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Results for “Bioinformatics analysis”

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PubMed2004

Genome-wide analysis of the GRAS gene family in rice and Arabidopsis.

Members of the GRAS gene family encode transcriptional regulators that have diverse functions in plant growth and development such as gibberellin signal transduction, root radial patterning, axillary meristem formation, phytochrome A signal transduction, and gametogenesis. Bioinformatic analysis identified 57 and 32 GRAS genes in rice and Arabidopsis, respectively. Here, we provide a complete overview of this gene family, describing the gene structure, gene expression, chromosome localization, protein motif organization, phylogenetic analysis, and comparative analysis between rice and Arabidopsis. Phylogenetic analysis divides the GRAS gene family into eight subfamilies, which have distinct conserved domains and functions. Both genome/segmental duplication and tandem duplication contributed to the expansion of the GRAS gene family in the rice and Arabidopsis genomes. The existence of GRAS-like genes in bryophytes suggests that GRAS is an ancient family of transcription factors, which arose before the appearance of land plants over 400 million years ago.

Amino Acid Motifs↗

PubMed2026

Specialized pro-resolving mediator (SPM)-enriched supplementation modulates inflammatory biomarkers in patients with symptomatic knee osteoarthritis: Blood plasma analysis from the GAUDI study.

BACKGROUND: Osteoarthritis (OA) is a leading cause of chronic pain and functional impairment, associated with persistent inflammation, potentially due to impaired resolution. Specialized pro-resolving lipid mediators (SPMs) regulate inflammation resolution and restore homeostasis. The GAUDI study previously demonstrated that SPM supplementation reduces pain and improves quality of life (QoL) in patients with knee OA. This analysis assesses the impact of SPM supplementation on inflammatory biomarkers (IB) and SPM levels and their relationship with clinical outcomes. METHODS: This is a secondary analysis of the GAUDI trial, a randomized, multicenter, double-blind, placebo-controlled study conducted in Spain in adults with symptomatic knee OA who received daily supplementation with SPMs or placebo for 12 weeks. Endpoints included changes in plasma IB and SPM levels and their correlation with clinical outcomes. RESULTS: Changes in IL-1 (15.9 vs. -1.1 pg/ml, p-value: 0.051) and IL-18 (10.3 vs. -1.4 pg/ml, p-value: 0.29) showed a tendency toward reduction in the SPM group compared to the placebo group. Changes in IL-1 and IL-8 positively correlated (r = 0.707, p-value: 0.005 and r = 0.551, p-value: 0.04; respectively) with changes in WOMAC score and negatively correlated (r = -0.797, p-value <0.001 and r = -0.804, p-value <0.001; respectively) with changes in EuroQoL-5 VAS score. Changes in IL-1 (r = 0.554, p-value: 0.048) and IL-6 (r = 0.631, p-value: 0.014 and r = 0.572, p-value: 0.031) correlated with changes in OMERACT-OARSI pain score. No significant differences in IB levels were observed between groups during the intervention. Minor changes in SPM levels point to metabolic pathways at work with SPM supplementation. In patients with a BMI ≥25 kg/m², most IB tended to decrease following SPM consumption. CONCLUSIONS: This analysis suggests a potential association between SPM supplementation, decreased inflammation, and improved pain and QoL in patients with knee OA. Subtle changes in blood plasma SPM levels were detected that indicate, through bioinformatics analysis, a pathway-specific metabolome activation induced by SPM supplementation. TRIAL REGISTRATION: NCT05633849. Registered December 1st, 2022. Retrospectively registered, https://clinicaltrials.gov/ct2/show/study/NCT05633849.

Humans↗

PubMed2003

Characterization of renal allograft rejection by urinary proteomic analysis.

