Decoding the Transcriptional Complexity of the Human BRCA2 DNA Repair Gene Using Hybrid-seq Panagiotis G. Adamopoulos, Michaela A. Boti, Konstantina Athanasopoulou, Panagiotis Tsiakanikas, Glykeria N. Daneva, Andreas Scorilas Biochemical Genetics, 2026 BRCA2 plays a pivotal role in DNA repair and tumor suppression, with its dysregulation linked to breast and gynecological cancers. Despite the importance of BRCA2, its transcriptional complexity remains poorly understood due to the gene's size and intricate alternative splicing patterns. This study aims to comprehensively characterize the BRCA2 transcriptional landscape in breast, ovarian, and cervical cancers using a hybrid sequencing approach. A novel hybrid-seq method combining long-read nanopore sequencing and short-read NGS was applied to analyze BRCA2 transcripts from cancerous cell lines. Expression patterns were evaluated using the transcript-per-million (TPM) normalization method, and open reading frames (ORFs) of the identified transcripts were in silico characterized. Sequencing analysis led to the identification of 50 novel splice variants (BRCA2 sv.7–sv.56), expanding the known transcript repertoire of BRCA2 gene. Notably, transcript variants sv.9, sv.15, and sv.49 exhibited significant expression in breast and ovarian cancers, while others, such as sv.29 and sv.40, were specific to individual cancer types. Five cryptic exons (N1–N5) were unveiled, contributing to 10 unique splice variants. In silico analysis revealed that 19 novel transcripts retained coding potential, with some encoding BRCA2 isoforms harboring key functional domains. The identification of novel BRCA2 transcripts underscores the complexity of its regulation in cancer. These findings provide insights into the gene's potential role in tumorigenesis and highlight candidates for targeted therapies and diagnostic biomarkers.
Identification of Novel Alternative Transcripts of the Human ALKBH Gene Family and Investigation of Their Unique Expression Signatures in Cancer Cells Konstantina Athanasopoulou, Vasiliki-Ioanna Michalopoulou, Panagiotis Tsiakanikas, Andreas Scorilas, Panagiotis G. Adamopoulos Current Issues in Molecular Biology, 2026 The human ALKBH gene family comprises nine Fe2+/α-ketoglutarate-dependent dioxygenases that catalyze the oxidative demethylation of DNA, RNA, and proteins, thereby influencing key cellular processes. Consequently, dysregulation of these enzymes has been implicated in various human diseases, particularly cancer. Although the transcriptomic profiles of certain members (e.g., ALKBH8, FTO) have been characterized, a comprehensive analysis of the entire ALKBH family remains unclear. In the present study, we investigated the alternative splice variants of the ALKBH genes through direct RNA sequencing across cancerous and non-cancerous cell lines. Novel splicing events were validated by NGS, while RT-qPCR was employed to assess transcript abundance and expression patterns. Additionally, in silico analysis was performed to predict the coding potential of the detected transcripts. Results: Bioinformatics analysis revealed previously uncharacterized alternative transcripts for the human ALKBH gene family members. Expression profiling demonstrated distinct expression patterns between cancerous and non-malignant cells, suggesting a potential role of these demethylases in tumor biology. The investigation of their coding capacity revealed that most of the newly detected transcripts were predicted to encode protein isoforms, highlighting the structural and predicted coding potential of the ALKBH family. Conclusions: Our findings provide the first comprehensive overview of the transcriptional diversity within the human ALKBH gene family. These results enhance our understanding of the demethylation mechanisms and their dysregulation in cancer.
