Publikationer av Emma Käller Lundberg
Refereegranskade
Artiklar
[1]
Y. C. Chang et al., "Decrypting lysine deacetylase inhibitor action and protein modifications by dose-resolved proteomics," Cell Reports, vol. 43, no. 6, 2024.
[2]
S. Sariyar et al., "High-parametric protein maps reveal the spatial organization in early-developing human lung," Nature Communications, vol. 15, no. 1, s. 9381, 2024.
[3]
C. Bunne et al., "How to build the virtual cell with artificial intelligence : Priorities and opportunities," Cell, vol. 187, no. 25, s. 7045-7063, 2024.
[4]
M. R. King et al., "Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient," Cell, vol. 187, no. 8, s. 24-1889, 2024.
[5]
A. Cesnik et al., "Mapping the Multiscale Proteomic Organization of Cellular and Disease Phenotypes," Annual Review of Biomedical Data Science, vol. 7, no. 1, s. 369-389, 2024.
[6]
H. Lee et al., "Open-source, high-throughput targeted in situ transcriptomics for developmental and tissue biology," Development, vol. 151, no. 16, 2024.
[7]
D. R. Dou et al., "Xist ribonucleoproteins promote female sex-biased autoimmunity," Cell, vol. 187, no. 3, s. 16-733, 2024.
[8]
A. Sountoulidis et al., "A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung," Nature Cell Biology, 2023.
[9]
G. T. Johnson et al., "Building the next generation of virtual cells to understand cellular biology," Biophysical Journal, vol. 122, no. 18, s. 3560-3569, 2023.
[10]
E. M. Quardokus et al., "Organ Mapping Antibody Panels : a community resource for standardized multiplexed tissue imaging," Nature Methods, vol. 20, no. 8, s. 1174-1178, 2023.
[11]
Y. Jain et al., "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms," Nature Communications, vol. 14, no. 1, 2023.
[12]
G. Kustatscher et al., "An open invitation to the Understudied Proteins Initiative," Nature Biotechnology, vol. 40, no. 6, s. 815-817, 2022.
[13]
T. Le et al., "Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition," Nature Methods, vol. 19, no. 10, s. 1221-1229, 2022.
[14]
N. Bagheri et al., "Commentary The new era of quantitative cell imaging-challenges and opportunities," Molecular Cell, vol. 82, no. 2, s. 241-247, 2022.
[15]
[16]
K. E. Burnum-Johnson et al., "New Views of Old Proteins : Clarifying the Enigmatic Proteome," Molecular & Cellular Proteomics, vol. 21, no. 7, 2022.
[17]
J. W. Hickey et al., "Spatial mapping of protein composition and tissue organization : a primer for multiplexed antibody-based imaging," Nature Methods, vol. 19, no. 3, s. 284-295, 2022.
[18]
R. D. Melani et al., "The Blood Proteoform Atlas : A reference map of proteoforms in human hematopoietic cells," Science, vol. 375, no. 6579, s. 411-+, 2022.
[19]
J. R. Moffitt, E. Lundberg och H. Heyn, "The emerging landscape of spatial profiling technologies," Nature reviews genetics, vol. 23, no. 12, s. 741-759, 2022.
[20]
G. Kustatscher et al., "Understudied proteins : opportunities and challenges for functional proteomics," Nature Methods, vol. 19, no. 7, s. 774-779, 2022.
[21]
Y. Qin et al., "A multi-scale map of cell structure fusing protein images and interactions," Nature, vol. 600, no. 7889, s. 536-+, 2021.
[22]
O. Rozenblatt-Rosen et al., "Building a high-quality Human Cell Atlas," Nature Biotechnology, vol. 39, no. 2, s. 149-153, 2021.
[23]
E. Gómez-de-Mariscal et al., "DeepImageJ : A user-friendly environment to run deep learning models in ImageJ," Nature Methods, vol. 18, no. 10, s. 1192-1195, 2021.
[24]
W. Ouyang et al., "Interactive biomedical segmentation tool powered by deep learning and ImJoy," F1000 Research, vol. 10, 2021.
