Important Genes Research Articles

Identification and validation of autophagy-related genes in Hirschsprung's disease.

Hirschsprung's disease (HSCR) is a congenital disorder characterized by aganglionosis in the intermuscular and submucosal nerve plexuses of the gut, leading to impaired gastrointestinal function. Although the precise cause and pathophysiology of HSCR remain elusive, increasing evidence points to a significant role of autophagy in its development, warranting further investigation into its underlying mechanisms. This study utilized publicly available microarray expression profiling datasets, GSE96854 and GSE98502, from the Gene Expression Omnibus (GEO). The R software (version 4.2.0) was employed to identify autophagy-related genes potentially showing differential expression in HSCR. Subsequent analyses included correlation analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction (PPI) network analysis using the STRING database (version 11.0) and Cytoscape software (version 3.8.2). Ultimately, HSCR samples were used to verify the mRNA levels of important genes by quantitative real-time polymerase chain reaction (qRT-PCR) in a laboratory setting. We have discovered 20 genes that are involved in autophagy and show variable expression. Among these genes, 15 are up-regulated and five are down-regulated. The enrichment analysis using the GO and KEGG pathways revealed a notable enrichment in pathways related to the control of autophagy. Nine hub genes were found via the investigation of the PPI network constructed from STRING database and module analysis using Cytoscape. Moreover, the concordance between SIRT1 expression in the HSCR model and the bioinformatics analysis of mRNA chip findings was validated using qRT-PCR. Utilizing bioinformatics analysis, we identified 20 potential genes associated with Hirschsprung's disease that play a role in autophagy. Notably, the upregulation of SIRT1 may profoundly influence the progression of HSCR by regulating autophagy-related pathways, offering a novel perspective on the disease's pathogenesis.

Genetic selection for lung adenocarcinoma: a statistical approach based on pathological genetic data

Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer (NSCLC), with high morbidity and mortality worldwide, posing a serious threat to human health. Due to the complex molecular mechanism of lung adenocarcinoma, which involves a variety of genetic and environmental factors, this makes early diagnosis and treatment a major challenge. This research aims to identify the key pathogenic genes of lung adenocarcinoma to solve the challenges in early diagnosis and treatment. In this paper, three differential analysis methods, limma, DESeq2 and edgeR, were used to select 3315 differential genes. Then, combined with Lasso regression and XGboost algorithm, the pathological gene data were analyzed in depth, and through these advanced statistical and machine learning techniques, the genes related to lung adenocarcinoma were screened from a large number of gene expression data, and 17 characteristic genes of the highest importance were found GO enrichment analysis and KEGG enrichment analysis were performed on these characteristic genes to clarify the biological functions of the genes. Finally, 8 significant pathogenic genes were identified by Cox survival analysis. The expression levels of these genes are closely related to the prognosis of lung adenocarcinoma patients, providing a new perspective for understanding the disease mechanism. The conclusions of this study not only improve the understanding of the molecular mechanism of lung adenocarcinoma, but also provide potential biomarkers for clinical diagnosis and treatment. The discovery of these genes is expected to promote the development of early diagnosis technology and guide the formulation of personalized treatment plans, thereby improving the treatment efficacy and quality of life of lung adenocarcinoma patients. In the future, these genes may become key targets for the development of new drugs and therapeutic strategies.

Morpho-molecular evaluation for developmental competence of oocytes retrieved through transvaginal ovum pick-up from FSH-stimulated Tharparkar donor cows (Bos indicus).

The study was conducted on indigenous Tharparkar cow (Bos indicus) to evaluate FSH stimulation on follicular attributes, oocyte recovery and morpho-molecular developmental competence parameters concerning oocyte quality. A total of 20 OPU sessions were performed, which included 10 sessions in each FSH stimulated at the dose of 130 µg divided into four sub-doses and non-stimulated. Findings on the size of follicles having ≥6 mm showed a significantly higher, however an opposite trend was observed in the case of smaller sized follicle (<6 mm) between stimulated and non-stimulated respectively. The stimulated cows had a significantly higher number as well as the percentage of oocytes of Grade A, having a diameter ≥120 µm and BCB+VE as compared to the non-stimulated cows. The relative mRNA expression profile of GDF9, BMP15, PCNA and BCL-2 genes was higher and BAX was lower in the FSH-stimulated cow. These results indicated that FSH stimulation before OPU in Bos indicus cows has a significant impact on follicle size, oocyte yield, recovery, and their quality with respect to COC's, diameter and BCB+VE oocytes. Further, a significant increase in the relative mRNA expression levels of GDF9, BMP15 and PCNA genes in the FSH-stimulated group suggests that FSH plays a key role in modulating the expression of these important candidate genes and thus influencing oocyte quality. The higher mRNA expression of BCL-2 genes and concomitantly lower expression of BAX gene in FSH Stimulated cows indicates the protective role of these genes and preventing programmed cell death and thus promoting cell survival, quality and embryo development.