OBJECTIVE: To develop a diagnostic method with no morbidity or mortality for the detection of acute renal transplant rejection. SUMMARY BACKGROUND DATA: Rejection constitutes the major impediment to the success of transplantation. Currently available methods, including clinical presentation and biochemical organ function parameters, often fail to detect rejection until late stages of progression. Renal biopsies have associated morbidity and mortality and provide only a limited sample of the organ. METHODS: Thirty-four urine samples were collected from 32 renal transplant patients at various stages posttransplantation. Samples were collected from 17 transplant recipients with acute rejection and 15 patients with no rejection. Samples from patients less than 4 days posttransplant were omitted from data analysis due to the presence of excessive inflammatory response proteins. Rejection status was confirmed by kidney biopsy. Specimens were analyzed in triplicate using SELDI mass spectrometry. The obtained spectra were subjected to bioinformatic analysis using ProPeak as well as CART (Classification and Regression Tree) algorithms to identify rejection biomarker candidates. These candidates were identified by their molecular weight and ranked by their ability to distinguish between nonrejection and rejection based on receiver operating characteristic (ROC) analysis. The candidates with the highest area under the ROC curve (AUC) exhibited the best diagnostic performance. RESULTS: The best candidate biomarkers demonstrated highly successful diagnostic performance: 6.5 kd (AUC = 0.839, P <.0001), 6.7 kd (AUC = 0.839, P <.0001), 6.6 kd (AUC = 0.807, P <.0001), 7.1 kd (AUC = 0.807, P <.0001), and 13.4 kd (AUC = 0.804, P <.0001). A separate analysis using the CART algorithm in the Ciphergen Biomarker Pattern Software correctly classified 91% of the 34 specimens in the training set, giving a sensitivity of 83% and specificity of 100% using two separate biomarker candidates at 10.0 kd and 3.4 kd. CONCLUSIONS: Biomarker candidates exist in urine that have the ability to distinguish between renal transplant patients with no rejection and those with acute rejection. These biomarker candidates are the basis for development of a noninvasive method of diagnosing acute rejection without the morbidity and mortality associated with needle biopsy. The combination of biomarkers into a panel for diagnosis leads to the possibility of enhanced diagnostic performance.

Acute Disease↗

PubMed2006

Analysis of Escherichia coli global gene expression profiles in response to overexpression and deletion of CspC and CspE.

The Escherichia coli cold shock protein CspA family consists of nine proteins (CspA to CspI), of which two, CspE and CspC, are constitutively produced at 37 degrees C and are involved in regulation of expression of genes encoding stress response proteins but can also perform an essential function during cold acclimation. In this study, we analyzed global transcript profiles of cells lacking cspE and cspC as well as cells individually overexpressing these proteins or a CspE mutant that is unable to melt nucleic acids and is defective in cold acclimation. The analysis reveals sets of genes whose expression (i) is regulated by CspC and CspE at physiological temperature or cold shock conditions and (ii) depends on the nucleic acid melting function of CspE. Bioinformatic analysis of the latter group reveals that many of those genes contain promoter-proximal sequences that can block transcript elongation and may be targeted by the nucleic acid melting function of CspE.

Escherichia coli↗

PubMed2025

CountASAP: a lightweight, easy to use python package for processing ASAPseq data.

BACKGROUND: Declining sequencing costs coupled with the increasing availability of easy-to-use kits for the isolation of DNA and RNA transcripts from single cells have driven a rapid proliferation of studies centered around genomic and transcriptomic data. Simultaneously, a wealth of new techniques have been developed that utilize single cell technologies to interrogate a broad range of cell-biological processes. One recently developed technique, transposase-accessible chromatin with sequencing (ATAC) with select antigen profiling by sequencing (ASAPseq), provides a combination of chromatin accessibility assessments with measurements of cell-surface marker expression levels. While software exists for the characterization of these datasets, there currently exists no tool explicitly designed to reformat ASAP surface marker FASTQ data into a count matrix which can then be used for these downstream analyses. RESULTS: To address this lack of a dedicated tool for ASAPseq data processing, we created CountASAP, an easy-to-use Python package purposefully designed to transform FASTQ files from ASAP experiments into count matrices compatible with commonly-used downstream bioinformatic analysis packages. CountASAP takes advantage of the independence of the relevant data structures to perform fully parallelized matches of each sequenced read to user-supplied input ASAP oligos and unique cell-identifier sequences. We directly compare the performance and user-friendliness of CountASAP to existing tools using similarly-structured data from a more common sequencing experiment: cellular indexing of transcriptomes and epitopes by sequencing (CITEseq). Further benchmarking against existing tools helps to identify proper defaults for CountASAP and assess the agreement of outputs from all tested software. A final test using a novel ASAPseq dataset provides evidence that CountASAP can generate biologically meaningful results that correlate well with paired chromatin accessibility data. CONCLUSIONS: CountASAP shows good agreement with existing, well-tested data processing tools in the analysis of similarly-structured benchmarking data. CountASAP runs efficiently on a standard laptop, has user-friendly documentation, a one-step installation, and represents the first and only tool designed specifically for the processing of ASAPseq data.