[25]
H. Pinkard et al., "Pycro-Manager : open-source software for customized and reproducible microscope control," Nature Methods, vol. 18, no. 3, s. 226-+, 2021.
[26]
D. Mahdessian et al., "Spatiotemporal dissection of the cell cycle with single-cell proteogenomics," Nature, vol. 590, no. 7847, 2021.
[27]
E. Lundberg et al., "Which image-based phenotypes are most promising for using AI to understand cellular functions and why?," Cell Systems, vol. 12, no. 5, s. 384-387, 2021.
[28]
A. Bäckström et al., "A Sample Preparation Protocol for High Throughput Immunofluorescence of Suspension Cells on an Adherent Surface," Journal of Histochemistry and Cytochemistry, vol. 68, no. 7, s. 473-489, 2020.
[29]
W. Ouyang et al., "Analysis of the Human Protein Atlas Image Classification competition (vol 16, pg 1254, 2019)," Nature Methods, vol. 17, no. 1, s. 115-115, 2020.
[30]
W. Ouyang et al., "Analysis of the Human Protein Atlas Image Classification competition (vol 54, pg 2112, 2019)," Nature Methods, vol. 17, no. 2, s. 241-241, 2020.
[31]
L. Stenström et al., "Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder," Molecular Systems Biology, vol. 16, no. 8, 2020.
[32]
F. Danielsson et al., "Spatial Characterization of the Human Centrosome Proteome Opens Up New Horizons for a Small but Versatile Organelle," Proteomics, 2020.
[33]
W. Ouyang et al., "ImJoy : an open-source computational platform for the deep learning era," Nature Methods, vol. 16, no. 12, s. 1199-1200, 2019.
[34]
E. Lundberg och G. H. H. Borner, "Spatial proteomics : a powerful discovery tool for cell biology," Nature reviews. Molecular cell biology, vol. 20, no. 5, s. 285-302, 2019.
[35]
[36]
M. Mönnich et al., "CEP128 Localizes to the Subdistal Appendages of the Mother Centriole and Regulates TGF-β/BMP Signaling at the Primary Cilium," Cell Reports, vol. 22, no. 10, s. 2601-2614, 2018.
[37]
D. P. Sullivan et al., "Deep learning is combined with massive-scale citizen science to improve large-scale image classification," Nature Biotechnology, vol. 36, no. 9, s. 820-+, 2018.
[38]
D. Guala et al., "Experimental validation of predicted cancer genes using FRET," METHODS AND APPLICATIONS IN FLUORESCENCE, vol. 6, no. 3, 2018.
[39]
S. O'Hagan et al., "GeneGini : Assessment via the Gini Coefficient of Reference "Housekeeping'' Genes and Diverse Human Transporter Expression Profiles," Cell Systems, vol. 6, no. 2, s. 230-+, 2018.
[40]
R. Aebersold et al., "How many human proteoforms are there?," Nature Chemical Biology, vol. 14, no. 3, s. 206-214, 2018.
[41]
D. P. Sullivan och E. Lundberg, "Seeing More : A Future of Augmented Microscopy," Cell, vol. 173, no. 3, s. 546-548, 2018.
[42]
F. Danielsson et al., "Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia," Oncotarget, vol. 9, no. 28, s. 19730-19744, 2018.
[43]
J. Carreras-Puigvert et al., "A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family," Nature Communications, vol. 8, no. 1, 2017.
[44]
M. Uhlén et al., "A pathology atlas of the human cancer transcriptome," Science, vol. 357, no. 6352, s. 660-+, 2017.
[45]
[46]
M. Skogs et al., "Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged Proteins," Journal of Proteome Research, vol. 16, no. 1, s. 147-155, 2017.
[47]
J. Boström et al., "Comparative cell cycle transcriptomics reveals synchronization of developmental transcription factor networks in cancer cells," PLOS ONE, vol. 12, no. 12, 2017.
[48]
G. S. Omenn et al., "Progress on the HUPO Draft Human Proteome : 2017 Metrics of the Human Proteome Project," Journal of Proteome Research, vol. 16, no. 12, s. 4281-4287, 2017.