Joint Genomic and Transcriptomic Analysis Reveals Candidate Genes Associated with Plumage Color Traits in Matahu Ducks.

Plumage color is a key trait for identifying waterfowl breeds with significant economic importance. A white-feathered group has recently emerged within the native Matahu duck population, presenting an opportunity for breeding new lines. However, the genetic basis for this plumage variation is still unknown, necessitating further research. This study aims to identify the genetic mechanisms underlying the emergence of white-feathered individuals in the Matahu duck population through combined genome and transcriptome analysis, providing insights for selective breeding and the development of new white-feathered lines. In this study, a total of 1344 selected genes and 1406 significantly differentially expressed genes were identified through selection signal analysis and transcriptomic analysis, respectively. The functional enrichment of these genes revealed several key signaling pathways, including those related to cGMP-PKG, cAMP, PI3K-Akt, and MAPK. Furthermore, important candidate genes involved in melanin biosynthesis, such as MITF, MC1R, TYR, TYRP1, and ABCB6, were identified. Notably, 107 genes were detected by both methods, and, among these, DGKI, GPRC5B, HMX1, STS, ADGRA1, PRKAR2B, and HOXB9 are suggested to play a role in melanin formation and potentially influence plumage traits. Through the integrative approach combining genomic selection signals and transcriptomic analyses, we identified several candidate genes directly associated with plumage color, including MITF, TYR, TYRP1, and MC1R, along with multiple signaling pathways linked to melanin formation. We hypothesize that the expression of DGKI, GPRC5B, HMX1, STS, ADGRA1, PRKAR2B, and HOXB9, detected by both methods, may be closely related to the regulation of plumage color traits. These findings provide a foundational basis for further research aimed at elucidating the genetic mechanisms governing plumage color variation in ducks.

IGSF1: a biomarker for predicting prognosis, immunotherapy response, and drug candidates in COVID-19 combined hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy with poor prognosis and a common cause of cancer-related death worldwide, and despite ongoing therapeutic breakthroughs, patient survival benefits are limited. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of coronavirus disease 2019 (COVID-19) and poses a major threat to humanity worldwide. As the epidemic continues to develop, more and more people are infected with SARS-CoV-2, including patients with HCC. However, the relationship between COVID-19 and HCC has not yet been fully elucidated. Our study aimed to identify the shared genetic characteristics and molecular mechanisms between COVID-19 and HCC. The data involved in this study come from Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression(GTEx), and Cancer Cell Line Encyclopedia(CCLE) databases. We used differentially expressed genes to perform enrichment analysis to reveal the biological landscape of COVID-19 combined with HCC. In addition, weighted gene co-expression network analysis (WGCNA) was used to study the co-expression network related to COVID-19 and HCC. We then combined the validation datasets to screen out immunoglobulin superfamily member 1 (IGSF1) as the most important core gene. Finally, we extensively studied the functional expression of IGSF1 in tumor samples, normal tissues, and cancer cell lines. The molecular mechanisms related to COVID-19 and HCC are rarely studied. Our study identifies IGSF1 as a potential therapeutic target and immune-related biomarker for patients with COVID-19 and HCC.

Bioinformatics and machine learning-driven key genes screening for vortioxetine

Vortioxetine is a pharmacological agent that acts as a serotonin modulator and stimulant, with safety and tolerability being important health issues. This study aimed to use bioinformatic and machine learning methods to find differentially expressed genes (DEG) between rats exposed to vortioxetine and matched controls. The GSE236207 dataset (Rattus norvegicus) was obtained from the National Center for Biotechnology Information (NCBI) and analyzed with R, followed by genetic ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses, and String's protein-protein interaction network was established to identify important genes. The original datasets were preprocessed in the second step by detecting and correcting missing and noisy data and then merged. After feature selection for the cleaned dataset, machine learning algorithms such as the K-nearest neighbors' algorithm, Naive Bayes, and Support Vector Machine (SVM) were used. In addition, an accuracy of 0.90 was observed with SVM. Leveraging these techniques, the study linked IGFBP7, KLRA22, PROB1, SHQ1, NTNG1, and LOC102546359 to vortioxetine exposure. The bioinformatic analysis revealed 18 upregulated genes and 27 downregulated genes, with all approaches identifying only one common locus, LOC102546359, responsible for noncoding ribonucleic acid (ncRNA) synthesis. The crucial point is that this locus bears no connection to any disease or trigger mechanism, thereby bolstering the safety of vortioxetine.