A versatile type VI CRISPR-based approach for targeted m6A demethylation in mRNAs Panagiotis G. Adamopoulos, Konstantina Athanasopoulou, Andreas Scorilas Genome Research, 2026 Epitranscriptomics, a rapidly evolving field mainly driven by massive parallel sequencing technologies, explores post-transcriptional RNA modifications. N 6 -methyladenosine (m 6 A) has emerged as the most prominent and dynamically regulated modification in human mRNAs, being implicated in the regulation of diverse biological processes, including spermatogenesis, heat shock response, ultraviolet-induced DNA damage response and maternal mRNA clearance. Despite the recognized significance of m 6 A in mRNA regulation, limited studies have focused on the targeted and efficient manipulation of this modification in mRNAs. Here, we present Dem6A-Vec, an “all-in-one” plasmid vector designed for site-specific m 6 A demethylation in human mRNAs. Dem6A-Vec integrates the expression of a catalytically inactive RfxCas13d fused to the m 6 A demethylase ALKBH5 and a U6-driven customizable guide RNA in a single construct, simplifying experimental workflows and enhancing targeting efficiency. Using nanopore direct RNA sequencing, we identify high-confident m 6 A sites in HeLa cells, which serve as targets for Dem6A-Vec. We validate the targeted demethylation of m 6 A sites in the EEF2 and RRAGA genes using the established SELECT-qPCR method, confirming the impacts on mRNA stability and highlighting the tool's precision and versatility. The presented approach is implemented in multiple mRNA sites with diverse methylation stoichiometries, underscoring its adaptability to various transcriptomic contexts. This study provides a robust and scalable method for investigating the functional roles of m 6 A modifications, offering a transformative platform for advancing epitranscriptomic research and potential therapeutic applications.
Exploring the m5C epitranscriptome of mRNAs in breast cancer cells through genome engineering and long-read sequencing approaches Konstantina Athanasopoulou, Panagiotis G. Adamopoulos, Panagiotis Tsiakanikas, Andreas Scorilas Functional and Integrative Genomics, 2025 Epitranscriptomics has emerged as a rapidly evolving field that focused on studying post-transcriptional RNA modifications and their role in spatiotemporal regulation of gene expression. N6-methyladenosine (m6A) and 5-methylcytosine (m5C) represent the most extensively studied modifications on mRNAs. These reversible modifications, mediated by ‘writer,’ ‘eraser,’ and ‘reader’ proteins, dynamically fine-tune mRNA stability, splicing, and translation. Growing evidence links their dysregulation to pathological states, including cancer progression and metastasis, where their aberrant deposition on oncogenes or tumor suppressors alters cellular signaling and therapeutic responses. In the current study, we present a detailed analysis of the m5C epitranscriptomic landscape across distinct breast cancer molecular subtypes. Using CRISPR/Cas9, we confirm NSUN2 as a key m5C writer in human mRNAs. NSUN2 loss was validated by targeted sequencing and Western blotting. Furthermore, we demonstrate the regulatory effects of NSUN2 on its canonical mRNA targets, revealing its critical role in maintaining proper gene expression networks. Our findings strongly suggest that additional m5C writers contribute to m5C methylation machinery. Additionally, we assessed the functional impact of NSUN2 depletion on mRNAs harboring m5C sites using mRNA stability assays. Furthermore, our analysis revealed distinct m5C methylation patterns among breast cancer subtypes, highlighting unique m5C signatures associated with the disease. Notably, we identified specific hypomethylated and hypermethylated m5C sites in each breast cancer cell line, representing a universal m5C methylation signature for breast cancer. Our study constitutes the first comprehensive m5C epitranscriptomic atlas in human breast cancer and paves the way for future research aimed at developing targeted therapeutic interventions that leverage the m5C methylation landscape.
Integrating Artificial Intelligence in Next-Generation Sequencing: Advances, Challenges, and Future Directions Konstantina Athanasopoulou, Vasiliki-Ioanna Michalopoulou, Andreas Scorilas, Panagiotis G. Adamopoulos Current Issues in Molecular Biology, 2025 The integration of artificial intelligence (AI) into next-generation sequencing (NGS) has revolutionized genomics, offering unprecedented advancements in data analysis, accuracy, and scalability. This review explores the synergistic relationship between AI and NGS, highlighting its transformative impact across genomic research and clinical applications. AI-driven tools, including machine learning and deep learning, enhance every aspect of NGS workflows—from experimental design and wet-lab automation to bioinformatics analysis of the generated raw data. Key applications of AI integration in NGS include variant calling, epigenomic profiling, transcriptomics, and single-cell sequencing, where AI models such as CNNs, RNNs, and hybrid architectures outperform traditional methods. In cancer research, AI enables precise tumor subtyping, biomarker discovery, and personalized therapy prediction, while in drug discovery, it accelerates target identification and repurposing. Despite these advancements, challenges persist, including data heterogeneity, model interpretability, and ethical concerns. This review also discusses the emerging role of AI in third-generation sequencing (TGS), addressing long-read-specific challenges, like fast and accurate basecalling, as well as epigenetic modification detection. Future directions should focus on implementing federated learning to address data privacy, advancing interpretable AI to improve clinical trust and developing unified frameworks for seamless integration of multi-modal omics data. By fostering interdisciplinary collaboration, AI promises to unlock new frontiers in precision medicine, making genomic insights more actionable and scalable.
