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Publications by Jacob Odeberg

Refereegranskade

Artiklar

[1]
M. Norreen-Thorsen et al., "A human adipose tissue cell-type transcriptome atlas," Cell reports, vol. 40, no. 2, 2022.
[2]
F. Edfors et al., "Proteomics in thrombosis research," RESEARCH AND PRACTICE IN THROMBOSIS AND HAEMOSTASIS, vol. 6, no. 3, 2022.
[4]
M. Karlsson et al., "A single-cell type transcriptomics map of human tissues," Science Advances, vol. 7, no. 31, 2021.
[6]
M. J. Iglesias et al., "Identification of Endothelial Proteins in Plasma Associated With Cardiovascular Risk Factors," Arteriosclerosis, Thrombosis and Vascular Biology, vol. 41, no. 12, pp. 2990-3004, 2021.
[8]
U. Rykaczewska et al., "PCSK6 Is a Key Protease in the Control of Smooth Muscle Cell Function in Vascular Remodeling," Circulation Research, vol. 126, no. 5, pp. 571-585, 2020.
[9]
M.-G. Hong et al., "Profiles of histidine-rich glycoprotein associate with age and risk of all-cause mortality," Life Science Alliance, vol. 3, no. 10, pp. e202000817, 2020.
[11]
M. Uhlén et al., "A genome-wide transcriptomic analysis of protein-coding genes in human blood cells," Science, vol. 366, no. 6472, pp. 1471-+, 2019.
[13]
J. Odeberg et al., "A novel cysteine-linked antibacterial surface coating significantly inhibits bacterial colonization of nasal silicone prongs in a phase one pre-clinical trial," Materials science & engineering. C, biomimetic materials, sensors and systems, vol. 93, pp. 782-789, 2018.
[17]
L. M. Butler et al., "Analysis of Body-wide Unfractionated Tissue Data to Identify a Core Human Endothelial Transcriptome," Cell Systems, vol. 3, no. 3, pp. 287-301.e3, 2016.
[19]
M. Bruzelius et al., "F11 is associated with recurrent VTE in women A prospective cohort study," Thrombosis and Haemostasis, vol. 115, no. 2, pp. 406-414, 2016.
[20]
L. Perisic et al., "Gene expression signatures, pathways and networks in carotid atherosclerosis," Journal of Internal Medicine, vol. 279, no. 3, pp. 293-308, 2016.
[24]
M. J. Iglesias et al., "An affinity proteomics study for plasma biomarker candidates of cardiovascular disease in venous thromboembolism," Journal of Thrombosis and Haemostasis, vol. 13, pp. 956-956, 2015.
[25]
M. Bruzelius et al., "F11 is associated with recurrent event of VTE in women : a prospective cohort study," Journal of Thrombosis and Haemostasis, vol. 13, pp. 198-198, 2015.
[26]
M. Bruzelius et al., "Predicting venous thrombosis in women using a combination of genetic markers and clinical risk factors," Journal of Thrombosis and Haemostasis, vol. 13, no. 2, pp. 219-227, 2015.
[27]
M. Uhlén et al., "Tissue-based map of the human proteome," Science, vol. 347, no. 6220, pp. 1260419, 2015.
[28]
M. Bruzelius et al., "Verema - an affinity proteomics study to identify and translate plasma biomarkers for venous thromboembolism," Journal of Thrombosis and Haemostasis, vol. 13, pp. 954-954, 2015.
[29]
L. Fagerberg et al., "Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics," Molecular & Cellular Proteomics, vol. 13, no. 2, pp. 397-406, 2014.
[30]
M. Bruzelius et al., "Influence of coronary artery disease-associated genetic variants on risk of venous thromboembolism," Thrombosis Research, vol. 134, no. 2, pp. 426-432, 2014.
[31]
D. A. Liem et al., "Molecular- and Organelle-Based Predictive Paradigm Underlying Recovery by Left Ventricular Assist Device Support," Circulation Heart Failure, vol. 7, no. 2, pp. 359-366, 2014.
[32]
[34]