CEBPA mutation in acute myeloid leukemia: prognostic impact of bZIP domain mutation

Abstract One of the most important prognostic genes for acute myeloid leukemia (AML) is CEPBA, and its mutation (CEBPAmu) is present in nearly 10%–15% of de novo AML cases. CEBPAdm is associated with a favorable prognosis; however, CEBPAsm does not appear to have a better prognosis than CEBPAdm. We reviewed CEBPAmu-bZIP in 8694 cases across studies for prognostic impact in patients with de novo AML. It was observed that CEBPAmu in the basic leucine zipper domain (bZIP) was strongly associated with a favorable prognosis, but CEBPAmu out of the bZIP domain was not. CEBPA-bZIP mutations were discovered in 562 (6.46%) of 8694 cases, with 366 (65.1%) harboring a second CEBPA mutation (CEBPA-double-mutated [CEBPAdm]) and 196 (34.9%) having a single CEBPA-bZIP only mutation. Multivariate analysis of three studies consisting of 1028, 4708, and 2958 patients showed that CEBPAmu in bZIP was the most potent predictor of overall survival (OS) with overall survivability of 53%, 62%, and 89%, respectively, independently. However, complete remission of disease with bZIP mutation in the same studies was found to be 80%, 62%, and 78.6%, respectively. These findings indicate that CEBPAmu in bZIP is a potent marker for AML prognosis.

Rare genetic variants in LDLR, APOB, and PCSK9 are associated with aortic stenosis

Abstract Background Aortic stenosis (AS) is the most common cardiac valvular disease in the developed world. Although AS is associated with substantial morbidity and mortality, current treatment options are limited to invasive procedures and reserved for severe symptomatic disease. Genetic studies have linked common variants near lipid genes to AS and cohort studies have linked diagnoses of familial hypercholesterolemia to AS. In contrast, randomized controlled trials have shown no benefit of lipid-lowering therapy in AS. Purpose We aimed to assess the impact on AS conferred by lifelong decreased or increased LDL levels, by studying rare genetic variation in three important lipid handling genes (LDLR, APOB, PCSK9) from a genome-first perspective. Methods We utilized sequencing data and electronic health records from the UK Biobank (UKB) and the All of Us Research Program (AllofUs). We used LOFTEE to identify carriers of truncating variants in LDLR (LDLRtv), APOB (APOBtv) and PCSK9 (PCSK9tv); we used AlphaMissense to identify predicted-damaging missense variants (LDLR-AM, APOB-AM, PCSK9-AM). Linear regression analyses were used to assess the impact of the variant groupings on LDL levels in the UK Biobank, adjusting for sex, age, age^2, and principal components of ancestry. We then conducted Firth’s logistic regression analyses in UK Biobank and AllofUs modelling AS as outcome and variant status as predictor, adjusting for the same covariates; we used an inverse-variance-weighted meta-analysis to combine results. Results We identified 421,058 unrelated participants (N=5,322 AS cases) in the UK Biobank, and 232,170 unrelated participants (N=1,087 AS cases) in AllofUs. Across both cohorts, we identified 198 LDLRtv carriers, 1095 LDLR-AM carriers, 662 APOBtv carriers, 1422 APOB-AM carriers, 712 PCSK9tv carriers and 794 PCSK9-AM carriers. In the UK Biobank LDL values were substantially elevated in LDLRtv (P=1.9x10-48) and LDLR-AM carriers (P=7.5e-200), while LDL levels were substantially decreased in APOBtv (P&amp;lt;1x10-200), APOB-AM (P=6.3x10-19), PCSK9tv (P=1.2x10-114) and PCSK9-AM carriers (P=9.9x10-73; Figure 1). Across UK Biobank and AllofUs, the risk of being diagnosed with AS was strongly increased in LDLRtv (odds ratio [OR]=9.2 [4.32–19.50], P=8e-9) and LDLR-AM carriers (OR=2.76 [1.75–4.35], P=1e-5; Figure 2). Directionally consistent with these effects, we observed a trend towards decreased AS risk among carriers of either APOBtv or PCSK9tv (OR=0.57, [0.30–1.08], P=0.08) and a significantly reduced risk among carriers of APOB-AM or PCSK9-AM (OR=0.46, [0.26-0.82], P=0.009). Conclusion Rare genetic variants that confer lifelong increased LDL levels are associated with substantially increased risk of AS, and vice versa. Our results support a causal role of LDL in AS pathogenesis. In the context of trials demonstrating no benefit in AS, our findings suggest that lipid-lowering may need to be initiated earlier to affect AS development.LDL levels in UK BiobankAS risk in UK Biobank and AllofUs