Deciphering the m6A Epitranscriptomic Landscape of mRNAs in Breast Cancer Cells Konstantina Athanasopoulou, Panagiotis G. Adamopoulos, Panagiotis Tsiakanikas, Glykeria N. Daneva, Ioannis Prassas, George M. Yousef, Eleftherios P. Diamandis, Andreas Scorilas Molecular and Cellular Biology, 2025 N6-methyladenosine (m6A), the most prevalent modification in mRNAs, influences mRNA stability, splicing, and translation. Dysregulation of m6A patterns has been linked to various diseases, including cancer, highlighting its significance in cellular homeostasis. However, accurate detection and precise quantification of m6A sites within individual transcripts remains challenging. In this study, we employed nanopore sequencing to achieve transcriptome-wide, base-resolution map of the m6A methylome in human breast cancer cells. By investigating m6A distribution across breast cancer cell lines and implementing a CRISPR/Cas9-based knockout of the major m6A eraser ALKBH5, we provide insights into the differential methylation levels and motif-specific characteristics of m6A transcriptomic sites. We elucidated the m6A epitranscriptome in five well-established breast cancer cell lines derived from distinct molecular subtypes of the disease and confirmed a DRACH-dependent activity of ALKBH5. Comparative methylation analysis with the non-cancerous MCF-10A cell line revealed that MCF-7 and BT-474 breast cancer cells are primarily hypomethylated, while BT-20, MDA-MB-231 and SK-BR-3 cells show widespread hypermethylation. These cell line-based patterns highlight the potential regulatory role of m6A in breast cancer heterogeneity. Overall, our findings enhance the understanding of m6A dynamics in breast cancer.
Beyond the Chromosome: Recent Developments in Decoding the Significance of Extrachromosomal Circular DNA (eccDNA) in Human Malignancies Panagiotis Tsiakanikas, Konstantina Athanasopoulou, Ioanna A. Darioti, Vasiliki Taxiarchoula Agiassoti, Stamatis Theocharis, Andreas Scorilas, Panagiotis G. Adamopoulos Life, 2024 Extrachromosomal circular DNA (eccDNA) is a form of a circular double-stranded DNA that exists independently of conventional chromosomes. eccDNA exhibits a broad and random distribution across eukaryotic cells and has been associated with tumor-related properties due to its ability to harbor the complete gene information of oncogenes. The complex and multifaceted mechanisms underlying eccDNA formation include pathways such as DNA damage repair, breakage–fusion–bridge (BFB) mechanisms, chromothripsis, and cell apoptosis. Of note, eccDNA plays a pivotal role in tumor development, genetic heterogeneity, and therapeutic resistance. The high copy number and transcriptional activity of oncogenes carried by eccDNA contribute to the accelerated growth of tumors. Notably, the amplification of oncogenes on eccDNA is implicated in the malignant progression of cancer cells. The improvement of high-throughput sequencing techniques has greatly enhanced our knowledge of eccDNA by allowing for a detailed examination of its genetic structures and functions. However, we still lack a comprehensive and efficient annotation for eccDNA, while challenges persist in the study and understanding of the functional role of eccDNA, emphasizing the need for the development of robust methodologies. The potential clinical applications of eccDNA, such as its role as a measurable biomarker or therapeutic target in diseases, particularly within the spectrum of human malignancies, is a promising field for future research. In conclusion, eccDNA represents a quite dynamic and multifunctional genetic entity with far-reaching implications in cancer pathogenesis and beyond. Further research is essential to unravel the molecular pathways of eccDNA formation, elucidate its functional roles, and explore its clinical applications. Addressing these aspects is crucial for advancing our understanding of genomic instability and developing novel strategies for tailored therapeutics, especially in cancer.
