Dimitrios Kleftogiannis

Senior Engineer, Senior Bioinformatician

E-maildimitrios.kleftogiannis@uib.no
Visitor Address
Haukeland Universitetssykehus Laboratoriebygget, 7. etg. Heis øst

5009 Bergen
Postal Address
Postboks 7804

5020 Bergen

I am senior bioinformatician working on the development and application of computational approaches to tackle emerging problems in the field of precision medicine. Currently I am co-leading the bioinformatics node of NeuroSys-Med Center of Excellence of the University of Bergen in Norway. I have experience in the analysis of omics datasets including Next Generation Sequencing data (genomics, transcriptomics and epigenomics), as well as single-cell data from CyTOF and IMC technologies. I have also successfully applied different machine learning techniques in biomarker discovery studies, in gene regulation studies, and in identifying and characterising DNA regulatory elements such as enhancers, promoters and microRNAs. Throughout my academic career I am actively involved in teaching activities and I have organised and lectured several bioinformatics courses.

Invited speaker at the Winter Enrichment Program (WEP) 2020, King Abdullah University of Science and Technology, lecture title: "Liquid Biopsies: Progress and Challenges in the New Era of Precision Oncology"
Video campaign about Improved Treatments of Acute Myeloid Leukemia (AML_PM project), Digital Life Norway 2021
A closer look at bacteria hijackers, publication featured by Nature Middle East
Improved characterization of genetic variation by machine-learning algorithm, publication featured by Nature Middle East

2023: Lecturer of the course NeuroSysM930, Applied boinformatics and data analysis in medical research, Department of Clinical Medicine, University of Bergen, Norway
2022: Lecturer and organiser of the course BINF200, Analysis of biological sequences and structures, Department of Informatics, University of Bergen, Norway
2021: Lecturer and organiser of the course Genomics for Precision Medicine, Topic: Introduction to DNA-Seq processing for cancer data – SNV detection and interpretation, Organised by NORBIS, Norway
2020 to now: Lecturer of cancer research courses, organised by the Centre for Cancer Biomarkers (CCBIO), University of Bergen, Norway. Topics:
1. CCBIO905: Computational methods for the analysis of mass cytometry imaging data
2. CCBIO906: Computational methods for copy number variation detection and data interpretation
2014-2015 Teaching assistant of MSc/PhD courses of the Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia

Academic article

Show author(s) (2023). LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. Bioinformatics Advances.
Show author(s) (2023). Hypoxia induced responses are reflected in the stromal proteome of breast cancer. Nature Communications. 1-16.
Show author(s) (2023). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. Nature Communications.

Show author(s) (2022). Neurogenesis and angiogenesis are associated features of aggressive breast cancer . bioRxiv.
Show author(s) (2022). Identifying predictors of survival in patients with leukemia using single-cell mass cytometry and machine learning. bioRxiv.
Show author(s) (2022). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. Research Square.
Show author(s) (2022). Development of an antibody panel for imaging mass cytometry to investigate cancer-associated fibroblast heterogeneity and spatial distribution in archival tissues. bioRxiv.

Show author(s) (2020). Genome-wide plasma DNA methylation features of metastatic prostate cancer. Journal of Clinical Investigation.
Show author(s) (2020). Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing. Scientific Reports.
Show author(s) (2020). Circulating Tumour DNA Sequencing Identifies a Genetic Resistance-Gap in Colorectal Cancers with Acquired Resistance to EGFR-Antibodies and Chemotherapy. Cancers.

Editorial

Show author(s) (2023). Editorial: Cancer evolution. Frontiers in Genetics.

Errata

Show author(s) (2023). Author Correction: Early response evaluation by single cell signaling profiling in acute myeloid leukemia (Nature Communications, (2023), 14, 1, (115), 10.1038/s41467-022-35624-4). Nature Communications.

More information in national current research information system (CRIStin)

Selected publications from last 5 years

Ehsani R, Jonassen I, Akslen A and Kleftogiannis D, LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies, Bioinformatics Advances, (2023), DOI: 10.1093/bioadv/vbad146
Kjølle S, Finne K, Birkeland E, Ardawatia V, Winge I, Aziz S, Knutsvik G, Wik E, Paulo JA, Vethe H, Kleftogiannis D, and Akslen LA, Hypoxia induced responses are reflected in the stromal proteome of breast cancer, Nature Communications, (2023), DOI: 10.1038/s41467-023-39287-7
Tislevoll BS, [...], Kleftogiannis D, [...], and Gjertsen BT, Early response evaluation by single cell signaling profiling in acute myeloid leukemia, Nature Communications, (2023), doi: 10.1038/s41467-022-35624-4
Zhu G, Guo A, [...], Kleftogiannis D, [...] and Anders Skanderup, Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden, Nature Communications, (2021), doi: https://doi.org/10.1038/s41467-021-22463-y
Kleftogiannis D, Ho D, […], and Ng S, Detection of genomic alterations in breast cancer with circulating free DNA sequencing, Scientific Reports, (2020), doi: 10.1038/s41598-020-72818-6.
Wu A, Cremaschi P, […], Kleftogiannis D, […] and Attard G, The plasma methylome of metastatic prostate cancer, Journal of Clinical Investigation, (2020), doi: 10.1172/JCI130887.
Yogev O, Almedia G, [...], Kleftogiannis D, [...], and Chesler L, In vivo modelling of chemo-resistant neuroblastoma provides new insights into chemo-refractory disease and metastatic progression, Cancer Research, (2019) ,doi:10.1158/0008-5472.CAN-18-2759.
Kleftogiannis D, Punta M, […], Lise S, Identification of single nucleotide variants using position-specific error estimation in deep sequencing data, BMC Medical Genomics, (2019), doi: 10.1186/s12920-019-0557-9.
Mansukhani S, Barber L, Kleftogiannis D, […] and Gerlinger M, Ultra-sensitive mutation detection and genome-wide DNA copy number reconstruction by error corrected circulating tumor DNA sequencing, Clinical Chemistry (2018), doi: 10.1373/clinchem.2018.289629.

I am currently involded in RAM-MS, a Randomized clinical trial comparing autologous stem cell transplantation versus treatment with alemtuzumab, cladribin or ocrelizumab in patients with relapsing remitting multiple sclerosis. I lead the bioinformatics analysis, and I am responsible for data depositon and management.

In the past I was involved in several precision oncology projects as a WP leader and senior bioinformatician:

2019 - 2022: University of Bergen, Project: "Improved Treatments of Acute Myeloid Leukaemias by Personalised Medicine (AML_PM)" funded by ERAPerMed.
2021 - 2023: University of Bergen, Project: “Hormone regulators and immune landscape in breast cancer of the young – signature biomarkers for improved diagnosis and outcome”, Funder: Helse Vest.
2021 - 2023: University of Bergen, Project: “Nerve involvement in breast cancer”, Funder: Norwegian Cancer Research Society.
2019 - Institute of Cancer Research (ICR) – Royal Marsden Cancer Hospital, Project“: CANCEREVO: Deciphering and predicting the evolution of cancer cell populations”, Funder: ERC funded (Consolidator Grant to M Gerlinger)
2018 - National Cancer Centre Singapore (SingHealth), Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Project: “CaLiBRe: Cancer Liquid Biopsy for Real-time diagnostics and early intervention”, Funder: A*STAR (National Liquid Biopsy program)

Fields of competence