Multi-omics integration analysis identifies pathogenic candidate genes of congenital heart defects with vascular malformation

Abstract Background Congenital heart defects (CHD) with vascular malformation harbors numerous genetic and epigenetic aberrations of DNA copy numbers and methylation. Proteomic deregulation by the aberrations plays key driver roles in heterogeneous progression of CHD. However, it still remains largely unknown about integrative analysis of genetic, epigenetic regulation and proteome in CHD. Purpose We employed a multi-omics approach to explore pathogenic candidate genes in CHD with vascular malformation. Methods Previously, we gathered WES data for 216 CHD patients with vascular malformation and 100 healthy controls. Meanwhile, we carried out DNA methylation analysis from 11 patients and 5 controls. Here, we profile proteomics of vascular tissues from 11 patients and 5 controls. Integration analysis of DNA copy-number-correlated (CNVcor) genes, methylation-correlated (METcor) genes and differentially proteins reveal the innovative and crucial pathogenetic genes. We then detected spatiotemporal expression patterns of candidate genes in zebrafish embryos using in situ hybridization and qPCR, and verified the roles in vascular development by morpholino-mediated gene knockdown. Results 90 differentially expressed proteins (DEPs) were obtained using proteomics and were mainly related to cell adhesion and migration, angiogenesis, amino acid metabolism, and HIF-1 signaling pathway through GO and KEGG pathway enrichment analysis. 15 hub proteins were identified by WGCNA analysis (Fig 1). Additionally, we found that the frequencies of the aberrancies of the CNVcor genes were significantly correlated with the METcor genes (Fig 2 C). We obtained 1924 differentially CNVcor genes and 952 differentially METcor genes. Then, we computed the Pearson’s correlation coefficients of all three-omics by pairwise comparison and found that the distribution of correlations was bimodal (Fig 2 D). Meanwhile, 28 overlapped genes were observed among three-omics. We screened out 11 candidate genes (TIMP1, BGN, LTBP1, AKR1C3, LOXL3, MAOA, MAOB, GNA12, IFI30, CNTNAP1, IGF2BP1) according to the node degree of PPI network analysis between 28 genes and known vascular development related genes. We further figured out LOXL3, MAOA, CNTNAP1 and IGF2BP1 are the novel important genes for vascular malformation, of which CNTNAP1 is the joint gene of three-omics. Through expression patterns and gene knockdown in zebrafish embryos, we revealed that LOXL3, MAOA, CNTNAP1 and IGF2BP1 affect vascular development (Fig 2 E-G). Conclusions We identify novel key candidate genes (LOXL3, MAOA, CNTNAP1 and IGF2BP1) potentially related to CHD with vascular malformation and elucidate the possible molecular pathogenesis of CHD. Our multi-omics integrative analysis provides new insights on the multi-layered etiology of CHD, which might be helpful in developing clinical diagnosis and precaution for CHD.Figure 1Figure 2

Characteristic disease defects in circulating endothelial cells isolated from patients with pulmonary arterial hypertension.

Pulmonary arterial hypertension (PAH) is a progressive disease characterized by elevated pulmonary arterial pressures that can lead to right heart failure and death. No cure exists for this disease, but therapeutic advancements have extended its median survival from 2 to 7 years. Mechanistic research in PAH has been limited by factors including that a) animal models do not fully recapitulate the disease or provide insights into its pathogenesis, and b) cellular material from PAH patients is primarily obtained from donor lungs during autopsy or transplantation, which reflect end-stage disease. Therefore, there is a need to identify tools that can elucidate the specific mechanisms of human disease in individual patients, a critical step to guide treatment decisions based on specific pathway abnormalities. Here we demonstrate a simple method to isolate and culture circulating endothelial cells (CECs) obtained at the time of right heart catheterization in PAH patients. We tested these CECs using transcriptomics and found that they have typical traits of PAH, including those involving key treatment pathways, i.e. nitric oxide, endothelin, prostacyclin and BMP/activin pathways. CECs show important gene expression changes in other central PAH disease pathways. In summary, we present a new cellular model for the ex-vivo mechanistic evaluation of critical PAH pathways that participate in the pathogenesis of the disease and may help personalized therapeutic decisions.

