteria. Here we show from three lines of evidence, bioinformatics, yeast two-hybrid analysis, and inhibition of protein-protein interaction by modified peptides, that variants of a pentapeptide motif (consensus QL[SD]LF) are sufficient to enable interaction of a number of proteins with an archetypal eubacterial sliding clamp (the beta subunit of Escherichia coli DNA polymerase III holoenzyme). Representatives of this motif are present in most sequenced members of the eubacterial DnaE, PolC, PolB, DinB, and UmuC families of DNA polymerases and the MutS1 mismatch repair protein family. The component tripeptide DLF inhibits the binding of the alpha (DnaE) subunit of E. coli DNA polymerase III to beta at microM concentration, identifying key residues. Comparison of the eubacterial, eukaryotic, and archaeal sliding clamp binding motifs suggests that the basic interactions have been conserved across the evolutionary landscape.

Amino Acid Sequence↗

PubMed2006

The positive aspects of stress: strain initiates domain decondensation (SIDD).

The conventional string-based bioinformatic methods of genomic sequence analysis are often insufficient to identify DNA regulatory elements, since many of these do not have a recognizable motif. Even in case a sequence pattern is known to be associated with an element it may only partially mediate its function. This suggests that properties not correlated with the details of base sequence contribute to regulation. One of these attributes is the DNA strand-separation potential, known as SIDD (stress-induced duplex destabilization) which facilitates the access of tracking proteins and the formation of local secondary structures. Using the type 1 interferon gene cluster as a paradigm, we demonstrate that the imprints in a SIDD profile coincide with chromatin domain borders and with DNAse I hypersensitive sites to which regulatory potential could be assigned. The approach permits the computer-guided identification of yet unknown, mostly remote sites and the design of artificial elements with predictable properties for multiple applications.

Chromatin↗

PubMed2005

Friend, an integrated analytical front-end application for bioinformatics.

UNLABELLED: Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities, such as structure visualization, with different rendering and coloring, sequence alignment and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions and protein super-families. It is also useful for functional annotation of proteins, protein modeling and protein folding studies. Friend provides three levels of usage: (1) an extensive GUI for a scientist with no programming experience, (2) a command line interface for scripting for a scientist with some programming experience and (3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases. AVAILABILITY: http://mozart.bio.neu.edu/friend.

Computational Biology↗