Functional & Integrative Genomics最新文献

{"title":"Non-coding RNA notations, regulations and interactive resources.","authors":"Mengwei Cheng, Yinhuan Zhu, Han Yu, Linlin Shao, Yiming Zhang, Lanxing Li, Haohong Tu, Luyao Xie, Haoyu Chao, Peijing Zhang, Saige Xin, Cong Feng, Vladimir Ivanisenko, Yuriy Orlov, Dijun Chen, Aloysius Wong, Yixin Eric Yang, Ming Chen","doi":"10.1007/s10142-024-01494-w","DOIUrl":"https://doi.org/10.1007/s10142-024-01494-w","url":null,"abstract":"<p><p>An increasing number of non-coding RNAs (ncRNAs) are found to have roles in gene expression and cellular regulations. However, there are still a large number of ncRNAs whose functions remain to be studied. Despite decades of research, the field continues to evolve, with each newly identified ncRNA undergoing processes such as biogenesis, identification, and functional annotation. Bioinformatics methodologies, alongside traditional biochemical experimental methods, have played an important role in advancing ncRNA research across various stages. Presently, over 50 types of ncRNAs have been characterized, each exhibiting diverse functions. However, there remains a need for standardization and integration of these ncRNAs within a unified framework. In response to this gap, this review traces the historical trajectory of ncRNA research and proposes a unified notation system. Additionally, we comprehensively elucidate the ncRNA interactome, detailing its associations with DNAs, RNAs, proteins, complexes, and chromatin. A web portal named ncRNA Hub ( https://bis.zju.edu.cn/nchub/ ) is also constructed to provide detailed notations of ncRNAs and share a collection of bioinformatics resources. This review aims to provide a broader perspective and standardized paradigm for advancing ncRNA research.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"24 6","pages":"217"},"PeriodicalIF":3.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can nanotechnology and genomics innovations trigger agricultural revolution and sustainable development?","authors":"Arzish Javaid,&nbsp;Sadaf Hameed,&nbsp;Lijie Li,&nbsp;Zhiyong Zhang,&nbsp;Baohong Zhang,&nbsp;Mehboob-ur -Rahman","doi":"10.1007/s10142-024-01485-x","DOIUrl":"10.1007/s10142-024-01485-x","url":null,"abstract":"<div><p>At the dawn of new millennium, policy makers and researchers focused on sustainable agricultural growth, aiming for food security and enhanced food quality. Several emerging scientific innovations hold the promise to meet the future challenges. Nanotechnology presents a promising avenue to tackle the diverse challenges in agriculture. By leveraging nanomaterials, including nano fertilizers, pesticides, and sensors, it provides targeted delivery methods, enhancing efficacy in both crop production and protection. This integration of nanotechnology with agriculture introduces innovations like disease diagnostics, improved nutrient uptake in plants, and advanced delivery systems for agrochemicals. These precision-based approaches not only optimize resource utilization but also reduce environmental impact, aligning well with sustainability objectives. Concurrently, genetic innovations, including genome editing and advanced breeding techniques, enable the development of crops with improved yield, resilience, and nutritional content. The emergence of precision gene-editing technologies, exemplified by CRISPR/Cas9, can transform the realm of genetic modification and enabled precise manipulation of plant genomes while avoiding the incorporation of external DNAs. Integration of nanotechnology and genetic innovations in agriculture presents a transformative approach. Leveraging nanoparticles for targeted genetic modifications, nanosensors for early plant health monitoring, and precision nanomaterials for controlled delivery of inputs offers a sustainable pathway towards enhanced crop productivity, resource efficiency, and food safety throughout the agricultural lifecycle. This comprehensive review outlines the pivotal role of nanotechnology in precision agriculture, emphasizing soil health improvement, stress resilience against biotic and abiotic factors, environmental sustainability, and genetic engineering.