Analysis of genetic structure and identification of important genes associated with muscle growth in Fujian Muscovy duck

Fujian Muscovy duck is a well-known meat waterfowl in Fujian Province due to its high meat production, superior breeding potential, and strong resistance. To fully explore the genetic characteristics of these advantages, Fujian black Muscovy duck and white Muscovy duck were used for whole-genome re-sequencing and transcriptome analyses. Population structure analysis showed significant differentiation between the two feather strains. Runs of homozygosity analysis indicated a stronger artificial influence on the black-feathered strain, with ROH island genes notably enriched in muscle tissue-related terms and pathways. Selective sweep and transcriptome analysis revealed a significant enrichment of genes linked to muscle tissue and muscle fiber-related terms and pathways. Key candidate genes identified, such as MEF2C, MYOZ2, and METTL21C, are believed to play crucial roles in meat production in Fujian Muscovy duck. This study offers a new perspective on improving meat production in Fujian Muscovy duck, which can benefit breeding strategies and production management.

An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is an etiologically complex disease characterized by acute exacerbations and stable phases. We aimed to identify biological functions modulated in specific COPD conditions, using whole blood samples collected in the AERIS clinical study (NCT01360398). Considered conditions were exacerbation onset, severity of airway obstruction, and presence of respiratory pathogens in sputum samples. With an integrative multi-network gene community detection (MNGCD) approach, we analyzed expression profiles to identify communities of correlated genes. The approach combined different layers of gene interactions for each explored condition/subset of samples: gene expression similarity, protein-protein interactions, transcription factors, and microRNAs validated regulons. Heme metabolism, interferon-alpha, and interferon-gamma pathways were modulated in patients at both exacerbation and stable-state visits, but with the involvement of distinct sets of genes. An important gene community was enriched with G2M checkpoint, E2F targets, and mitotic spindle pathways during exacerbation. Targets of TAL1 regulator and hsa−let−7b − 5p microRNA were modulated with increasing severity of airway obstruction. Bacterial infections with Moraxella catarrhalis and, particularly, Haemophilus influenzae triggered a specific cellular and inflammatory response in acute exacerbations, indicating an active reaction of the host to infections. In conclusion, COPD is a complex multifactorial disease that requires in-depth investigations of its causes and features during its evolution and whole blood transcriptome profiling can contribute to capturing some relevant regulatory mechanisms associated with this disease. In this work, we explored multi-network modeling that integrated diverse layers of regulatory gene networks and enhanced our comprehension of the biological functions implicated in the COPD pathogenesis.

Multi-omics analysis identifies PTTG1 as a prognostic biomarker associated with immunotherapy and chemotherapy resistance

BackgroundPituitary tumor-transforming gene 1 (PTTG1) is an important gene in tumour development. However, the relevance of PTTG1 in tumour prognosis, immunotherapy response, and medication sensitivity in human pan-cancer has to be determined.MethodsTIMER, GEPIA, the human protein atlas, GEPIA, TISCH2, and cBioportal examined the gene expression, protein expression, prognostic value, and genetic modification landscape of PTTG1 in 33 malignancies based on the TCGA cohort. The association between PTTG1 and tumour immunity, tumour microenvironment, immunotherapy response, and anticancer drug sensitivity was investigated using GSCA, TIDE, and CellMiner CDB. Molecular docking was used to validate the possible chemotherapeutic medicines for PTTG1. Additionally, siRNA-mediated knockdown was employed to confirm the probable role of PTTG1 in paclitaxel-resistant cells.ResultsPTTG1 is overexpressed and associated with poor survival in most tumors. Functional enrichment study revealed that PTTG1 is involved in the cell cycle and DNA replication. A substantial connection between PTTG1 expression and immune cell infiltration points to PTTG1’s possible role in the tumour microenvironment. High PTTG1 expression is associated with tumour immunotherapy resistance. The process could be connected to PTTG1, which mediates T cell exhaustion and promotes cytotoxic T lymphocyte malfunction. Furthermore, PTTG1 was found to be substantially linked with sensitivity to several anticancer medications. Suppressing PTTG1 with siRNA reduced clone formation and migration, implying that PTTG1 may play a role in paclitaxel resistance.ConclusionPTTG1 shows potential as a cancer diagnostic, prognostic, and chemosensitivity marker. Increased PTTG1 expression is linked to resistance to cancer treatment. The mechanism could be linked to PTTG1’s role in promoting cytotoxic T lymphocyte dysfunction and mediating T cell exhaustion. It is feasible to consider PTTG1, which is expressed on Treg and Tprolif cells, as a new therapeutic target for overcoming immunotherapy resistance.