Software↗

PubMed2000

Systematic subcellular localization of novel proteins identified by large-scale cDNA sequencing.

As a first step towards a more comprehensive functional characterization of cDNAs than bioinformatic analysis, which can only make functional predictions for about half of the cDNAs sequenced, we have developed and tested a strategy that allows their systematic and fast subcellular localization. We have used a novel cloning technology to rapidly generate N- and C-terminal green fluorescent protein fusions of cDNAs to examine the intracellular localizations of > 100 expressed fusion proteins in living cells. The entire analysis is suitable for automation, which will be important for scaling up throughput. For > 80% of these new proteins a clear intracellular localization to known structures or organelles could be determined. For the cDNAs where bioinformatic analyses were able to predict possible identities, the localization was able to support these predictions in 75% of cases. For those cDNAs where no homologies could be predicted, the localization data represent the first information.

Animals↗

PubMed2004

Functional immunomics: microarray analysis of IgG autoantibody repertoires predicts the future response of mice to induced diabetes.

One's present repertoire of antibodies encodes the history of one's past immunological experience. Can the present autoantibody repertoire be consulted to predict resistance or susceptibility to the future development of an autoimmune disease? Here, we developed an antigen microarray chip and used bioinformatic analysis to study a model of type 1 diabetes developing in nonobese diabetic male mice in which the disease was accelerated and synchronized by exposing the mice to cyclophosphamide at 4 weeks of age. We obtained sera from 19 individual mice, treated the mice to induce cyclophosphamide-accelerated diabetes (CAD), and found, as expected, that 9 mice became severely diabetic, whereas 10 mice permanently resisted diabetes. We again obtained serum from each mouse after CAD induction. We then analyzed, by using rank-order and superparamagnetic clustering, the patterns of antibodies in individual mice to 266 different antigens spotted on the chip. A selected panel of 27 different antigens (10% of the array) revealed a pattern of IgG antibody reactivity in the pre-CAD sera that discriminated between the mice resistant or susceptible to CAD with 100% sensitivity and 82% specificity (P = 0.017). Surprisingly, the set of IgG antibodies that was informative before CAD induction did not separate the resistant and susceptible groups after the onset of CAD; new antigens became critical for post-CAD repertoire discrimination. Thus, at least for a model disease, present antibody repertoires can predict future disease, predictive and diagnostic repertoires can differ, and decisive information about immune system behavior can be mined by bioinformatic technology. Repertoires matter.

Animals↗

PubMed2006

Analysis of the Pasteurella multocida outer membrane sub-proteome and its response to the in vivo environment of the natural host.

This study describes the identification of outer membrane proteins (OMPs) of the bacterial pathogen Pasteurella multocida and an analysis of how the expression of these proteins changes during infection of the natural host. We analysed the sarcosine-insoluble membrane fractions, which are highly enriched for OMPs, from bacteria grown under a range of conditions. Initially, the OMP-containing fractions were resolved by 2-DE and the proteins identified by MALDI-TOF MS. In addition, the OMP-containing fractions were separated by 1-D SDS-PAGE and protein identifications were made using nano LC MS/MS. Using these two methods a total of 35 proteins was identified from samples obtained from organisms grown in rich culture medium. Six of the proteins were identified only by 2-DE MALDI-TOF MS, whilst 17 proteins were identified only by 1-D LC MS/MS. We then analysed the OMPs from P. multocida which had been isolated from the bloodstream of infected chickens (a natural host) or grown in iron-depleted medium. Three proteins were found to be significantly up-regulated during growth in vivo and one of these (Pm0803) was also up-regulated during growth in iron-depleted medium. After bioinformatic analysis of the protein matches, it was predicted that over one third of the combined OMPs predicted by the bioinformatics sub-cellular localisation tools PSORTB and Proteome Analyst, had been identified during this study. This is the first comprehensive proteomic analysis of the P. multocida outer membrane and the first proteomic analysis of how a bacterial pathogen modifies its outer membrane proteome during infection.

