Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rebecka Jornsten"'
Autor:
Ida Larsson, Felix Held, Gergana Popova, Alper Koc, Soumi Kundu, Rebecka Jörnsten, Sven Nelander
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Nervous system cancers exhibit diverse transcriptional cell states influenced by normal development, injury response, and growth. However, the understanding of these states’ regulation and pharmacological relevance remains limited. Here we
Externí odkaz:
https://doaj.org/article/4ec1fa55454340b1a41163e31467fa98
Autor:
Ida Larsson, Erika Dalmo, Ramy Elgendy, Mia Niklasson, Milena Doroszko, Anna Segerman, Rebecka Jörnsten, Bengt Westermark, Sven Nelander
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 9, Pp 1-19 (2021)
Abstract Tumor cell heterogeneity is a crucial characteristic of malignant brain tumors and underpins phenomena such as therapy resistance and tumor recurrence. Advances in single‐cell analysis have enabled the delineation of distinct cellular stat
Externí odkaz:
https://doaj.org/article/65c2adc5f7ff4fcfb10d205bdc3d16b7
Autor:
Elin Almstedt, Ramy Elgendy, Neda Hekmati, Emil Rosén, Caroline Wärn, Thale Kristin Olsen, Cecilia Dyberg, Milena Doroszko, Ida Larsson, Anders Sundström, Marie Arsenian Henriksson, Sven Påhlman, Daniel Bexell, Michael Vanlandewijck, Per Kogner, Rebecka Jörnsten, Cecilia Krona, Sven Nelander
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
We lack effective treatment for half of children with high-risk neuroblastoma. Here, the authors introduce an algorithm that can predict the effect of interventions on gene expression signatures associated with high disease processes and risk, and id
Externí odkaz:
https://doaj.org/article/9eefbf3ff5bb4e6b9e9c8aacbd9a935c
Autor:
Bergthor Björnsson, Carl Borrebaeck, Nils Elander, Thomas Gasslander, Danuta R. Gawel, Mika Gustafsson, Rebecka Jörnsten, Eun Jung Lee, Xinxiu Li, Sandra Lilja, David Martínez-Enguita, Andreas Matussek, Per Sandström, Samuel Schäfer, Margaretha Stenmarker, X. F. Sun, Oleg Sysoev, Huan Zhang, Mikael Benson, on behalf of the Swedish Digital Twin Consortium
Publikováno v:
Genome Medicine, Vol 12, Iss 1, Pp 1-4 (2019)
Abstract Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that ar
Externí odkaz:
https://doaj.org/article/813cc408ddb94ef6ad9e11849ee4ab05
Autor:
Eleftheria Alevronta, Viktor Skokic, Gail Dunberger, Cecilia Bull, Karin Bergmark, Rebecka Jörnsten, Gunnar Steineck
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0250004 (2021)
BackgroundThe study aims to determine possible dose-volume response relationships between the rectum, sigmoid colon and small intestine and the 'excessive mucus discharge' syndrome after pelvic radiotherapy for gynaecological cancer.Methods and mater
Externí odkaz:
https://doaj.org/article/fe668ca28ae54636ba6aed7cde1d0be7
Autor:
Johan Gustafsson, Felix Held, Jonathan L Robinson, Elias Björnson, Rebecka Jörnsten, Jens Nielsen
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0239495 (2020)
Cell-type specific gene expression profiles are needed for many computational methods operating on bulk RNA-Seq samples, such as deconvolution of cell-type fractions and digital cytometry. However, the gene expression profile of a cell type can vary
Externí odkaz:
https://doaj.org/article/2a59eb2ff267438495cba19c49e154ee
Autor:
Johan Gustafsson, Jonathan Robinson, Juan S Inda-Díaz, Elias Björnson, Rebecka Jörnsten, Jens Nielsen
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243360 (2020)
Single-cell RNA sequencing has become a valuable tool for investigating cell types in complex tissues, where clustering of cells enables the identification and comparison of cell populations. Although many studies have sought to develop and compare d
Externí odkaz:
https://doaj.org/article/19f756ebe70142529c4f10a2ab4efa37
Autor:
Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E M Nordling, Elin Nyman, Sylvie Schulze, Colm E Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005608 (2017)
Recent technological advancements have made time-resolved, quantitative, multi-omics data available for many model systems, which could be integrated for systems pharmacokinetic use. Here, we present large-scale simulation modeling (LASSIM), which is
Externí odkaz:
https://doaj.org/article/c0ad29057ed2460bbbc4385f78786537
Autor:
Rebecka Jörnsten, Tobias Abenius, Teresia Kling, Linnéa Schmidt, Erik Johansson, Torbjörn E M Nordling, Bodil Nordlander, Chris Sander, Peter Gennemark, Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander
Publikováno v:
Molecular Systems Biology, Vol 7, Iss 1, Pp 1-17 (2011)
Abstract DNA copy number aberrations (CNAs) are a hallmark of cancer genomes. However, little is known about how such changes affect global gene expression. We develop a modeling framework, EPoC (Endogenous Perturbation analysis of Cancer), to (1) de
Externí odkaz:
https://doaj.org/article/0e2102e73ff54336a2a3f99e692ca074
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e60480 (2013)
MicroRNAs (miRNAs) are endogenously expressed noncoding RNA molecules that are believed to regulate multiple neurobiological processes. Expression studies have revealed distinct temporal expression patterns in the developing rodent and porcine brain,
Externí odkaz:
https://doaj.org/article/071cfec7a84245f99ba059e7581287b6