[49]
T. Ly et al., "Proteomic analysis of cell cycle progression in asynchronous cultures, including mitotic subphases, using PRIMMUS," eLIFE, vol. 6, 2017.
[50]
T. Alkasalias et al., "RhoA knockout fibroblasts lose tumor-inhibitory capacity in vitro and promote tumor growth in vivo," Proceedings of the National Academy of Sciences of the United States of America, vol. 114, no. 8, s. E1413-E1421, 2017.
[51]
[52]
H. Clevers et al., "What Is Your Conceptual Definition of "Cell Type'' in the Context of a Mature Organism?," CELL SYSTEMS, vol. 4, no. 3, s. 255-259, 2017.
[53]
F. Danielsson et al., "An image-based view of the microtubule proteome," Molecular Biology of the Cell, vol. 27, 2016.
[54]
L. Bjork et al., "Application specific antibody validation. The Human Protein Atlas validation scheme and how to confirm subcellular protein localization.," Molecular Biology of the Cell, vol. 27, 2016.
[55]
M. Wiking et al., "Drafting the intermediate filament proteome," Molecular Biology of the Cell, vol. 27, 2016.
[56]
M. Wiking, M. Uhlén och E. Lundberg, "Drafting the mitochondrial proteome," Molecular Biology of the Cell, vol. 27, 2016.
[57]
F. Edfors et al., "Gene-specific correlation of RNA and protein levels in human cells and tissues," Molecular Systems Biology, vol. 12, no. 10, 2016.
[58]
T. Alm, E. Lundberg och M. Uhlén, "Introducing the Affinity Binder Knockdown Initiative-A public-private partnership for validation of affinity reagents," EuPA Open Proteomics, vol. 10, s. 56-58, 2016.
[59]
A. Åkesson et al., "Large-scale spatial mapping of the nuclear human proteome.," Molecular Biology of the Cell, vol. 27, 2016.
[60]
S. Scharaw et al., "Maintenance of EGFR plasma membrane levels involves cargo-specific COPII components of the early secretory pathway machinery," Molecular Biology of the Cell, vol. 27, 2016.
[61]
C. F. Winsnes et al., "Multi-label prediction of subcellular localization in confocal images using deep neural networks," Molecular Biology of the Cell, vol. 27, no. 25, 2016.
[62]
F. Danielsson et al., "Profiling changes in response to hypoxia in a four-step cell line model for malignant transformation.," Molecular Biology of the Cell, vol. 27, 2016.
[63]
D. Mahdessian et al., "Profiling the human cytoplasmic proteome.," Molecular Biology of the Cell, vol. 27, 2016.
[64]
D. P. Sullivan et al., "Project Discovery : Bringing real science to mainstream gaming creates an enthusiastic and fast resource for scientific research," Molecular Biology of the Cell, vol. 27, 2016.
[65]
D. P. Sullivan et al., "Proteome-wide cell cycle characterization from fluorescent microscopy images of asynchronous cells.," Molecular Biology of the Cell, vol. 27, 2016.
[66]
P. Thul, R. Pepperkok och E. Lundberg, "Spatial Proteomic Profiling of the Golgi Apparatus by Indirect Immunofluorescent Microscopy.," Molecular Biology of the Cell, vol. 27, 2016.
[67]
D. Mahdessian et al., "Spatiotemporal variations of the human proteome associated to cell cycle progression," Molecular Biology of the Cell, vol. 27, 2016.
[68]
F. Liu et al., "Systems Proteomics View of the Endogenous Human Claudin Protein Family," Journal of Proteome Research, vol. 15, no. 2, s. 339-359, 2016.
[69]
T. L. Alm, E. Lundberg och M. Uhlén, "The Affinity Binder Knockdown Initiative.," Molecular Biology of the Cell, vol. 27, 2016.
[70]
S. Scharaw et al., "The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR," Journal of Cell Biology, vol. 215, no. 4, s. 543-558, 2016.
[71]
M. Fasano et al., "Towards a functional definition of the mitochondrial human proteome," EuPA Open Proteomics, vol. 10, s. 24-27, 2016.