Small RNA-seq and clinical evaluation of tRNA-derived fragments in multiple myeloma: Loss of mitochondrial i-tRFHisGTG results in patients' poor treatment outcome Konstantinos Soureas, Maria‐Alexandra Papadimitriou, Panagiotis Malandrakis, Aristea‐Maria Papanota, Panagiotis G. Adamopoulos, Ioannis Ntanasis‐Stathopoulos, Christine‐Ivy Liacos, Maria Gavriatopoulou, Diamantis C. Sideris, Efstathios Kastritis, Meletios‐Athanasios Dimopoulos, Andreas Scorilas, Evangelos Terpos, Margaritis Avgeris British Journal of Haematology, 2024 SummaryDespite the substantial progress in multiple myeloma (MM) therapy nowadays, treatment resistance and disease relapse remain major clinical hindrances. Herein, we have investigated tRNA‐derived fragment (tRF) profiles in MM and precursor stages (smoldering MM/sMM; monoclonal gammopathy of undetermined significance/MGUS), aiming to unveil potential MM‐related tRFs in ameliorating MM prognosis and risk stratification. Small RNA‐seq was performed to profile tRFs in bone marrow CD138+ plasma cells, revealing the significant deregulation of the mitochondrial internal tRFHisGTG (mt‐i‐tRFHisGTG) in MM versus sMM/MGUS. The screening cohort of the study consisted of 147 MM patients, and mt‐i‐tRFHisGTG levels were quantified by RT‐qPCR. Disease progression was assessed as clinical end‐point for survival analysis, while internal validation was performed by bootstrap and decision curve analyses. Screening cohort analysis highlighted the potent association of reduced mt‐i‐tRFHisGTG levels with patients' bone disease (p = 0.010), osteolysis (p = 0.023) and with significantly higher risk for short‐term disease progression following first‐line chemotherapy, independently of patients' clinical data (HR = 1.954; p = 0.036). Additionally, mt‐i‐tRFHisGTG‐fitted multivariate models led to superior risk stratification of MM patients' treatment outcome and prognosis compared to disease‐established markers. Notably, our study highlighted mt‐i‐tRFHisGTG loss as a powerful independent indicator of post‐treatment progression of MM patients, leading to superior risk stratification of patients' treatment outcome.
miRNA-seq identification and clinical validation of CD138+ and circulating miR-25 in treatment response of multiple myeloma Maria-Alexandra Papadimitriou, Konstantinos Soureas, Aristea-Maria Papanota, Panagiotis Tsiakanikas, Panagiotis G. Adamopoulos, Ioannis Ntanasis-Stathopoulos, Panagiotis Malandrakis, Maria Gavriatopoulou, Diamantis C. Sideris, Efstathios Kastritis, Margaritis Avgeris, Meletios-Athanasios Dimopoulos, Evangelos Terpos, Andreas Scorilas Journal of Translational Medicine, 2023
SARS-CoV-2 wastewater surveillance data can predict hospitalizations and ICU admissions Aikaterini Galani, Reza Aalizadeh, Marios Kostakis, Athina Markou, Nikiforos Alygizakis, Theodore Lytras, Panagiotis G. Adamopoulos, Jordan Peccia, David C. Thompson, Aikaterini Kontou, Apostolos Karagiannidis, Evi S. Lianidou, Margaritis Avgeris, Dimitrios Paraskevis, Sotirios Tsiodras, Andreas Scorilas, Vasilis Vasiliou, Meletios-Athanasios Dimopoulos, Nikolaos S. Thomaidis Science of the Total Environment, 2022
Analytical methodologies for the detection of SARS-CoV-2 in wastewater: Protocols and future perspectives Nikiforos Alygizakis, Athina N. Markou, Nikolaos I. Rousis, Aikaterini Galani, Margaritis Avgeris, Panagiotis G. Adamopoulos, Andreas Scorilas, Evi S. Lianidou, Dimitrios Paraskevis, Sotirios Tsiodras, Athanassios Tsakris, Meletios-Athanasios Dimopoulos, Nikolaos S. Thomaidis Trac Trends in Analytical Chemistry, 2021