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"24 6","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10142-024-01485-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-course RNA sequencing reveals high similarity in mRNAome between hepatic stellate cells activated by agalactosyl IgG and TGF-β1","authors":"Chieh Kao,&nbsp;Cheng-Hsun Ho","doi":"10.1007/s10142-024-01502-z","DOIUrl":"10.1007/s10142-024-01502-z","url":null,"abstract":"<div><p>Previous studies have demonstrated the clinical relevance of aberrant serum immunoglobulin G (IgG) <i>N</i>-glycomic profiles in liver fibrosis and the pathogenic effects of agalactosyl IgG on activating hepatic stellate cells (HSCs). However, the dynamics of gene expression changes during HSC activation by agalactosyl IgG remain poorly understood. We performed RNA sequencing to analyze the mRNAome of human LX-2 HSCs at multiple time points after treatment with agalactosyl IgG and then compared these results with those obtained after normal IgG and transforming growth factor (TGF)-β1 treatments. Gene expression changes were significantly pronounced on day 5 and subsided by day 11 after HSC activation. A high degree of similarity in gene expression patterns between HSCs treated with agalactosyl IgG and TGF-β1 was observed, of which 1796 and 1785 differentially expressed genes (DEGs) were identified, respectively. Disease ontology analyses revealed that 114 and 105 DEGs in activated HSCs following agalactosyl IgG and TGF-β1 treatments, respectively, were linked to liver cirrhosis, hepatitis, fatty liver disease, hepatitis B, and alcoholic hepatitis, with <i>CCL5</i> and <i>FAS</i> being the most commonly affected genes. DEGs associated with liver fibrosis or aforementioned liver diseases involved in gene annotation, physiological functions, and signaling pathways regarding secretion of cytokines and chemokines, expression of fibrosis-related growth factors and their receptors, modification of extracellular matrices, and regulation of cell viability in activated HSCs. In conclusion, this study characterized the dynamics of mRNAome and gene networks and identified the liver fibrosis-related DEGs during HSC activation by agalactosyl IgG and TGF-β1.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"24 6","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"pSATdb 2.0: a database of organellar common, polymorphic, and unique microsatellites","authors":"Sonu Kumar,&nbsp;Asheesh Shanker,&nbsp;Dinesh Gupta","doi":"10.1007/s10142-024-01498-6","DOIUrl":"10.1007/s10142-024-01498-6","url":null,"abstract":"<div><p>Microsatellites, or simple sequence repeats (SSRs), are repetitive DNA sequences typically composed of 1–6 nucleotides. These repetitive sequences are found in almost all genomes, including chloroplasts and mitochondria, and are widely distributed throughout the genomes. Microsatellites are highly polymorphic, and their length may differ from species to species. Consequently, microsatellites are widely used as molecular markers and play pivotal roles in various biological research. However, comprehensive information about the length variation of microsatellites in various organellar genome sequences is not available. Therefore, to provide mined information and explore the variability in the length of microsatellites across species, we developed a comprehensive resource named pSATdb 2.0 (<b>p</b>olymorphic micro<b>SAT</b>ellites <b>d</b>ata<b>b</b>ase; https://bioinfo.icgeb.res.in/psatdb/). This upgraded version of its predecessor pSATdb provides comprehensive information on the frequency and distribution of 348,894 microsatellites identified in organellar genome sequences. These sequences originate from 15,681 organisms spanning 3252 genera within Metazoa and Viridiplantae. Remarkably, pSATdb 2.0 is the only database that offers information on common and polymorphic microsatellites detected between organisms, along with unique microsatellites specific to each genus. Furthermore, this database features unrestricted access and includes pioneer functionalities such as Advanced Search, BLAST, and JBrowse, which facilitate user-specific microsatellite search and its visualization within the database. The pSATdb holds immense potential for the research community to support diverse studies, including genetic diversity, genetic mapping, marker-assisted selection, and comparative population investigations.