[72]
D. P. Sullivan, E. Lundberg och M. Uhlén, "Understanding cellular shape modulation and motility : the Actin associated human proteome," Molecular Biology of the Cell, vol. 27, 2016.
[73]
[74]
G. S. Omenn et al., "Metrics for the Human Proteome Project 2015 : Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification," Journal of Proteome Research, vol. 14, no. 9, s. 3452-3460, 2015.
[75]
N. G. Sheppard et al., "The folate-coupled enzyme MTHFD2 is a nuclear protein and promotes cell proliferation," Scientific Reports, vol. 5, 2015.
[76]
M. Uhlén et al., "Tissue-based map of the human proteome," Science, vol. 347, no. 6220, s. 1260419, 2015.
[77]
T. Alm et al., "A Chromosome-Centric Analysis of Antibodies Directed toward the Human Proteome Using Antibodypedia," Journal of Proteome Research, vol. 13, no. 3, s. 1669-1676, 2014.
[78]
C. Älgenäs et al., "Antibody performance in western blot applications is context- dependent," Biotechnology Journal, vol. 9, no. 3, s. 435-445, 2014.
[79]
F. Edfors et al., "Immunoproteomics using polyclonal antibodies and stable isotope-labeled affinity-purified recombinant proteins," Molecular & Cellular Proteomics, vol. 13, no. 6, s. 1611-1624, 2014.
[80]
L. Lane et al., "Metrics for the Human Proteome Project 2013-2014 and Strategies for Finding Missing Proteins," Journal of Proteome Research, vol. 13, no. 1, s. 15-20, 2014.
[81]
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, s. 359-366, 2014.
[82]
C. Stadler et al., "RNA- and Antibody-Based Profiling of the Human Proteome with Focus on Chromosome 19," Journal of Proteome Research, vol. 13, no. 4, s. 2019-2027, 2014.
[83]
C. Kampf et al., "The human liver-specific proteome defined by transcriptomics and antibody-based profiling," The FASEB Journal, vol. 28, no. 7, s. 2901-2914, 2014.
[84]
S. Liu et al., "A Chromosome-centric Human Proteome Project (C-HPP) to Characterize the Sets of Proteins Encoded in Chromosome 17," Journal of Proteome Research, vol. 12, no. 1, s. 49-61, 2013.
[85]
E. Rexhepaj et al., "A Texture Based Pattern Recognition Approach to Distinguish Melanoma from Non-Melanoma Cells in Histopathological Tissue Microarray Sections," PLOS ONE, vol. 8, no. 5, s. e62070, 2013.
[86]
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, s. 2439-2448, 2013.
[87]
C. Stadler et al., "Immunofluorescence and fluorescent-protein tagging show high correlation for protein localization in mammalian cells," Nature Methods, vol. 10, no. 4, s. 315-323, 2013.
[88]
F. Danielsson et al., "Majority of differentially expressed genes are down-regulated during malignant transformation in a four-stage model," Proceedings of the National Academy of Sciences of the United States of America, vol. 110, no. 17, s. 6853-6858, 2013.
[89]
F. Danielsson et al., "RNA Deep Sequencing as a Tool for Selection of Cell Lines for Systematic Subcellular Localization of All Human Proteins," Journal of Proteome Research, vol. 12, no. 1, s. 231-239, 2013.
[90]
M. Zeiler et al., "A Protein Epitope Signature Tag (PrEST) Library Allows SILAC-based Absolute Quantification and Multiplexed Determination of Protein Copy Numbers in Cell Lines," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[91]
C. Kampf et al., "A tool to facilitate clinical biomarker studies - a tissue dictionary based on the Human Protein Atlas," BMC Medicine, vol. 10, s. 103, 2012.
[92]
M. Uhlén et al., "Antibody-based Protein Profiling of the Human Chromosome 21," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[93]
J. Li et al., "Automated Analysis and Reannotation of Subcellular Locations in Confocal Images from the Human Protein Atlas," PLOS ONE, vol. 7, no. 11, s. e50514, 2012.