Pediatric ependymoma: A proteomics perspective George Th. Tsangaris, Chrissa Papathanasiou, Panagiotis G. Adamopoulos, Andreas Scorilas, Constantinos E. Vorgias, et al. Cancer Genomics and Proteomics, 2017
Molecular biomarkers of laryngeal cancer Christos K. Kontos, Panagiotis G. Adamopoulos, Andreas Scorilas Biomarkers in Disease Methods Discoveries and Applications Biomarkers in Cancer, 2015
RECENT SCHOLAR PUBLICATIONS
Identification of Novel Alternative Transcripts of the Human ALKBH Gene Family and Investigation of Their Unique Expression Signatures in Cancer Cells K Athanasopoulou, VI Michalopoulou, P Tsiakanikas, A Scorilas, ... Current Issues in Molecular Biology 48 (3), 251 , 2026 2026
A versatile type VI CRISPR-based approach for targeted m 6 A demethylation in mRNAs. PG Adamopoulos, K Athanasopoulou, A Scorilas Genome research 36 (1), 169-182 , 2026 2026 Citations: 1
Deciphering the m6A Epitranscriptomic Landscape of mRNAs in Breast Cancer Cells K Athanasopoulou, PG Adamopoulos, P Tsiakanikas, GN Daneva, ... Molecular and Cellular Biology 45 (12), 660-679 , 2025 2025 Citations: 1
Exploring the m 5 C epitranscriptome of mRNAs in breast cancer cells through genome engineering and long-read sequencing approaches K Athanasopoulou, PG Adamopoulos, P Tsiakanikas, A Scorilas Functional & Integrative Genomics 25 (1), 136 , 2025 2025 Citations: 2
Long non-coding RNA (lncRNA) expression signatures distinguish drug response phenotypes in multiple myeloma cell line models K Athanasopoulou, PG Adamopoulos, I Ntanasis-Stathopoulos, ... Blood 146, 7467 , 2025 2025
Decoding the Transcriptional Complexity of the Human BRCA2 DNA Repair Gene Using Hybrid-seq PG Adamopoulos, MA Boti, K Athanasopoulou, P Tsiakanikas, ... Biochemical Genetics, 1-24 , 2025 2025 Citations: 1
Integrating artificial intelligence in next-generation sequencing: advances, challenges, and future directions K Athanasopoulou, VI Michalopoulou, A Scorilas, PG Adamopoulos Current Issues in Molecular Biology 47 (6), 470 , 2025 2025 Citations: 54
Characterization of novel ACE2 mRNA transcripts: The potential role of alternative splicing in SARS-CoV-2 infection PG Adamopoulos, N Bartzoka, P Tsiakanikas, A Scorilas Gene 936, 149092 , 2025 2025 Citations: 1
Unraveling novel mRNA transcripts of the human DNA N-glycosylase 1 (NTHL1) gene with the implementation of an innovative targeted DNA-seq assay MA Diamantopoulos, PG Adamopoulos, P Tsiakanikas, T Nisotakis, ... Gene 930, 148856 , 2024 2024
Small non-coding RNAs as diagnostic, prognostic and predictive biomarkers of gynecological cancers: an update MA Diamantopoulos, PG Adamopoulos, A Scorilas Expert Review of Molecular Diagnostics 24 (11), 979-995 , 2024 2024 Citations: 5
Kallikrein-related peptidases: mechanistic understanding for potential therapeutic targeting in cancer GN Daneva, P Tsiakanikas, PG Adamopoulos, A Scorilas Expert Opinion on Therapeutic Targets 28 (10), 875-894 , 2024 2024 Citations: 8
New insights into the dynamics of m6A epitranscriptome: Hybrid-seq identifies novel mRNAs of the m6A writers METTL3/14 K Athanasopoulou, PG Adamopoulos, A Scorilas Epigenomics 16 (17), 1159-1174 , 2024 2024 Citations: 1