Animals↗

PubMed2026

Whole-genome sequencing and analysis of the endophytic fungus Alternaria alternata Y-2 from Leymus chinensis.

To explore the genetic basis and functional potential of beneficial symbiosis between the endophytic fungus Alternaria alternata Y-2 and its host Leymus chinensis, we performed Illumina-based draft whole-genome sequencing and systematic bioinformatic analysis. Although this assembly does not reach telomere-to-telomere completeness, it provides high-quality gene-level information for gene prediction, functional annotation, carbohydrate-active enzyme (CAZyme) identification, and secondary metabolite biosynthetic gene cluster analysis. The final genome size of A. alternata Y-2 was 34,383,676 bp with a GC content of 51.0%, containing 12,724 predicted protein-coding genes, 90 tRNAs, and 12 rRNAs. BUSCO assessment showed 98.9% completeness, supporting the high quality of this draft genome. A total of 12,627 genes were successfully annotated in the NCBI NR database, and 17,183 genes were functionally categorized using GO terms. In total, 448 CAZyme genes and 21 secondary metabolite biosynthetic gene clusters were identified, which are potentially involved in lignocellulose degradation, cellular redox homeostasis and biosynthesis of bioactive metabolites. Based on ITS sequence alignment, NR annotation, and phylogenetic analysis of single-copy orthologous genes, the strain was confidently identified as A. alternata. This study firstly reports the draft genome of an endophytic A. alternata strain derived from L. chinensis and provides valuable genetic resources for exploring the endophytic lifestyle, stress tolerance, and bioactive metabolite potential of this fungus.

Alternaria↗

PubMed2005

Global gene expression analysis revealed an unsuspected deo operon under the control of molybdate sensor, ModE protein, in Escherichia coli.

ModE protein, a molybdate sensor/regulator, controls the transcription of genes coding for molybdate uptake (mod), molybdopterin synthesis (moa), molybdoenzymes nitrate reductase (nap) and dimethylsulfoxide reductase (dms), as well as fermentative dihydrogen production (fdhF and hyc) and respiratory nitrate reductase (narXL) in Escherichia coli. The catalytic product of a second protein, MoeA, is also required for molybdate-dependent positive regulation of hyc and nar operons. To explore the potential role of ModE and MoeA in the regulation of other E. coli genes, the global gene expression profile of a wild type and a modE, moeA double mutant grown in glucose-minimal medium under anaerobic conditions were compared. Expression of 67 genes was affected by the modE and moeA mutations (P value <0.01). Of these, 17 differed by at least 2-fold or higher. Fourteen genes were expressed at a higher level in the mutant (2.4- to 23.9-fold) (notably, mod-molybdate transport, deo-nucleoside catabolism and opp-oligopeptide transport operons) and dmsA and yli operon were expressed at a higher level in the wild type parent (2.6- to 5.7-fold). One of the unexpected findings was repression of the deo operon by ModE. This was confirmed by quantitative RT-PCR and by the analysis of a deoC-lacZ fusion. The deo promoter/operator region contains a putative ModE-consensus sequence centered at -35 in which the adenines are replaced by guanines (TGTGT-N7-TGTGT). The ModE protein did bind to the deo upstream DNA and shifted its electrophoretic mobility. Bioinformatics analysis of the E. coli genome for ModE-consensus motif (TATAT-N7-TAYAT) identified 21 additional genes/operons including the moa as potential targets for Mo-control. The physiological role of many of the genes identified solely by bioinformatics (19/21) is unknown. Expression levels of these genes were similar in the parent and the isogenic modE, moeA mutant when cultured anaerobically in glucose-minimal medium. This study identified additional targets, such as deo and opp, for the Mo-dependent control in E. coli.