Dependence of PAX3-FOXO1 chromatin occupancy on ETS1 at important disease-promoting genes exposes new targetable vulnerability in Fusion-Positive Rhabdomyosarcoma

AbstractRhabdomyosarcoma (RMS), a malignancy of impaired myogenic differentiation, is the most common soft tissue pediatric cancer. PAX3-FOXO1 oncofusions drive the majority of the clinically more aggressive fusion-positive rhabdomyosarcoma (FP-RMS). Recent studies have established an epigenetic basis for PAX3-FOXO1-driven oncogenic processes. However, details of PAX3-FOXO1 epigenetic mechanisms, including interactions with, and dependence on, other chromatin and transcription factors, are incompletely understood. We previously identified a novel disease-promoting epigenetic axis in RMS, involving the histone demethylase KDM3A and the ETS1 transcription factor, and demonstrated that this epigenetic axis interfaces with PAX3-FOXO1 both phenotypically and transcriptomically, including co-regulation of biological processes and genes important to FP-RMS progression. In this study, we demonstrate that KDM3A and ETS1 colocalize with PAX3-FOXO1 to enhancers of important disease-promoting genes in FP-RMS, including FGF8, IL4R, and MEST, as well as PODXL, which we define herein as a new FP-RMS-promoting gene. We show that ETS1, which is induced by both PAX3-FOXO1 and KDM3A, exists in complex with PAX3-FOXO1, and augments PAX3-FOXO1 chromatin occupancy. We further show that the PAX3-FOXO1/ETS1 complex can be disrupted by the clinically relevant small molecule inhibitor YK-4-279. YK-4-279 displaces PAX3-FOXO1 from chromatin and interferes with PAX3-FOXO1-dependent gene regulation, resulting in potent inhibition of growth and invasive properties in FP-RMS, along with downregulation of FGF8, IL4R, MEST and PODXL expression. We additionally show that, in some FP-RMS, KDM3A also increases PAX3-FOXO1 levels. Together, our studies illuminate mechanisms of action of the KDM3A/ETS1 regulatory module, and reveal novel targetable mechanisms of PAX3-FOXO1 chromatin complex regulation, in FP-RMS.

Genetic analysis using next-generation sequencing and multiplex ligation probe amplification in Chinese aniridia patients

BackgroundCongenital aniridia is a rare pan-ocular disease characterized by complete irideremia, partial iridocoloboma. The progressive nature of aniridia is frequently accompanied by secondary ocular complications such as glaucoma and aniridia-associated keratopathy, which can lead to severely impaired vision or blindness. The genetic basis of aniridia has been the subject of numerous studies, leading to the development of innovative therapeutic options based on PAX6 nonsense mutations. Specific knowledge of the genetics of aniridia has become increasingly important. To report the clinical features, elucidate the genetic etiology, and reveal the mutational spectrum of congenital aniridia in the Chinese population, sixty patients with congenital aniridia from 51 families were recruited. Candidate genes associated with developmental eye diseases were identified and analyzed using panel-based next-generation sequencing (NGS), and mutations were confirmed through polymerase chain reaction and Sanger sequencing. Multiplex ligation probe amplification (MLPA) of PAX6 and FOXC1 was performed to detect copy number variations in the patients without intragenic mutations.ResultsClinical examination revealed complete iris hypoplasia in 58 patients and partial iris hypoplasia in two patients. Additionally, two patients were diagnosed with Wilms’ tumor-aniridia-genital anomalies-retardation syndrome and nephroblastoma. By combining panel-based NGS and MLPA, 43 intragenic mutations or deletions of PAX6, FOXC1, and BCOR were identified in 59 patients, including 33 point mutations (76.7%) in 43 patients and 10 deletions (23.3%) in 16 patients. The total detection rate was 98.3%. Phenotypic variation was observed between and within families.ConclusionsVariations in PAX6 and its adjacent regions were the predominant causes of aniridia in China. In addition to intragenic point mutations in PAX6, deletion of PAX6 or its adjacent genes is a common cause of congenital aniridia. Furthermore, FOXC1 is an important gene associated with congenital aniridia. The combination of panel-based NGS and MLPA significantly enhanced the detection rate of gene mutations in patients with congenital aniridia.