[94]
M. Larance et al., "Characterization of MRFAP1 Turnover and Interactions Downstream of the NEDD8 Pathway," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[95]
B. Werne Solnestam et al., "Comparison of total and cytoplasmic mRNA reveals global regulation by nuclear retention and miRNAs," BMC Genomics, vol. 13, no. 1, s. 574, 2012.
[96]
P. Akan et al., "Comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell lines," Genome Medicine, vol. 4, s. 86, 2012.
[97]
J. Li et al., "Estimating Microtubule Distributions from 2D Immunofluorescence Microscopy Images Reveals Differences among Human Cultured Cell Lines," PLOS ONE, vol. 7, no. 11, s. e50292, 2012.
[98]
J. Dengjel et al., "Identification of Autophagosome-associated Proteins and Regulators by Quantitative Proteomic Analysis and Genetic Screens," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[99]
T. Bock et al., "Proteomic Analysis Reveals Drug Accessible Cell Surface N-Glycoproteins of Primary and Established Glioblastoma Cell Lines," Journal of Proteome Research, vol. 11, no. 10, s. 4885-4893, 2012.
[100]
Y. Ahmad et al., "Systematic Analysis of Protein Pools, Isoforms, and Modifications Affecting Turnover and Subcellular Localization," Molecular & Cellular Proteomics, vol. 11, no. 3, 2012.
[101]
C. Stadler et al., "Systematic validation of antibody binding and protein subcellular localization using siRNA and confocal microscopy," Journal of Proteomics, vol. 75, no. 7, s. 2236-2251, 2012.
[102]
B. Hjelm et al., "Generation of monospecific antibodies based on affinity capture of polyclonal antibodies," Protein Science, vol. 20, no. 11, s. 1824-1835, 2011.
[103]
L. Fagerberg et al., "Mapping the subcellular protein distribution in three human cell lines," Journal of Proteome Research, vol. 10, no. 8, s. 3766-3777, 2011.
[104]
L. Jakobsen et al., "Novel asymmetrically localizing components of human centrosomes identified by complementary proteomics methods," EMBO Journal, vol. 30, no. 8, s. 1520-1535, 2011.
[105]
K. Magnusson et al., "SATB2 in Combination With Cytokeratin 20 Identifies Over 95% of all Colorectal Carcinomas," American Journal of Surgical Pathology, vol. 35, no. 7, s. 937-948, 2011.
[106]
C. Stadler et al., "A single fixation protocol for proteome-wide immunofluorescence localization studies," Journal of Proteomics, vol. 73, no. 6, s. 1067-1078, 2010.
[107]
D. Klevebring et al., "Analysis of transcript and protein overlap in a human osteosarcoma cell line," BMC Genomics, vol. 11, no. 1, s. 684, 2010.
[108]
E. Lundberg och M. Uhlén, "Creation of an antibody-based subcellular protein atlas," Proteomics, vol. 10, no. 22, s. 3984-3996, 2010.
[109]
E. Lundberg et al., "Defining the transcriptome and proteome in three functionally different human cell lines," Molecular Systems Biology, vol. 6, s. 450, 2010.
[110]
S. Grimm et al., "Selection and characterisation of affibody molecules inhibiting the interaction between Ras and Raf in vitro," NEW BIOTECHNOL, vol. 27, no. 6, s. 766-773, 2010.
[111]
J. Li et al., "Selection of affibody molecules to the ligand-binding site of the insulin-like growth factor-1 receptor," Biotechnology and applied biochemistry, vol. 55, s. 99-109, 2010.
[112]
T. Borsics et al., "Subcellular distribution and expression of prenylated Rab acceptor 1 domain family, member 2 (PRAF2) in malignant glioma : Influence on cell survival and migration," Cancer Science, vol. 101, no. 7, s. 1624-1631, 2010.
[113]
M. Uhlén et al., "Towards a knowledge-based Human Protein Atlas," Nature Biotechnology, vol. 28, no. 12, s. 1248-1250, 2010.
[114]
F. Ponten et al., "A global view of protein expression in human cells, tissues, and organs," Molecular Systems Biology, vol. 5, 2009.
[115]
E. Vernet et al., "Affibody-mediated retention of the epidermal growth factor receptor in the secretory compartments leads to inhibition of phosphorylation in the kinase domain," New biotechnology, vol. 25, no. 6, s. 417-423, 2009.