Beyond the chromosome: recent developments in decoding the significance of extrachromosomal circular DNA (eccDNA) in human malignancies P Tsiakanikas, K Athanasopoulou, IA Darioti, VT Agiassoti, S Theocharis, ... Life 14 (8), 922 , 2024 2024 Citations: 5
Genome editing: Current approaches and the road ahead in cancer research and therapeutics K Athanasopoulou, GN Daneva, PG Adamopoulos, A Scorilas Cancer Immunology and Genetics: An Interdisciplinary Approach, 675-703 , 2024 2024 Citations: 2
Small RNA‐seq and clinical evaluation of tRNA‐derived fragments in multiple myeloma: Loss of mitochondrial i‐tRF HisGTG results in patients' poor treatment … K Soureas, MA Papadimitriou, P Malandrakis, AM Papanota, ... British Journal of Haematology 204 (5), 1790-1800 , 2024 2024 Citations: 9
Spike-Seq: an amplicon-based high-throughput sequencing approach for the sensitive detection and characterization of SARS-CoV-2 genetic variations in environmental samples PG Adamopoulos, MA Diamantopoulos, MA Boti, A Zafeiriadou, A Galani, ... Science of The Total Environment 914, 169747 , 2024 2024 Citations: 4
Personalized epigenetics of DNA methylation in cancer PG Adamopoulos, P Tsiakanikas, A Scorilas Personalized Epigenetics, 401-427 , 2024 2024
Hybrid-seq deciphers the complex transcriptional profile of the human BRCA1 DNA repair associated gene PG Adamopoulos, K Athanasopoulou, MA Boti, G Dimitroulis, GN Daneva, ... RNA biology 20 (1), 281-295 , 2023 2023 Citations: 5
Loss of Mir-221/222 Cluster Expression Results in Short-Term Disease Progression and Poor Post-Treatment Outcome in Multiple Myeloma K Soureas, C Minopoulos, MA Papadimitriou, P Malandrakis, ... Blood 142 (Supplement 1), 3353-3353 , 2023 2023 Citations: 1
P-401 MiRNA-seq and clinical validation of miR-221/222 cluster in multiple myeloma C Minopoulos, K Soureas, MA Papadimitriou, I Ntanasis-Stathopoulos, ... Clinical Lymphoma Myeloma and Leukemia 23, S262 , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Third-generation sequencing: the spearhead towards the radical transformation of modern genomics K Athanasopoulou, MA Boti, PG Adamopoulos, PC Skourou, A Scorilas Life 12 (1), 30 , 2021 2021 Citations: 308
SARS-CoV-2 wastewater surveillance data can predict hospitalizations and ICU admissions A Galani, R Aalizadeh, M Kostakis, A Markou, N Alygizakis, T Lytras, ... Science of The Total Environment 804, 150151 , 2022 2022 Citations: 212
Analytical methodologies for the detection of SARS-CoV-2 in wastewater: Protocols and future perspectives N Alygizakis, AN Markou, NI Rousis, A Galani, M Avgeris, ... TrAC Trends in Analytical Chemistry 134, 116125 , 2021 2021 Citations: 126
Artificial intelligence: the milestone in modern biomedical research K Athanasopoulou, GN Daneva, PG Adamopoulos, A Scorilas BioMedInformatics 2 (4), 727-744 , 2022 2022 Citations: 92
Integrating artificial intelligence in next-generation sequencing: advances, challenges, and future directions K Athanasopoulou, VI Michalopoulou, A Scorilas, PG Adamopoulos Current Issues in Molecular Biology 47 (6), 470 , 2025 2025 Citations: 54
Unveiling the human gastrointestinal tract microbiome: the past, present, and future of metagenomics K Athanasopoulou, PG Adamopoulos, A Scorilas Biomedicines 11 (3), 827 , 2023 2023 Citations: 49