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"24 6","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BHLHE40-mediated transcriptional activation of GRIN2D in gastric cancer is involved in metabolic reprogramming","authors":"Bin Liu,&nbsp;Yuanlin Sun,&nbsp;Wei Wang,&nbsp;Jun Ren,&nbsp;Daorong Wang","doi":"10.1007/s10142-024-01495-9","DOIUrl":"10.1007/s10142-024-01495-9","url":null,"abstract":"<div><p>Gastric cancer (GC) is the third leading cause of death in developed countries. The reprogramming of energy metabolism represents a hallmark of cancer, particularly amplified dependence on aerobic glycolysis. Here, we aimed to illustrate the functional role of glutamate ionotropic receptor N-methyl-D-aspartate type subunit 2D (GRIN2D) in the regulation of glycolysis in GC and the mechanisms involved. Differentially expressed genes were analyzed using the GEO and GEPIA databases, followed by prognostic value prediction using the Kaplan-Meier Plotter database. The effect of GRIN2D knockdown on the malignant behavior and glycolysis of GC cells was explored. GRIN2D expression was upregulated in GC cells and promoted the malignant behavior of GC cells by activating glycolysis. Class E basic helix-loop-helix protein 40 (BHLHE40) was overexpressed in GC cells and mediated transcriptional activation of GRIN2D. The anti-tumor effects of BHLHE40 knockdown on GC cells in vitro and in vivo were reversed by GRIN2D overexpression. Knockdown of GRIN2D or BHLHE40 downregulated the expression of mRNA of electron transport chain subunits and phosphorylation of p38 MARK and inhibited calcium efflux in GC cells. Overexpression of GRIN2D promoted calcium efflux, phosphorylation of p38 MARK protein, and proliferation of GES1 cells. Altogether, the findings derived from this study suggest that BHLHE40 knockdown suppresses the growth, mobility, and glycolysis of GC cells by inhibiting GRIN2D transcription and disrupting the BHLHE40/GRIN2D axis may be an attractive therapeutic strategy for GC.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"24 6","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"De novo transcriptome sequencing of drought tolerance–associated genes in little millet (Panicum sumatrense L.)","authors":"Dhawale Ramesh Narayanrao,&nbsp;R. S. Tomar,&nbsp;Padhiyar SM,&nbsp;Kheni Jasminkumar,&nbsp;Gulwe Ashish,&nbsp;Nitin Mahendra Chauhan,&nbsp;Suresh Chandra Singh,&nbsp;Vijay Upadhye,&nbsp;Mohammed Kuddus,&nbsp;Laxmikant Kamble,&nbsp;Sunil Tulshiram Hajare","doi":"10.1007/s10142-023-01221-x","DOIUrl":"10.1007/s10142-023-01221-x","url":null,"abstract":"<div><p>The genome size of the little millet <i>Panicum sumatrense</i> is unknown, although its genome is fairly diploid (2n = 4x = 36). Despite tremendous nutritional value and adaptability to adverse climatic conditions, <i>P. sumatrense</i> use was limited by their low palatability, coarse grain, and lack of variety of culinary preparations. Hence, understanding how to vary their usage to offer food and nutritional security in the continuously changing modern world, the proposed study was aimed to determine potential genes and metabolites implicated in drought resistance. The drought-resistant genotype of tiny millet OLM-203/Tarini was offered in pots under both relaxed and demanding circumstances. The experimental seedlings were 32 days old and had been under water stress for 23 days. A total of 7606 genes were compared between 23 and 32 days for roots and 7264 total genes were compared between 23 and 32 days for leaves, according to a research on differential expression genes (DEGs). Twenty essential genes for drought tolerance were up-or down-regulated in the control and treated roots of the OLM-203 genotype. For instance, the genes RS193 and XB34 were up-regulated in leaves while, WLIM1 was found to be down-regulated. Gene SKI35 was up-regulated in roots, whereas MPK6 and TCMOp1 were down-regulated in root samples. The roots and leaves of the tiny millet OLM-203 genotype expressed 36 up-regulated and 21 down-regulated serine transcripts, respectively. Gene annotations for leaf samples were classified as having “molecular function” (46%), “cellular component” (19%), and “biological process” (35%), while root sample gene annotations were categorized as having “biological process” (573 contigs), “molecular function” (401 contigs), and “cellular components” (166 contigs). Noteworthy, polyamines play a crucial role in drought stress tolerance in the genotype, and it was found that top ten DEGs encoding for polyamines were common in two tissues (leaf and root). Collectively, transcriptomics profiling (RNA-seq) unveiled transcriptional stability drought stress provide a new insight in underlying modus of operandi in little millet genotype “OLM-203/Tarini” in response to heat stress.