[116]
E. Lundberg, H. Brismar och T. Gräslund, "Selection and characterization of Affibody (R) ligands to the transcription factor c-Jun," Biotechnology and applied biochemistry, vol. 52, s. 17-27, 2009.
[117]
S. Stromberg et al., "Selective Expression of Syntaxin-7 Protein in Benign Melanocytes and Malignant Melanoma," Journal of Proteome Research, vol. 8, no. 4, s. 1639-1646, 2009.
[118]
L. Berglund et al., "A genecentric human protein atlas for expression profiles based on antibodies," Molecular & Cellular Proteomics, vol. 7, no. 10, s. 2019-2027, 2008.
[119]
E. Vernet et al., "Affinity-based entrapment of the HER2 receptor in the endoplasmic reticulum using an affibody molecule," Journal of immunological methods, vol. 338, s. 1-6, 2008.
[120]
E. Lundberg et al., "The correlation between cellular size and protein expression levels : Normalization for global protein profiling," Journal of Proteomics, vol. 71, no. 4, s. 448-460, 2008.
[121]
L. Barbe et al., "Toward a confocal subcellular atlas of the human proteome," Molecular and cellular proteomics, vol. 7, no. 3, s. 499-508, 2008.
[122]
E. Lundberg et al., "A novel method for reproducible fluorescent labeling of small amounts of antibodies on solid phase," JIM - Journal of Immunological Methods, vol. 322, no. 1-2, s. 40-49, 2007.
[123]
E. Lundberg et al., "Site-specifically conjugated anti-HER2 Affibody® molecules as one-step reagents for target expression analyses on cells and xenograft samples," JIM - Journal of Immunological Methods, vol. 319, no. 1-2, s. 53-63, 2007.
Konferensbidrag
[124]
J. Y. Newberg et al., "Automated analysis of human protein atlas immunofluorescence images," i Proceedings - 2009 IEEE International Symposium on Biomedical Imaging : From Nano to Macro, ISBI 2009, 2009, s. 1023-1026.
Kapitel i böcker
[125]
L. Jakobsen et al., "Centrosome Isolation and Analysis by Mass Spectrometry-Based Proteomics," i CILIA, PART B, : Academic Press, 2013, s. 371-393.
Icke refereegranskade
Artiklar
[126]
D. M. Pacia et al., "Early AI Lifecycle Co-Reasoning : Ethics Through Integrated and Diverse Team Science," American Journal of Bioethics, vol. 24, no. 9, s. 86-88, 2024.
[127]
Y. Zhang et al., "ISG15 modification of the Arp2/3 complex restricts pathogen spread," Molecular Biology of the Cell, vol. 34, no. 2, s. 818-818, 2023.
[128]
K. Kuodyte et al., "The Golgi complex serves as a platform for the DNA damage response pathways," Molecular Biology of the Cell, vol. 34, no. 2, s. 63-63, 2023.
[129]
K. Kuodyte et al., "The Golgi complex serves as a platform for the DNA damage response pathways," Molecular Biology of the Cell, vol. 34, no. 2, s. 209-209, 2023.
[130]
C. Gnann, A. J. Cesnik och E. Lundberg, "Illuminating Non-genetic Cellular Heterogeneity with Imaging-Based Spatial Proteomics," Trends in cancer, vol. 7, no. 4, s. 278-282, 2021.
[131]
E. Lundberg, "Dissecting the spatiotemporal subcellular distribution of the human proteome," European Journal of Human Genetics, vol. 27, s. 764-764, 2019.
[132]
P. Anikeeva, E. Lundberg och X. Zhuang, "Voices in methods development," Nature Methods, vol. 16, no. 10, s. 945-951, 2019.
[133]
P. J. Thul et al., "An image-based subcellular map of the human proteome.," Molecular Biology of the Cell, vol. 28, 2017.