Recent advances in genome-engineering strategies MA Boti, K Athanasopoulou, PG Adamopoulos, DC Sideris, A Scorilas Genes 14 (1), 129 , 2023 2023 Citations: 47
miR-224 overexpression is a strong and independent prognosticator of short-term relapse and poor overall survival in colorectal adenocarcinoma PG Adamopoulos, CK Kontos, SM Rapti, IN Papadopoulos, A Scorilas International journal of oncology 46 (2), 849-859 , 2015 2015 Citations: 44
Prognostic and predictive biomarkers in prostate cancer CK Kontos, PG Adamopoulos, A Scorilas Expert Review of Molecular Diagnostics 15 (12), 1567-1576 , 2015 2015 Citations: 41
mRNA overexpression of kallikrein-related peptidase 14 (KLK14) is an independent predictor of poor overall survival in chronic lymphocytic leukemia patients CK Kontos, PG Adamopoulos, SG Papageorgiou, V Pappa, A Scorilas Clinical Chemistry and Laboratory Medicine (CCLM) 54 (2), 315-324 , 2016 2016 Citations: 36
A novel, mitochondrial, internal tRNA-derived RNA fragment possesses clinical utility as a molecular prognostic biomarker in chronic lymphocytic leukemia P Karousi, PG Adamopoulos, SG Papageorgiou, V Pappa, A Scorilas, ... Clinical Biochemistry 85, 20-26 , 2020 2020 Citations: 34
Identification of novel alternative splice variants of the BCL2L12 gene in human cancer cells using next-generation sequencing methodology PG Adamopoulos, CK Kontos, P Tsiakanikas, A Scorilas Cancer letters 373 (1), 119-129 , 2016 2016 Citations: 34
A versatile 5′ RACE-Seq methodology for the accurate identification of the 5′ termini of mRNAs PG Adamopoulos, P Tsiakanikas, I Stolidi, A Scorilas BMC genomics 23 (1), 163 , 2022 2022 Citations: 33
KLKB1 mRNA overexpression: A novel molecular biomarker for the diagnosis of chronic lymphocytic leukemia PG Adamopoulos, CK Kontos, SG Papageorgiou, V Pappa, A Scorilas Clinical biochemistry 48 (13-14), 849-854 , 2015 2015 Citations: 30
High Expression of a tRNA Pro Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence P Tsiakanikas, PG Adamopoulos, D Tsirba, PI Artemaki, IN Papadopoulos, ... Biomedicines 10 (5), 1120 , 2022 2022 Citations: 29
Quantitative analysis and study of the mRNA expression levels of apoptotic genes BCL2, BAX and BCL2L12 in the articular cartilage of an animal model of osteoarthritis A Kourtis, PG Adamopoulos, A Papalois, DC Iliopoulos, GC Babis, ... Annals of translational medicine 6 (12), 243 , 2018 2018 Citations: 29
Discovery of novel transcripts of the human tissue kallikrein (KLK1) and kallikrein-related peptidase 2 (KLK2) in human cancer cells, exploiting Next-Generation Sequencing … PG Adamopoulos, CK Kontos, A Scorilas Genomics 111 (4), 642-652 , 2019 2019 Citations: 28
Heat shock protein beta 3 ( HSPB3 ) is an unfavorable molecular biomarker in colorectal adenocarcinoma MA Kalioraki, PI Artemaki, AD Sklirou, CK Kontos, PG Adamopoulos, ... Molecular carcinogenesis 59 (1), 116-125 , 2020 2020 Citations: 26
Mining microarray data to identify transcription factors expressed in naive resting but not activated T lymphocytes C Argyropoulos, GC Nikiforidis, M Theodoropoulou, P Adamopoulos, ... Genes & Immunity 5 (1), 16-25 , 2004 2004 Citations: 25
miRNA-seq and clinical evaluation in multiple myeloma: miR-181a overexpression predicts short-term disease progression and poor post-treatment outcome MA Papadimitriou, AM Papanota, PG Adamopoulos, KM Pilala, CI Liacos, ... British journal of cancer 126 (1), 79 , 2021 2021 Citations: 24