Escherichia coli↗

PubMed2006

In silico identification and comparative analysis of differentially expressed genes in human and mouse tissues.

BACKGROUND: Screening for differentially expressed genes on the genomic scale and comparative analysis of the expression profiles of orthologous genes between species to study gene function and regulation are becoming increasingly feasible. Expressed sequence tags (ESTs) are an excellent source of data for such studies using bioinformatic approaches because of the rich libraries and tremendous amount of data now available in the public domain. However, any large-scale EST-based bioinformatics analysis must deal with the heterogeneous, and often ambiguous, tissue and organ terms used to describe EST libraries. RESULTS: To deal with the issue of tissue source, in this work, we carefully screened and organized more than 8 million human and mouse ESTs into 157 human and 108 mouse tissue/organ categories, to which we applied an established statistic test using different thresholds of the p value to identify genes differentially expressed in different tissues. Further analysis of the tissue distribution and level of expression of human and mouse orthologous genes showed that tissue-specific orthologs tended to have more similar expression patterns than those lacking significant tissue specificity. On the other hand, a number of orthologs were found to have significant disparity in their expression profiles, hinting at novel functions, divergent regulation, or new ortholog relationships. CONCLUSION: Comprehensive statistics on the tissue-specific expression of human and mouse genes were obtained in this very large-scale, EST-based analysis. These statistical results have been organized into a database, freely accessible at our website http://gln.ibms.sinica.edu.tw/product/HMDEG/EST/index.php, for easy searching of human and mouse tissue-specific genes and for investigating gene expression profiles in the context of comparative genomics. Comparative analysis showed that, although highly tissue-specific genes tend to exhibit similar expression profiles in human and mouse, there are significant exceptions, indicating that orthologous genes, while sharing basic genomic properties, could result in distinct phenotypes.

Animals↗

PubMed2005

Analysis of newly identified low copy AluYj subfamily.

Human specific AluY elements were investigated by comparative analysis between human chromosome 21 and chimpanzee chromosome 22. Human specific AluY element was identified on human chromosome 21q22 (accession no. AL163282), and then that was a new member of AluYj subfamily. From the bioinformatic analysis, AluYj subfamily was investigated in human whole genome using AluYj4 consensus sequence (accession no. AL163282). Thirteen members of the AluYj4 elements (4 diagnostic mutations) and eight members of the AluYj3 elements (3 diagnostic mutations) were identified with distinct diagnostic mutation from AluY consensus sequence. The results of the molecular clock calculation of non-CpG region substitution indicated that, AluYj4 elements (2.1 million years old) may be proliferated more recent time than AluYj3 elements (14.1 million years old). For the verification of recent insertion time, four of AluYj4 elements (ch2-AC017101, ch10-AC044786, ch12-AC007656 and ch21-AL163282) from human chromosomes 2, 10, 12, 21 were analyzed by PCR amplification using various human and primate DNA samples. Though, no polymorphism was detected in human population, we identified the new AluYj4 subfamily as the human specific elements.

Alu Elements↗

PubMed2006

Structural analysis of the human respiratory syncytial virus phosphoprotein: characterization of an alpha-helical domain involved in oligomerization.