L. Fagerberg et al., "Contribution of antibody-based protein profiling to the human chromosome-centric proteome project (C-HPP)," Journal of Proteome Research, vol. 12, no. 6, pp. 2439-2448, 2013.
[35]
A. Li et al., "Heart research advances using database search engines, human protein atlas and the sydney heart bank," Heart, Lung and Circulation, vol. 22, no. 10, pp. 819-826, 2013.
[36]
N. C. Zong et al., "Integration of cardiac proteome biology and medicine by a specialized knowledgebase," Circulation Research, vol. 113, no. 9, pp. 1043-1053, 2013.
[37]
L. Perisic et al., "Profiling of atherosclerotic lesions by gene and tissue microarrays reveals pcsk6 as a novel protease in unstable carotid atherosclerosis," Arteriosclerosis, Thrombosis and Vascular Biology, vol. 33, no. 10, pp. 2432-2443, 2013.
[38]
U. Qundos et al., "Profiling post-centrifugation delay of serum and plasma with antibody bead arrays," Journal of Proteomics, vol. 95, no. SI, pp. 46-54, 2013.
[39]
M. Uhlén et al., "Antibody-based Protein Profiling of the Human Chromosome 21," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[41]
A. Sillén et al., "Linkage Analysis of Autopsy-Confirmed Familial Alzheimer Disease Supports an Alzheimer Disease Locus in 8q24," Dementia and Geriatric Cognitive Disorders, vol. 31, no. 2, pp. 109-118, 2011.
[42]
A. Sillén et al., "Linkage to 20p13 including the ANGPT4 gene in families with mixed Alzheimer's disease and vascular dementia," Journal of Human Genetics, vol. 55, no. 10, pp. 649-655, 2010.
[43]
C. B. Estigoy et al., "Intercalated discs : Multiple proteins perform multiple functions in non-failing and failing human hearts," Biophysical Reviews, vol. 1, no. 1, pp. 43-49, 2009.
[44]
A. Sillén et al., "Expanded high-resolution genetic study of 109 Swedish families with Alzheimer's disease," European Journal of Human Genetics, vol. 16, no. 2, pp. 202-208, 2008.
[45]
M. Andersen et al., "In silico detection of sequence variations modifying transcriptional regulation," PloS Computational Biology, vol. 4, no. 1, pp. e5, 2008.
[47]
L. Berglund et al., "The epitope space of the human proteome," Protein Science, vol. 17, no. 4, pp. 606-613, 2008.
[48]
M. van Rooijen et al., "APC resistance during the normal menstrual cycle," Thrombosis and Haemostasis, vol. 98, no. 6, pp. 1246-1251, 2007.
[50]
J. Andrade et al., "The use of grid computing to drive data-intensive genetic research," European Journal of Human Genetics, vol. 15, no. 6, pp. 694-702, 2007.
[51]
P. Lahermo et al., "A quality assessment survey of SNP genotyping laboratories," Human Mutation, vol. 27, no. 7, pp. 711-714, 2006.
[52]
C. Zhu et al., "Allele-specific MMP-3 transcription under in vivo conditions," Biochemical and Biophysical Research Communications - BBRC, vol. 348, no. 3, pp. 1150-1156, 2006.
[53]
M. Andersen et al., "Alternative promoter usage of the membrane glycoprotein CD36," BMC Molecular Biology, vol. 7, pp. 8, 2006.
[54]
M. Käller et al., "Comparison of PrASE and Pyrosequencing for SNP Genotyping," BMC Genomics, vol. 7, pp. 291, 2006.
[56]
J. M. Odeberg et al., "UGT1A polymorphisms in a Swedish cohort and a human diversity panel, and the relation to bilirubin plasma levels in males and females," European Journal of Clinical Pharmacology, vol. 62, no. 10, pp. 829-837, 2006.
[57]
J. Andrade et al., "Using Grid Technology for Computationally Intensive Applied Bioinformatics Analyses," In Silico Biology, vol. 6, no. 6, pp. 495-504, 2006.
[59]
D. Velazquez-Fernandez et al., "Expression profiling of adrenocortical neoplasms suggests a molecular signature of malignancy.," Surgery, vol. 138, no. 6, pp. 1087-1094, 2005.
