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Institution

Haukeland University Hospital

HealthcareBergen, Norway
About: Haukeland University Hospital is a healthcare organization based out in Bergen, Norway. It is known for research contribution in the topics: Population & Breast cancer. The organization has 3833 authors who have published 11617 publications receiving 396135 citations. The organization is also known as: Haukeland universitetssykehus.


Papers
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Journal ArticleDOI
17 Aug 2000-Nature
TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Abstract: Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.

14,768 citations

Journal ArticleDOI
Paul Bastard1, Paul Bastard2, Paul Bastard3, Lindsey B. Rosen4, Qian Zhang1, Eleftherios Michailidis1, Hans-Heinrich Hoffmann1, Yu Zhang4, Karim Dorgham3, Quentin Philippot2, Quentin Philippot3, Jérémie Rosain3, Jérémie Rosain2, Vivien Béziat2, Vivien Béziat1, Vivien Béziat3, Jeremy Manry2, Jeremy Manry3, Elana Shaw4, Liis Haljasmägi5, Pärt Peterson5, Lazaro Lorenzo3, Lazaro Lorenzo2, Lucy Bizien2, Lucy Bizien3, Sophie Trouillet-Assant6, Kerry Dobbs4, Adriana Almeida de Jesus4, Alexandre Belot6, Anne Kallaste7, Emilie Catherinot, Yacine Tandjaoui-Lambiotte2, Jérémie Le Pen1, Gaspard Kerner2, Gaspard Kerner3, Benedetta Bigio1, Yoann Seeleuthner3, Yoann Seeleuthner2, Rui Yang1, Alexandre Bolze, András N Spaan1, András N Spaan8, Ottavia M. Delmonte4, Michael S. Abers4, Alessandro Aiuti9, Giorgio Casari9, Vito Lampasona9, Lorenzo Piemonti9, Fabio Ciceri9, Kaya Bilguvar10, Richard P. Lifton1, Richard P. Lifton10, Marc Vasse, David M. Smadja3, Mélanie Migaud3, Mélanie Migaud2, Jérôme Hadjadj3, Benjamin Terrier3, Darragh Duffy11, Lluis Quintana-Murci12, Lluis Quintana-Murci11, Diederik van de Beek13, Lucie Roussel14, Donald C. Vinh14, Stuart G. Tangye15, Stuart G. Tangye16, Filomeen Haerynck17, David Dalmau18, Javier Martinez-Picado19, Javier Martinez-Picado20, Petter Brodin21, Petter Brodin22, Michel C. Nussenzweig1, Michel C. Nussenzweig23, Stéphanie Boisson-Dupuis3, Stéphanie Boisson-Dupuis2, Stéphanie Boisson-Dupuis1, Carlos Rodríguez-Gallego, Guillaume Vogt3, Trine H. Mogensen24, Trine H. Mogensen25, Andrew J. Oler4, Jingwen Gu4, Peter D. Burbelo4, Jeffrey I. Cohen4, Andrea Biondi26, Laura Rachele Bettini26, Mariella D'Angiò26, Paolo Bonfanti26, Patrick Rossignol27, Julien Mayaux3, Frédéric Rieux-Laucat3, Eystein S. Husebye28, Eystein S. Husebye29, Eystein S. Husebye30, Francesca Fusco, Matilde Valeria Ursini, Luisa Imberti31, Alessandra Sottini31, Simone Paghera31, Eugenia Quiros-Roldan32, Camillo Rossi, Riccardo Castagnoli33, Daniela Montagna33, Amelia Licari33, Gian Luigi Marseglia33, Xavier Duval, Jade Ghosn3, Hgid Lab4, Covid Clinicians5, Covid-Storm Clinicians§4, CoV-Contact Cohort§3, Amsterdam Umc Covid Biobank3, Amsterdam Umc Covid Biobank1, Amsterdam Umc Covid Biobank2, Covid Human Genetic Effort1, John S. Tsang4, Raphaela Goldbach-Mansky4, Kai Kisand5, Michail S. Lionakis4, Anne Puel1, Anne Puel3, Anne Puel2, Shen-Ying Zhang2, Shen-Ying Zhang3, Shen-Ying Zhang1, Steven M. Holland4, Guy Gorochov3, Emmanuelle Jouanguy2, Emmanuelle Jouanguy3, Emmanuelle Jouanguy1, Charles M. Rice1, Aurélie Cobat3, Aurélie Cobat2, Aurélie Cobat1, Luigi D. Notarangelo4, Laurent Abel2, Laurent Abel3, Laurent Abel1, Helen C. Su4, Jean-Laurent Casanova 
23 Oct 2020-Science
TL;DR: A means by which individuals at highest risk of life-threatening COVID-19 can be identified is identified, and the hypothesis that neutralizing auto-Abs against type I IFNs may underlie critical CO VID-19 is tested.
Abstract: Interindividual clinical variability in the course of SARS-CoV-2 infection is immense. We report that at least 101 of 987 patients with life-threatening COVID-19 pneumonia had neutralizing IgG auto-Abs against IFN-ω (13 patients), the 13 types of IFN-α (36), or both (52), at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1,227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 were men. A B cell auto-immune phenocopy of inborn errors of type I IFN immunity underlies life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men.

1,913 citations

Journal ArticleDOI
TL;DR: Plasma total homocysteine levels are a strong predictor of mortality in patients with angiographically confirmed coronary artery disease and remained strong after adjustment for these and other potential confounders.
Abstract: Background Elevated plasma homocysteine levels are a risk factor for coronary heart disease, but the prognostic value of homocysteine levels in patients with established coronary artery disease has not been defined. Methods We prospectively investigated the relation between plasma total homocysteine levels and mortality among 587 patients with angiographically confirmed coronary artery disease. At the time of angiography in 1991 or 1992, risk factors for coronary disease, including homocysteine levels, were evaluated. The majority of the patients subsequently underwent coronary-artery bypass grafting (318 patients) or percutaneous transluminal coronary angioplasty (120 patients); the remaining 149 were treated medically. Results After a median follow-up of 4.6 years, 64 patients (10.9 percent) had died. We found a strong, graded relation between plasma homocysteine levels and overall mortality. After four years, 3.8 percent of patients with homocysteine levels below 9 μmol per liter had died, as compared ...

1,760 citations


Authors

Showing all 3865 results

NameH-indexPapersCitations
Rasmus Nielsen13555684898
Henrik Zetterberg125173672452
Ole A. Andreassen115113071451
Michael Horowitz11298246952
Massimo Zeviani10447839743
Tore K Kvien10353362556
Dieter Røhrich10263735942
Per Magne Ueland10261850437
Peter R. Shewry9784540265
Jian Chen96171852917
Terry L. Jernigan9326631690
Helga Refsum9031637463
Jose C. Florez8735750750
Kenneth Hugdahl8651024646
Jan Petter Larsen8425424834
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202259
20211,038
2020916
2019843
2018806