Human respiratory syncytial virus (HRSV) phosphoprotein (P), an essential cofactor of the viral polymerase, is much shorter (241 aa) than and has no sequence similarity to P of other paramyxoviruses. Nevertheless, bioinformatic analysis of HRSV P sequence revealed a modular organization, reminiscent of other paramyxovirus Ps, with a central structured domain (aa 100-200), flanked by two intrinsically disordered regions (1-99 and 201-241). To test the predicted structure experimentally, HRSV P was purified from cell extracts infected with recombinant vaccinia virus or HRSV. The estimated molecular mass of P by gel filtration (approximately 500 kDa) greatly exceeded the theoretical mass of a homotetramer, proposed as the oligomeric form of native P. Nevertheless, the profile of cross-linked products obtained with purified P resembled that reported by others with P purified from bacteria or mammalian cells. Thus, the shape of HRSV P probably influences its elution from the gel filtration column, as reported for other paramyxovirus Ps. Digestion of purified HRSV P with different proteases identified a trypsin-resistant fragment (X) that reacted with a previously characterized monoclonal antibody (021/2P). N-terminal sequencing and mass spectrometry analysis placed the X fragment boundaries (Glu-104 and Arg-163) within the predicted structured domain of P. Cross-linking and circular dichroism analyses indicated that fragment X was oligomeric, with a high alpha-helical content, properties resembling those of the multimerization domain of Sendai and rinderpest virus P. These results denote structural features shared by HRSV and other paramyxovirus Ps and should assist in elucidation of the HRSV P structure.

Cell Line↗

PubMed2006

Bothrops jararaca venom gland transcriptome: analysis of the gene expression pattern.

Bothrops jararaca is a pit viper responsible for the majority of snake envenoming accidents in Brazil. As an attempt to describe the transcriptional activity of the venom gland, ESTs of a cDNA library constructed from B. jararaca venom gland were generated and submitted to bioinformatics analysis. The results showed a clear predominance of transcripts coding for toxins instead of transcripts coding for proteins involved in cellular functions. Among toxins, the most frequent transcripts were from metalloproteinases (52.6%), followed by serine-proteinases (28.5%), C-type lectins (8.3%) and bradykinin-potentiating peptides (BPPs) (6.2%). Results were similar to that obtained from the transcriptome analysis of B. insularis, a phylogenetically close sister of B. jararaca, though some differences were observed and are pointed out, such as a higher amount of the hypotensive BPPs in B. insularis transcriptome (19.7%). Another striking difference observed is that PIII and PII-classes of metalloproteinases are similarly represented in B. jararaca in contrast to B. insularis, in which a predominance of PIII-class metalloproteinase, which present a more intense hemorrhagic action, is observed. These features may, in part, explain the higher potency of B. insularis venom. The results obtained can help in proteome studies, and the clones can be used to directly probe the genetic material from other snake species or to investigate differences in gene expression pattern in response to factors such as diet, aging and geographic localization.

Animals↗

PubMed2006

Proteomic analysis of the allograft response.

BACKGROUND: As transcriptional profiling techniques appear to provide a useful means to evaluate the allograft response, we have now initiated an attempt to use proteomics to examine the allograft response. METHODS: To this end, we have evaluated the use of Protein Chip technology, coupled with bioinformatics analysis towards discovery of allograft response biomarkers in a mouse skin transplant model. To compare samples obtained from acutely rejecting allograft recipients at days 7, 9, and 21, we treated one group with a potent antirejection regimen. Mean survival time in the fully MHC-mismatched skin graft model using this protocol is more than 100 days. We also studied recipients of nontreated syngenetic grafts. We applied Protein Chip technology toward discovery of allograft response markers in this model. RESULTS: At days 7 and 9, before the clinical appearance of rejection at day 10, several protein biomarker candidates were detected, based on their molecular mass that clearly differentiated between rejection and the nonrejection groups. CONCLUSIONS: Protein profiling of serum as a means to characterize the allografts response of a given host deserves further testing in clinical studies.

Abatacept↗

PubMed2005

Gene expression profile studies of human keratoconus cornea for NEIBank: a novel cornea-expressed gene and the absence of transcripts for aquaporin 5.