[60]
K. Holmberg et al., "Pyrosequencing analysis of thrombosis-associated risk markers," Clinical Chemistry, vol. 51, no. 8, pp. 1549-1552, 2005.
[61]
[63]
A. Lindstrom, J. Odeberg and J. Albert, "Pyrosequencing for detection of lamivudine-resistant hepatitis B virus," Journal of Clinical Microbiology, vol. 42, no. 10, pp. 4788-4795, 2004.
[64]
[65]
T. Andersson et al., "Shotgun sequencing and microarray analysis of RDA transcripts," Gene, vol. 310, pp. 39-47, 2003.
[66]
C. Agaton et al., "Gene expression analysis by signature pyrosequencing," Gene, vol. 289, no. 1-2, pp. 31-39, 2002.
[67]
J. Odeberg et al., "Molecular haplotyping by pyrosequencing (TM)," BioTechniques, vol. 33, no. 5, pp. 1104-+, 2002.
[68]
T. Andersson et al., "Monitoring of representational difference analysis subtraction procedures by global microarrays," BioTechniques, vol. 32, no. 6, pp. 1348-+, 2002.
[69]
D. O'Meara et al., "SNP typing by apyrase-mediated allele-specific primer extension on DNA microarrays," Nucleic Acids Research, vol. 30, no. 15, 2002.
[70]
A. Ahmadian et al., "Genotyping by apyrase-mediated allele-specific extension," Nucleic Acids Research, vol. 29, no. 24, 2001.
[73]
J. Odeberg et al., "A cDNA RDA protocol using solid-phase technology suited for analysis in small tissue samples.," Biomolecular Engineering, vol. 17, no. 1, pp. 1-9, 2000.
[74]
P. Tollet-Egnell et al., "Differential cloning of growth hormone-regulated hepatic transcripts in the aged rat," Endocrinology, vol. 141, no. 3, pp. 910-921, 2000.
[75]
O. Rosok et al., "The C1orf9 gene encodes a putative transmembrane member of a novel protein family," Biochemical and Biophysical Research Communications - BBRC, vol. 267, no. 3, pp. 855-862, 2000.
[78]
O. Røsok et al., "Solid-phase method for differential display of genes expressed in hematopoietic stem cells.," BioTechniques, vol. 21, no. 1, pp. 114-21, 1996.
[79]
G. H. Gudmundsson et al., "The human gene FALL39 and processing of the cathelin precursor to the antibacterial peptide LL-37 in granulocytes.," European Journal of Biochemistry, vol. 238, no. 2, pp. 325-32, 1996.
[80]
B. Agerberth et al., "FALL-39, a putative human peptide antibiotic, is cysteine-free and expressed in bone marrow and testis.," Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 1, pp. 195-9, 1995.

Konferensbidrag

[81]
M. Razzaq et al., "Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma Proteomics," in Computational Methods in Systems Biology19th International Conference, CMSB 2021, Bordeaux, France, September 22–24, 2021, Proceedings, 2021, pp. 108-121.
[82]
H. Lorenzo et al., "High-dimensional multi-block analysis of factors associated with thrombin generation potential," in Proceedings 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2019, pp. 453-458.
[83]
J. Andrade et al., "Applications of grid computing in genetics and proteomics," in Applied Parallel Computing : State Of The Art In Scientific Computing, 2007, pp. 791-798.
[84]
T. Sandholm et al., "Market-Based Resource Allocation using Price Prediction in a high performance computing Grid for scientific applications," in Proceedings of the IEEE International Symposium on High Performance Distributed Computing 2006, 2006, pp. 132-143.

Kapitel i böcker

[85]
M. J. Iglesias, J. M. Schwenk and J. Odeberg, "Affinity Proteomics Assays for Cardiovascular and Atherosclerotic Disease Biomarkers," in Protein Microarrays for Disease Analysis : Methods and Protocols, : Springer Nature, 2021, pp. 163-179.
Senaste synkning med DiVA:
2023-02-07 00:15:05