[134]
P. Thul et al., "An image-based subcellular map of the human proteome.," Molecular Biology of the Cell, vol. 28, 2017.
[135]
P. Thul et al., "Exploring the Proteome of Multilocalizing Proteins," Molecular Biology of the Cell, vol. 28, 2017.
[136]
D. Mahdessian et al., "Spatiotemporal characterization of the human proteome.," Molecular Biology of the Cell, vol. 28, 2017.
[137]
M. Uhlen et al., "A proposal for validation of antibodies," Nature Methods, vol. 13, no. 10, s. 823-+, 2016.
[138]
M. Wiking et al., "Drafting the intermediate filament proteome.," Molecular Biology of the Cell, vol. 27, 2016.
[139]
G. S. Omenn et al., "Metrics for the Human Proteome Project 2016 : Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications," Journal of Proteome Research, vol. 15, no. 11, s. 3951-3960, 2016.
[140]
E. Lundberg et al., "The Cell Atlas : Creation of an image-based atlas of the subcellular distribution of the human proteome.," Molecular Biology of the Cell, vol. 27, 2016.
[141]
M. Skogs och E. Lundberg, "Proteins that assemble into Rods & Rings - subcellular protein complexes with unknown functions.," Molecular Biology of the Cell, vol. 26, 2015.
[142]
P. Horvatovich et al., "Quest for Missing Proteins : Update 2015 on Chromosome-Centric Human Proteome Project," Journal of Proteome Research, vol. 14, no. 9, s. 3415-3431, 2015.
[143]
T. L. Alm, E. Lundberg och M. Uhlén, "The Affinity Binder Knockdown Initiative," Molecular Biology of the Cell, vol. 26, 2015.
[144]
F. Danielsson et al., "Profiling the Molecular changes during malignant transformation and response to different oxygen levels, using a combined transcriptomics and proteomics approach," Molecular Biology of the Cell, vol. 25, 2014.
[145]
[146]
K. Vanselow et al., "Quantitative Mass Spectrometry-based Proteomics of Human Centrosomes after Cullin-RING E3 ligase and Proteasome Inactivation.," Molecular Biology of the Cell, vol. 23, 2012.
[147]
E. Lundberg och H. A. Svahn, "What determines specific cell functions?," Lab on a Chip, vol. 11, no. 12, s. 2039-2041, 2011.
[148]
L. Jakobsen et al., "Functional proteomics of the human centrosome," New Biotechnology, vol. 27, s. S82-S82, 2010.
Övriga
[149]
C. F. Winsnes et al., "A proteome map of the micronucleus reveals a diversity of nuclear functions," (Manuskript).
[150]
[151]
D. Mahdessian et al., "An image-based map of the human mitochondrial proteome and its heterogeneity," (Manuskript).
[152]
M. Wiking och E. K. Lundberg, "An image-based map of the human mitochondrial proteome," (Manuskript).
[153]
C. Gnann et al., "An image-based map of the mitochondrial proteome reveals widespread metabolic heterogeneity," (Manuskript).
[154]
A. J. Cesnik et al., "Deciphering hierarchical cell cycle controls by near-saturation phosphoproteomics," (Manuskript).
[155]
S. Sariyar et al., "High-parametric protein maps reveal the spatial organization in early-developing human lung," (Manuskript).
[156]
T. Boström et al., "Investigating the correlation of protein and mRNA levels in human cell lines using quantitative proteomics and transcriptomics," (Manuskript).
[157]
H. Lee et al., "Open-source, high-throughput targeted in-situ transcriptomics for developmental biologists," (Manuskript).
[158]
S. Grimm et al., "Selection and characterization of affibody molecules interfering with the interaction between Ras and Raf," (Manuskript).
[159]
J. Li et al., "Selection of affibody molecules blocking hormone-binding to the insulin-like growth factor 1 receptor," (Manuskript).
[160]
[161]
[162]
D. Mahdessian et al., "Spatiotemporal dissection of the cell cycle regulated human proteome," (Manuskript).
[163]
H. Stranneheim et al., "Transcript nuclear retention effects quantification of gene expression levels," (Manuskript).
[164]
[165]
F. Edfors et al., "Validation of antibodies for Western blot applications using orthogonal methods," (Manuskript).
Senaste synkning med DiVA:
2024-12-23 00:01:32