Stem Cells in Translational Cancer Research

Background: The different fields of biotechnology can be classified by colors, as a "rainbow" methodology. In this sense, the red biotechnology, focused on the preservation of health, has been outstanding in helping to solve this challenge through the provision of technologies, including diagnostic kits, molecular diagnostics, vaccines, innovations in cancer research, therapeutic antibodies and stem cells. Objective: The main goal of this work is to highlight the different areas within the red Biotechnology. In this sense, we revised some patents regarding red biotechnology as examples to cover this subject. Methods: A literature search of patents was performed from the followings Patents Database: INPI, USPTO, Esp@cenet, WIPO and Google Patents. Results: Our analysis showed the following numbers from patents found: cancer research (8), diagnosis kit (9), vaccines (8), stem cells (9) and therapeutic antibodies (5), where the United States is the leader for most filled patents in Red Biotechnology. Conclusion: This mini-review has provided an update of some patents on Recent Patents in Red Biotechnology. As far as we know, this is the first mini-review report on Red Biotechnology based on patents.

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A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

International Journal of Molecular Sciences ◽

10.3390/ijms22062822 ◽

2021 ◽

Vol 22 (6) ◽

pp. 2822

Author(s):

Efstathios Iason Vlachavas ◽

Jonas Bohn ◽

Frank Ückert ◽

Sylvia Nürnberg

Keyword(s):

Cancer Research ◽

Clinical Information ◽

Disease Diagnosis ◽

Molecular Data ◽

Molecular Networks ◽

Biological Knowledge ◽

Omics Data ◽

Translational Cancer Research ◽

Using Data ◽

Biological Entities

Recent advances in sequencing and biotechnological methodologies have led to the generation of large volumes of molecular data of different omics layers, such as genomics, transcriptomics, proteomics and metabolomics. Integration of these data with clinical information provides new opportunities to discover how perturbations in biological processes lead to disease. Using data-driven approaches for the integration and interpretation of multi-omics data could stably identify links between structural and functional information and propose causal molecular networks with potential impact on cancer pathophysiology. This knowledge can then be used to improve disease diagnosis, prognosis, prevention, and therapy. This review will summarize and categorize the most current computational methodologies and tools for integration of distinct molecular layers in the context of translational cancer research and personalized therapy. Additionally, the bioinformatics tools Multi-Omics Factor Analysis (MOFA) and netDX will be tested using omics data from public cancer resources, to assess their overall robustness, provide reproducible workflows for gaining biological knowledge from multi-omics data, and to comprehensively understand the significantly perturbed biological entities in distinct cancer types. We show that the performed supervised and unsupervised analyses result in meaningful and novel findings.

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Working with Human Tissues for Translational Cancer Research

Journal of Visualized Experiments ◽

10.3791/53189 ◽

2015 ◽

Author(s):

Alexandre Reuben ◽

Vancheswaran Gopalakrishnan ◽

Heidi E. Wagner ◽

Christine N. Spencer ◽

Jacob Austin-Breneman ◽

...

Keyword(s):

Cancer Research ◽

Human Tissues ◽

Translational Cancer Research

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A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens

Cancer Research ◽

10.1158/0008-5472.can-15-1973 ◽

2015 ◽

Vol 75 (24) ◽

pp. 5194-5201 ◽

Cited By ~ 17

Author(s):

Rebecca S. Jacobson ◽

Michael J. Becich ◽

Roni J. Bollag ◽

Girish Chavan ◽

Julia Corrigan ◽

...

Keyword(s):

Cancer Research ◽

Clinical Data ◽

Translational Cancer Research

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The Leeuwenhoek Lecture, 1978 Bacteria as proper subjects for cancer research

Proceedings of the Royal Society of London Series B Biological Sciences ◽

10.1098/rspb.1980.0046 ◽

1980 ◽

Vol 208 (1171) ◽

pp. 121-133 ◽

Cited By ~ 9

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Cancer Research ◽

Mammalian Cells ◽

Cell Renewal ◽

Epigenetic Alterations ◽

Cell Lineages ◽

Abnormal Cells ◽

Kinetics Of

Cancers are clones of abnormal cells, arising presumably as the result of mutational or epigenetic alterations of gene expression. The kinetics of appearance of spontaneous cancers in populations of multiplying cells (i. e. the relation between age and cancer incidence) will therefore depend, among other things, on how these populations are organized and, in general, on the kinetics of the response of cells to prolonged mutagenesis. The organization of cell renewal in epithelia (i. e. the arrangement of cell lineages) is still rather obscure; in particular, it is not known to what extent the properties and organization of the stem cells tend to protect them from accumulating mutations. We have tried to mimic the arrangement of epithelia by attaching multiplying bacteria to filters. Study of mutagenesis in long-term cultures of such anchored bacteria has led to the discovery of some additional pathways for DNA repair which also appear to operate in mammalian cells.

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