Convergent reductive evolution in bee-associated lactic acid bacteria.

Distantly related organisms may evolve similar traits when exposed to similar environments or engaging in certain lifestyles. Several members of the Lactobacillaceae [lactic acid bacteria (LAB)] family are frequently isolated from the floral niche, mostly from bees and flowers. In some floral LAB species (henceforth referred to as bee-associated LAB), distinctive genomic (e.g., genome reduction) and phenotypic (e.g., preference for fructose over glucose or fructophily) features were recently documented. These features are found across distantly related species, raising the hypothesis that specific genomic and phenotypic traits evolved convergently during adaptation to the floral environment. To test this hypothesis, we examined representative genomes of 369 species of bee-associated and non-bee-associated LAB. Phylogenomic analysis unveiled seven independent ecological shifts toward the bee environment in LAB. In these species, we observed significant reductions of genome size, gene repertoire, and GC content. Using machine leaning, we could distinguish bee-associated from non-bee-associated species with 94% accuracy, based on the absence of genes involved in metabolism, osmotic stress, or DNA repair. Moreover, we found that the most important genes for the machine learning classifier were seemingly lost, independently, in multiple bee-associated lineages. One of these genes, acetaldehyde-alcohol dehydrogenase (adhE), encodes a bifunctional aldehyde-alcohol dehydrogenase which has been associated with the evolution of fructophily, a rare phenotypic trait that is pervasive across bee-associated LAB species. These results suggest that the independent evolution of distinctive phenotypes in bee-associated LAB has been largely driven by independent losses of the same sets of genes.IMPORTANCESeveral LAB species are intimately associated with bees and exhibit unique biochemical properties with potential for food applications and honeybee health. Using a machine learning-based approach, our study shows that adaptation of LAB to the bee environment was accompanied by a distinctive genomic trajectory deeply shaped by gene loss. Several of these gene losses occurred independently in distantly related species and are linked to some of their unique biotechnologically relevant traits, such as the preference for fructose over glucose (fructophily). This study underscores the potential of machine learning in identifying fingerprints of adaptation and detecting instances of convergent evolution. Furthermore, it sheds light onto the genomic and phenotypic particularities of bee-associated bacteria, thereby deepening the understanding of their positive impact on honeybee health.

Elucidating macrophage scavenger receptor 1's mechanistic contribution as a shared molecular mediator in obesity and thyroid cancer pathogenesis via bioinformatics analysis.

Obesity is a disease characterized by the excessive accumulation of fat. Concurrently, thyroid carcinoma (THCA) stands as the foremost endocrine malignancy. Despite the observed escalation in concurrent prevalence of both conditions, the underlying interconnections remain elusive. This indicates the need to identify potential biomarkers to predict the pathways through which obesity and THCA coexist. The study employed a variety of methods, including differential gene expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), and gene enrichment analysis. It was also supplemented with immunohistochemical data from the Human Protein Atlas (HPA), advanced machine learning techniques, and related experiments such as qPCR, to identify important pathways and key genes shared between obesity and THCA. Through differential gene expression analysis, WGCNA, and machine learning methods, we identified three biomarkers (IL6R, GZMB, and MSR1) associated with obesity. After validation analysis using THCA-related datasets and biological experiments, we selected Macrophage Scavenger Receptor 1 (MSR1) as a key gene for THCA analysis. The final analysis revealed that MSR1 is closely related to the degree of immune cell infiltration in patients with obesity and THCA, suggesting that this gene may be a potential intervention target for both obesity and THCA. Our research indicates that MSR1 may influence the occurrence and development of obesity and THCA by regulating the infiltration level of immune cells. This lays the foundation for future research on targeted therapies based on their shared mechanisms.

