M
Mattias Rantalainen
Researcher at Karolinska Institutet
Publications - 76
Citations - 5817
Mattias Rantalainen is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 28, co-authored 66 publications receiving 4780 citations. Previous affiliations of Mattias Rantalainen include Imperial College London & University of Oxford.
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Journal ArticleDOI
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification†
Max Bylesjö,Mattias Rantalainen,Olivier Cloarec,Jeremy K. Nicholson,Elaine Holmes,Johan Trygg +5 more
TL;DR: In this paper, class-orthogonal variation can be exploited to augment classificaiton analysis (OPLS-DA) for the purpose of discriminant analysis, and the OPLS method can be used to augment classification.
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Symbiotic gut microbes modulate human metabolic phenotypes
Min Li,Baohong Wang,Menghui Zhang,Mattias Rantalainen,Shengyue Wang,Haokui Zhou,Yan Zhang,Jian Shen,Xiaoyan Pang,Meiling Zhang,Hua Wei,Yu Chen,Haifeng Lu,Jian Zuo,Mingming Su,Yunping Qiu,Wei Jia,Chaoni Xiao,Leon M. Smith,Shengli Yang,Elaine Holmes,Huiru Tang,Guoping Zhao,Jeremy K. Nicholson,Lanjuan Li,Liping Zhao +25 more
TL;DR: The approach for understanding the dynamic basis of host–microbiome symbiosis provides a foundation for the development of functional metagenomics as a probe of systemic effects of drugs and diet that are of relevance to personal and public health care solutions.
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Reprogramming Tumor-Associated Macrophages by Antibody Targeting Inhibits Cancer Progression and Metastasis
Anna-Maria Georgoudaki,Kajsa E. Prokopec,Vanessa F. Boura,Eva Hellqvist,Silke Sohn,Jeanette Östling,Rony Dahan,Robert A. Harris,Mattias Rantalainen,Daniel Klevebring,Malin Sund,Suzanne Egyhazi Brage,Jonas Fuxe,Charlotte Rolny,Fubin Li,Fubin Li,Jeffrey V. Ravetch,Mikael C. I. Karlsson +17 more
TL;DR: It is found that the pattern recognition scavenger receptor MARCO defines a subtype of suppressive TAMs and is linked to clinical outcome, and it is demonstrated that immunotherapies using antibodies designed to modify myeloid cells of the TME represent a promising mode of cancer treatment.
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
Peter Ström,Kimmo Kartasalo,Henrik Olsson,Leslie Solorzano,Brett Delahunt,Daniel M. Berney,David G. Bostwick,Andrew Evans,David J. Grignon,Peter A. Humphrey,Kenneth A. Iczkowski,James G. Kench,Glen Kristiansen,Theodorus van der Kwast,Katia R. M. Leite,Jesse K. McKenney,Jon Oxley,Chin Chen Pan,Hemamali Samaratunga,John R. Srigley,Hiroyuki Takahashi,Toyonori Tsuzuki,Murali Varma,Ming Zhou,Johan Lindberg,Cecilia Lindskog,Pekka Ruusuvuori,Carolina Wählby,Henrik Grönberg,Mattias Rantalainen,Lars Egevad,Martin Eklund +31 more
TL;DR: An artificial intelligence system can be trained to detect and grade cancer in prostate needle biopsy samples at a ranking comparable to that of international experts in prostate pathology.
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Top-Down Systems Biology Modeling of Host Metabotype−Microbiome Associations in Obese Rodents
Alison Waldram,Elaine Holmes,Yulan Wang,Mattias Rantalainen,Ian D. Wilson,Kieran Tuohy,Anne L. McCartney,Glenn R. Gibson,Jeremy Nicholson +8 more
TL;DR: Data suggest a conditional host genetic involvement in selection of the microbial species in each host strain, and that both lean and obese animals could have specific metabolic phenotypes that are linked to their individual microbiomes.