PURPOSE: To increase the database of genes expressed in human cornea and to gain insights into the molecular basis of keratoconus (KC). METHODS: A cDNA library was constructed from KC corneas harvested at keratoplasty and used for expressed sequence tag (EST) analysis. Data were analyzed using grouping and identification of sequence tags (GRIST). Expression of selected clones was examined by RT-PCR. RESULTS: A total of 7680 clones was sequenced from the 5' end. After bioinformatics analysis, 4090 clusters of clones, each potentially representing individual genes, were identified. Of these, 887 genes were represented by more than one clone. The five most abundant transcripts, represented by >60 clones each, were for keratin-12, TGFBI (BIGH3), decorin, ALDH3, and enolase 1, all known markers for cornea. Many other markers for epithelial, stromal, and endothelial genes were also present. One cluster of six clones came from an apparently novel gene (designated KC6) located on chromosome 18 at p12.3. RT-PCR of RNA from several human tissues detected KC6 transcripts only in cornea. In addition, no clones were observed for the usually prominent corneal epithelial cell marker aquaporin 5 (AQP5), a water channel protein. Semiquantitative RT-PCR confirmed that expression of AQP5 is much lower in KC cornea than in non-KC cornea. CONCLUSIONS: This analysis increases the database of genes expressed in the human cornea and provides insights into KC. KC6 is a novel gene of unknown function that shows cornea-preferred expression, whereas the suppression of transcripts for AQP5 provides the first clear evidence of a molecular defect identified in KC.

Amino Acid Sequence↗

PubMed2025

Exploring the c.406 C > T variant in TNNI3 gene: pathogenic insights into restrictive cardiomyopathy.

BACKGROUND: Restrictive cardiomyopathy (RCM) is a rare cardiac disorder characterized by diastolic dysfunction and myocardial stiffness, frequently associated with genetic variants. We aimed to explore the genetic basis of RCM in a diagnosed patient through comprehensive genetic analysis. METHODS: Whole exome sequencing (WES) was conducted on the proband, followed by Sanger sequencing for variant confirmation and familial segregation analysis. In silico tools and structural protein modeling were employed to assess the functional impact of the identified variant. RESULTS: The c.406 C > T variant, classified as likely pathogenic, results in a truncated TNNI3 protein. Bioinformatics analysis highlighted significant structural disruptions, likely impairing sarcomere function. The patient presented with growth retardation, progressive dyspnea, and echocardiographic findings consistent with RCM. Both parents were heterozygous carriers, supporting an autosomal recessive inheritance pattern. The homozygosity of the novel variant identified in this study is a critical factor in the genotype-phenotype correlation observed in this case. CONCLUSION: This study identified the novel c.406 C > T variant in TNNI3 as a potential pathogenic driver of RCM, emphasizing the critical role of genetic evaluations in early diagnosis and management of inherited cardiomyopathies. Further studies are warranted to explore therapeutic interventions targeting TNNI3-related pathologies.

Humans↗

PubMed2004

Cervical intraepithelial neoplasia: prognosis by combined LOH analysis of multiple loci.

OBJECTIVE: Cervical intraepithelial neoplasias (CIN) show markedly variable clinical behavior. Clinically, it is important to distinguish CIN lesions with different behaviors and identify those likely to persist and progress. The purpose of this study is to explore whether CIN lesions with different clinical behaviors can be stratified by analysis of loss of heterozygosity (LOH) at multiple loci. METHODS: One hundred sixty-four cases of CIN (54 CIN1, 59 CIN2 and 51 CIN3) were screened for LOH at 12 microsatellite markers including 10 from 3p14, 3p21-22, 6p21 and 11q23. LOH was correlated with clinical follow-up data and high-risk HPV infection. RESULTS: In a pilot study of 71 cases of CIN, screening of 12 microsatellite markers identified four (D3S1300, D3S1260, D11S35, and D11S528) at which LOH was significantly associated with disease persistence/progression. These four markers were further investigated in a larger cohort, which brought the total number of cases examined to 164. Combined analysis of LOH at the above four loci permitted the identification of 22-47% of CIN lesions depending on the histological grade, which showed disease persistence/progression. LOH at these loci was significantly associated with HPV16 infection. Bioinformatic analysis identified several candidate genes including the fragile histidine triad gene and progesterone receptor gene that may be the target of deletions. CONCLUSIONS: LOH at D3S1300, D3S1260, D11S35 and D11S528 was significantly associated with cins that showed persistence/progression, and combined LOH analyses at these loci could be used to identify such cases.

Adult↗