Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jakob Willforss"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Background Visual exploration of gene product behavior across multiple omic datasets can pinpoint technical limitations in data and reveal biological trends. Still, such exploration is challenging as there is a need for visualizations that a
Externí odkaz:
https://doaj.org/article/8d196063a86046959dfca0a6a194a96c
Publikováno v:
BMC Genetics, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract Background The changing climate and the desire to use renewable oil sources necessitate the development of new oilseed crops. Field cress (Lepidium campestre) is a species in the Brassicaceae family that has been targeted for domestication n
Externí odkaz:
https://doaj.org/article/606541917c0b495698acac3d2cad4644
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary Figure S2. Related to Figure 4. Intratumor heterogeneity is less prominent than intertumor heterogeneity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4018df4322af6c9a89af7822237d8445
https://doi.org/10.1158/0008-5472.22420524.v1
https://doi.org/10.1158/0008-5472.22420524.v1
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary Table S6. Related to Figure 4. Top 1000 varying genes based on SD across all samples derived from Patient/PDOX #5. Supplementary Table S7. Related to Figure 4. List of enriched Gene Ontology terms by cluster derived from the gene cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ba8c0944323b5846ea82c083c26c41
https://doi.org/10.1158/0008-5472.22420509
https://doi.org/10.1158/0008-5472.22420509
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary Table S1. Related to Figure 1. List of all somatic mutations detected in patient tumors, and in PDOXs from low and high in vivo generations. Supplementary Table S2. Related to Figure 2. List of all chromosomal copy number changes in pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170164e0409beb1d8df63dd22cf38554
https://doi.org/10.1158/0008-5472.22420515.v1
https://doi.org/10.1158/0008-5472.22420515.v1
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary Table S3. Related to Figure 3. Gene ontology for genes with higher expression in patient tumors vs. PDOXs. Supplementary Table S4. Related to Figure 3. List of the gene clusters defined across PDOXs #1-5 obtained from serial orthotopic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29d7af7cc66a30f2125e47178a99b41b
https://doi.org/10.1158/0008-5472.22420512
https://doi.org/10.1158/0008-5472.22420512
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary Table S8. Related to Figure 5. List of top varying peptides based on SD across all samples derived from Patient/PDOX #5. Supplementary Table S9. Related to Figure 5. List of top varying phospho-peptides based on SD across all samples de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d78c9a3f7bb038a48393f9af552373
https://doi.org/10.1158/0008-5472.22420506.v1
https://doi.org/10.1158/0008-5472.22420506.v1
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Patient-derived xenografts (PDX) and the Avatar, a single PDX mirroring an individual patient, are emerging tools in preclinical cancer research. However, the consequences of intratumor heterogeneity for PDX modeling of biomarkers, target identificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a5e6a262fb28d83691cc35be7e3650
https://doi.org/10.1158/0008-5472.c.6510675.v1
https://doi.org/10.1158/0008-5472.c.6510675.v1
Autor:
Daniel Bexell, Sven Påhlman, David Gisselsson, Tommy Martinsson, Jan Koster, Jenny Karlsson, Rosa Noguera, Ana P. Berbegall, Javanshir Esfandyari, Siv Beckman, Anna Börjesson, Torbjörn Backman, Ingrid Øra, Karin Hansson, Jakob Willforss, Fredrik Levander, Håkan Axelson, David Lindgren, Angela Martinez-Monleon, Susanne Fransson, Kristoffer von Stedingk, Noémie Braekeveldt
Supplementary methods and legends to supplementary figures and tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5750a08efe21a2a77f0c9918797ade09
https://doi.org/10.1158/0008-5472.22420518
https://doi.org/10.1158/0008-5472.22420518
Publikováno v:
Journal of Proteome Research. 18:732-740
Technical biases are introduced in omics data sets during data generation and interfere with the ability to study biological mechanisms. Several normalization approaches have been proposed to minimize the effects of such biases, but fluctuations in t