Analysis of mRNA expression profile in the treatment of diabetic foot ulcer healing by tibial cortex transverse distraction

To investigate mRNA Expression profile and associated signaling pathways in the treatment of diabetic foot ulcer healing by tibial cortex transverse distraction. Tissue samples were collected from the wound edge before and after the surgery. After reference genome transcriptome sequencing and subsequent bioinformatics analysis, the differentially expressed genes and related pathways were explored, and functional analysis of important genes and pathways was conducted. qRT-PCR was used to verify the significantly expressed genes-HLA-DRB1, HLA-DRB5, CXCL5 and IGFL1. There were 2441 significantly up-regulated and 3904 significantly down-regulated genes in the postoperative group. The qRT-PCR results showed the expression of HLA-DRB1, HLA-DRB5 and CXCL5 was consistent with the transcriptional sequencing results. CXCL5 and CXCL6 differentially up-regulated genes are involved in the process of neovascularization, and HLA-DRB1 is involved in the improvement of the degree of diabetic peripheral nerve degeneration. Pathway analysis showed that differential genes were most significantly enriched in Adherens junction, Inflammatory mediator regulation of TRP channels and Wnt signaling pathway. Inflammatory mediator regulation of TRP channels is involved in the improvement of peripheral neurodegeneration, VEGF signaling pathway is involved in the process of neovascularization, and Wnt signaling pathway is involved in the process of bone healing. Significantly up-regulated CXCL5 and CXCL6 and enriched VEGF signaling pathway analyzed are involved in postoperative lower limb neovascularization. The HLA-DRB1 and the enriched Inflammatory mediator regulation of TRP channels may be related to the improvement of postoperative peripheral neurodegeneration. The differentially expressed genes and related pathways can provide objective basis for further mechanism study.

Divergent regulation of long non-coding RNAs H19 and PURPL affects cell senescence in human dermal fibroblasts.

Cellular senescence is a permanent cell growth arrest that occurs in response to various intrinsic and extrinsic stimuli and is associated with cellular and molecular changes. Long non-coding RNAs (lncRNAs) are key regulators of cellular senescence by affecting the expression of many important genes involved in senescence-associated pathways and processes. Here, we evaluated a panel of lncRNAs associated with senescence for their differential expression between young and senescent human dermal fibroblasts (NHDFs) and studied the effect of a known senomorphic compound, resveratrol, on the expression of lncRNAs in senescent NHDFs. As markers of senescence, we evaluated cell growth, senescence-associated (SA)-β-Gal staining, and the expression of p21, Lamin B1 and γH2AX. We found that H19 and PURPL were the most altered lncRNAs in replicative, in doxorubicin (DOXO) and ionising radiation (IR)-induced senescence models. We then investigated the function of H19 and PURPL in cell senescence by siRNA-mediated silencing in young and senescent fibroblasts, respectively. Our results showed that H19 knockdown reduced cell viability and induced cell senescence and autophagy of NHDFs through the regulation of the PI3K/AKT/mTOR pathway; conversely, PURPL silencing reversed senescence by reducing (SA)-β-Gal staining, recovering cell proliferation with an increase of S-phase cells, and reducing the p53-dependent DNA damage response. Overall, our data highlighted the role of H19 and PURPL in the senescent phenotype and suggested that these lncRNAs may have important implications in senescence-related diseases.

Molecular mechanisms of resistance and new therapeutic approaches in the treatment of colorectal cancer - a review of the literature

CRC occupies one of the leading positions among gastrointestinal malignancies and is a significant problem in Europe since it is the third most frequently diagnosed cancer. Recent developments in diagnostic techniques have led to higher chances of early diagnosis and survival; nevertheless, CRC is highly likely to relapse in the survivorably younger individuals. The importance of the current chemotherapy treatment and potential key therapeutic targets are identified in this review so that the molecular alterations causing drug resistance in CRC can be studied.Current literature formed the basis of this review by reviewing the molecular processes that underlie CRC, with emphasis on the mutational alterations in genes such as SENP1, KRAS, APC, TP53, and BRAF that play critical roles in CRC and resistance to treatment. Chemotherapy for CRC, targeting therapies, and immuno therapies have been discussed particularly with reference to their effectiveness for treatment and overcoming resistance.Genomic alterations in some important genes are involved in the onset of CRC and also determined the response to therapies. The KRAS mutations are associated with the resistance to EGFR inhibitors; however, BRAF mutations require BRAF/MEK inhibitors. Lack of MMR system SSR as a trigger for MSI-H status suggests a better response to immunotherapies. In addition, new molecules including SENP1, which involved the DNA repair pathway, and combination using CDK4/6 inhibitors are currently under development to overcome resistance and enhance the patients’ benefits.Colorectal cancer is still a problem, primarily because of its genetic character and high rates of recurrence. Even though chemotherapy and targeted therapies offer helpful results, the problem of resistance stands in the way. Subsequent studies should aim at symptomatic treatment outcomes and combine different drugs in order to enhance long-term treatment outcomes.