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"23 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10312526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel artificial intelligence approach to detect the breast cancer using KNNet technique with EPM gene profiling","authors":"Shubham Joshi,&nbsp;N. V. S. Natteshan,&nbsp;Ravi Rastogi,&nbsp;A. Sampathkumar,&nbsp;V. Pandimurugan,&nbsp;S. Sountharrajan","doi":"10.1007/s10142-023-01227-5","DOIUrl":"10.1007/s10142-023-01227-5","url":null,"abstract":"<div><p>Women’s most frequent type of cancer is breast cancer, second only to lung cancer. This paper summarizes changes in genomics and epigenetics and incremental biological activities. A tumour develops through a series of phases involving a separate abnormal gene. Even though many diseases cause DNA mutations, most treatments are designed to relieve symptoms rather than change the DNA. Clustering short palindromic repeats (CRISPR) or Cas9 is the primary approach for discovering and confirming tumorigenic genomic targets. A Kohonen neural network with an expression programming model was developed for gene selection. The main problem in genetic selection is reducing the number of features chosen while maintaining accuracy. This purpose is accomplished systematically. In the end, the approach method performed better than the existing quantum squirrel-inspired algorithm and the recurrent neural network oppositional call search algorithm for genetic selection. The KNNet-EPM model used an expression programming approach to identify gene biomarkers for breast cancer. This method was achieved with RAE of 42%, sensitivity of 93%, f1 score of 88%, accuracy of 98%, kappa score of 83%, specificity of 92% and MAE of 30%.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"23 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10307549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcription factor Dp-1 knockdown downregulates thymidine kinase 1 expression to protect against proliferation and epithelial-mesenchymal transition in cervical cancer","authors":"Mei Wu,&nbsp;Mingji Ye","doi":"10.1007/s10142-023-01218-6","DOIUrl":"10.1007/s10142-023-01218-6","url":null,"abstract":"<div><h2>Abstract </h2><div><p>Thymidine kinase 1 (TK1) level is an independent survival prognostic factor for both premalignant and malignant cervical pathologies. Herein, this study sought to probe the impacts of TK1 on cervical cancer (CC) progression and its underlying mechanism. Transcription factor Dp-1 (TFDP1) and TK1 expression was assessed using qRT-PCR in CC cell lines. After ectopic expression and knockdown experiments, cell counting kit-8 and colony formation assays were adopted to measure cell proliferation, western blot to examine the expression of epithelial-mesenchymal transition (EMT)-related proteins, and Transwell assays to assess cell invasion and migration. The binding of TFDP1 to TK1 was predicted by bioinformatic sites and verified by chromatin immunoprecipitation and dual-luciferase reporter assays. Tumor xenograft experiments in nude mice were performed to validate the influence of TFDP1/TK1 on CC progression in vivo. CC cells had high TK1 and TFDP1 expression. TFDP1 or TK1 knockdown restrained CC cell EMT, invasion, migration, and proliferation. TFDP1 facilitated TK1 expression in CC via transcription. Overexpression of TK1 counteracted the suppressive impacts of TFDP1 knockdown on CC cell malignant behaviors. Moreover, TFDP1 knockdown depressed CC growth in vivo by downregulating TK1. TFDP1 knockdown restricted proliferation and EMT in CC by downregulating TK1 expression.</p></div></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"23 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10633553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-cell transcriptome analysis revealing the intratumoral heterogeneity of ccRCC and validation of MT2A in pathogenesis","authors":"Jie Wang,&nbsp;Zili Zuo,&nbsp;Zongze Yu,&nbsp;Zhigui Chen,&nbsp;Xiangdi Meng,&nbsp;Zhaosen Ma,&nbsp;Jiqiang Niu,&nbsp;Rui Guo,&nbsp;Lisa Jia Tran,&nbsp;Jing Zhang,&nbsp;Tianxiao Jiang,&nbsp;Fangdie Ye,&nbsp;Baoluo Ma,&nbsp;Zhou Sun","doi":"10.1007/s10142-023-01225-7","DOIUrl":"10.1007/s10142-023-01225-7","url":null,"abstract":"<div><p>Clear-cell renal cell carcinoma (ccRCC) appears as the most common type of kidney cancer, the carcinogenesis of which has not been fully elucidated. Tumor heterogeneity plays a crucial role in cancer progression, which could be largely deciphered by the implement of scRNA-seq. The bulk and single-cell RNA expression profile is obtained from TCGA and study conducted by Young et