Cancer stress biology - Latonen Lab

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Research group

01.01.2019 -

Institute of Biomedicine, School of Medicine, Faculty of Health Sciences

Faculty of Health Sciences

School of Medicine, Faculty of Health Sciences

Information People Publications

Leaders

Leena Latonen

Research Director

Institute of Biomedicine, School of Medicine, Faculty of Health Sciences

We study the molecular, cellular and tissue mechanisms that contribute to formation of cancer and cancer treatment resistance. We focus on the molecular mechanisms behind the increased ability of cancer cells to tolerate stress, for example when cancer cells to form resistance to drugs. We also query the cancer growth patterns in tissue combining this to molecular information in order to better understand the mechanisms behind cancer cells’ ability to survive in the crossfire of different stress types. In our tissue analysis collaboration projects we search for better ways to image, visualise and quantitatively analyse histology with development of digital pathology, machine learning and AI tools. Our research aims at developing better diagnostic tools and novel cancer treatments.

News

Researchers developed an AI-based method to replace chemical staining of tissue

Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based…

Researchers developed an AI-based method to replace chemical staining of tissue
Targeting nuclear size: a new approach to reduce metastasis?

For over 150 years, scientists have used changes in nuclear size prognostically, because such changes strongly correlate with increased metastasis for…

Targeting nuclear size: a new approach to reduce metastasis?
Academy of Finland grants funding to 12 Academy Projects in biosciences, health and environmental research at UEF

The Academy of Finland has granted funding to 12 Academy Projects in biosciences, health and environmental research at the University of Eastern…

Academy of Finland grants funding to 12 Academy Projects in biosciences, health and environmental research at UEF

Leaders

Leena Latonen

Research Director

Institute of Biomedicine, School of Medicine, Faculty of Health Sciences

Post-doctoral Researchers

Doctoral Researchers

Technicians

Johanna Kinnunen

Laboratory Coordinator

Institute of Biomedicine, School of Medicine, Faculty of Health Sciences

Supporting Staff

Other group members

Siiri Sirviö
Jenni Ruokolainen
Salla Takkinen
Kirsikka Wirtanen
Heshani Jayasuriya Arachchige Dona
Petra Taka-Eilola
Nathaniel Tetteh

Publications

38 items

Refine your search

Cancer stress biology - Latonen Lab

Leaders

Leena Latonen

News

Researchers developed an AI-based method to replace chemical staining of tissue

Targeting nuclear size: a new approach to reduce metastasis?

Academy of Finland grants funding to 12 Academy Projects in biosciences, health and environmental research at UEF

Leaders

Leena Latonen

Post-doctoral Researchers

Enkhzaya Batnasan

Annika Kohvakka

Doctoral Researchers

Sonja Koivukoski

Minttu Kärkkäinen

Hanqing Xia

Erika Aikio

Technicians

Johanna Kinnunen

Supporting Staff

Melina Tulonen

Maria Haapakoski

Other group members

A PEG-assisted membrane coating to prepare biomimetic mesoporous silicon for PET/CT imaging of triple-negative breast cancer

Long noncoding RNA EPCART regulates translation through PI3K/AKT/mTOR pathway and PDCD4 in prostate cancer

Platinum-based drugs induce phenotypic alterations in nucleoli and Cajal bodies in prostate cancer cells

RNA:han sitoutuvat proteiinit syövän lääkehoidossa ja -resistenssissä

Single cell and spatial transcriptomics highlight the interaction of club-like cells with immunosuppressive myeloid cells in prostate cancer

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

Virtuaalimaailma histologian oppimisen tukena

Virtuaalivärjäys mahdollistaa ympäristöystävällisempää histologiaa kemikaaleja vähentämällä

Virtual staining for histology by deep learning

A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics

Biomimetic Inorganic Nanovectors as Tumor-Targeting Theranostic Platform against Triple-Negative Breast Cancer

Complementary analysis of proteome‐wide proteomics reveals changes in RNA binding protein‐profiles during prostate cancer progression

Deep learning transforms colorectal cancer biomarker prediction from histopathology images

Deformation equivariant cross-modality image synthesis with paired non-aligned training data

Identification of long noncoding RNAs with aberrant expression in prostate cancer metastases

The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility

Unstained Tissue Imaging and Virtual Hematoxylin and Eosin Staining of Histologic Whole Slide Images

Chemical Interrogation of Nuclear Size Identifies Compounds with Cancer Cell Line-Specific Effects on Migration and Invasion

Nonmalignant AR-positive prostate epithelial cells and cancer cells respond differently to androgen

Nuclear Organization in Response to Stress: A Special Focus on Nucleoli

Nuclear size rectification: A potential new therapeutic approach to reduce metastasis in cancer

Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment

miR-32 promotes MYC-driven prostate cancer

A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery

Androgen-Driven Fusion Genes and Chimeric Transcripts in Prostate Cancer

Building a central repository landmarks a new era for artificial intelligence - assisted digital pathology development in Europe

Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns

Expression and ERG regulation of PIM kinases in prostate cancer

Proteomic Landscape of Prostate Cancer: The View Provided by Quantitative Proteomics, Integrative Analyses, and Protein Interactomes

Structure-based drug designing for N-methyl-D-aspartate receptor: Link between neurodegenerative disease and glioblastoma

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

AR and ERG drive the expression of prostate cancer specific long noncoding RNAs

Integrative proteomics of prostate cancer

3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer

Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks

Phase-to-Phase With Nucleoli - Stress Responses, Protein Aggregation and Novel Roles of RNA

Phosphorylation of NFATC1 at PIM1 target sites is essential for its ability to promote prostate cancer cell migration and invasion