al. We utilized UMAP, TSNE, and clustering algorithm Louvain for dimensionality reduction and FindAllMarkers function for determining the DEGs. Monocle2 was utilized to perform pseudo-time series analysis. SCENIC was implemented for transcription factor analysis of each cell subgroup. A series of WB, CFA, CCK-8, and EDU analysis was utilized for the validation of the role of MT2A in ccRCC carcinogenesis. We observed higher infiltration of T/NK and B cells in tumorous tissues, indicating the role of immune cells in ccRCC carcinogenesis. Transcription factor analysis revealed the activation of EOMES and ETS1 in CD8 + T cells, while CAFs were divided into myo-CAFs and i-CAFs, with i-CAFs showing distinct enrichment of ATF3, JUND, JUNB, EGR1, and XBP1. Through cell trajectory analysis, we discerned three distinct stages of cellular evolution, where State2 symbolizes normal renal tubular cells that underwent transitions into State1 and State3 as the CNV score ascended. Functional enrichment examination revealed an amplification of interferon gamma and inflammatory response pathways within tumor cells. The consensus clustering algorithm yielded two molecular subtypes, with cluster 2 being associated with advanced tumor stages and an abundance of infiltrated immune cells. We identified 17 prognostic genes through Cox and LASSO regression models and used them to construct a prognostic model, the efficacy of which was verified in multiple cohorts. Furthermore, we investigated the role of MT2A, one of our hub genes, in ccRCC carcinogenesis, and found it to regulate proliferation and migration of malignant cells. We depicted a detailed single-cell landscape of ccRCC, with special focus on CAFs, endothelial cells, and renal tubular cells. A prognostic model of high stability and accuracy was constructed based on the DEGs. MT2A was found to be actively implicated in ccRCC carcinogenesis, regulating proliferation and migration of the malignant cells.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"23 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10285340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next-generation sequencing reveals altered gene expression and enriched pathways in triple-negative breast cancer cells treated with oleuropein and oleocanthal","authors":"Paraskevi Karousi,&nbsp;Christos K. Kontos,&nbsp;Panagiota Papakotsi,&nbsp;Ioannis K. Kostakis,&nbsp;Alexios-Leandros Skaltsounis,&nbsp;Andreas Scorilas","doi":"10.1007/s10142-023-01230-w","DOIUrl":"10.1007/s10142-023-01230-w","url":null,"abstract":"<div><p>Triple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by poor prognosis and limited treatment options. Oleuropein and oleocanthal are bioactive chemicals found in extra-virgin olive oil; they have been shown to have anti-cancer potential. In this study, we examined the inhibitory effects of these two natural compounds, on MDA-MB-231 and MDA-MB-468 TNBC cell lines. The human TNBC MDA-MB-231 and MDA-MB-468 cell lines were treated with oleuropein or oleocanthal at ranging concentrations for 48 h. After determining the optimum concentration to reach IC50, using the sulforhodamine B assay, total RNA was extracted after 12, 24, and 48 h from treated and untreated cells. Poly(A)-RNA selection was conducted, followed by library construction and RNA sequencing. Differential gene expression (DEG) analysis was performed to identify DEGs between treated and untreated cells. Pathway analysis was carried out using the KEGG and GO databases. Oleuropein and oleocanthal considerably reduced the proliferation of TNBC cells, with oleocanthal having a slightly stronger effect than oleuropein. Furthermore, multi-time series RNA sequencing showed that the expression profile of TNBC cells was significantly altered after treatment with these compounds, with temporal dynamics and groups of genes consistently affected at all time points. Pathway analysis revealed several significant pathways associated with TNBC, including cell death, apoptotic process, programmed cell death, response to stress, mitotic cell cycle process, cell division, and cancer progression. Our findings suggest that oleuropein and oleocanthal have potential therapeutic benefits for TNBC and can be further investigated as alternative treatment options.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"23 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501944/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10634128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}