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| 2. |
- Danielsson, Frida, et al.
(författare)
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RNA Deep Sequencing as a Tool for Selection of Cell Lines for Systematic Subcellular Localization of All Human Proteins
- 2013
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Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 12:1, s. 231-239
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Tidskriftsartikel (refereegranskat)abstract
- One of the major challenges of a chromosome-centric proteome project is to explore in a systematic manner the potential proteins identified from the chromosomal genome sequence, but not yet characterized on a protein level. Here, we describe the use of RNA deep sequencing to screen human cell lines for RNA profiles and to use this information to select cell lines suitable for characterization of the corresponding gene product. In this manner, the subcellular localization of proteins can be analyzed systematically using antibody-based confocal microscopy. We demonstrate the usefulness of selecting cell lines with high expression levels of RNA transcripts to increase the likelihood of high quality immunofluorescence staining and subsequent successful subcellular localization of the corresponding protein. The results show a path to combine transcriptomics with affinity proteomics to characterize the proteins in a gene- or chromosome-centric manner.
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| 3. |
- Hjelm, Barbara, et al.
(författare)
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Generation of monospecific antibodies based on affinity capture of polyclonal antibodies
- 2011
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Ingår i: Protein Science. - : Wiley. - 0961-8368 .- 1469-896X. ; 20:11, s. 1824-1835
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Tidskriftsartikel (refereegranskat)abstract
- A method is described to generate and validate antibodies based on mapping the linear epitopes of a polyclonal antibody followed by sequential epitope-specific capture using synthetic peptides. Polyclonal antibodies directed towards four proteins RBM3, SATB2, ANLN, and CNDP1, potentially involved in human cancers, were selected and antibodies to several non-overlapping epitopes were generated and subsequently validated by Western blot, immunohistochemistry, and immunofluorescence. For all four proteins, a dramatic difference in functionality could be observed for these monospecific antibodies directed to the different epitopes. In each case, at least one antibody was obtained with full functionality across all applications, while other epitope-specific fractions showed no or little functionality. These results present a path forward to use the mapped binding sites of polyclonal antibodies to generate epitope-specific antibodies, providing an attractive approach for large-scale efforts to characterize the human proteome by antibodies.
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| 4. |
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| 5. |
- Mahdessian, Diana, 1984-, et al.
(författare)
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An image-based map of the human mitochondrial proteome and its heterogeneity
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Mitochondria is involved in a numerous variety of cellular functions beyond its role in energy metabolism. Defining the human mitochondrial proteome is crucial to understand the mitochondria’s diverse functions and role in disease. Here, we present an image-based map of the human mitochondrial proteome containing 1,098 proteins. The single cell resolution revealed extensive heterogeneity for as much as 20% (n=226) of the mitochondrial proteome. These variations are independent of cell cycle position and likely represent metabolic fluctuations in the cell. Our analysis shows that 48% (n=524) of the proteins localize to additional cellular compartments, further contributing to the diverse cellular functions of mitochondria. This map of the mitochondrial proteome, part of the Cell Atlas of the Human Protein Atlas database (www.proteinatlas.org), provides a valuable knowledge resource for studies of mitochondria function, dysfunction and disease.
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| 6. |
- Mahdessian, Diana, et al.
(författare)
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Profiling the human cytoplasmic proteome.
- 2016
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Ingår i: Molecular Biology of the Cell. - : AMER SOC CELL BIOLOGY. - 1059-1524 .- 1939-4586. ; 27
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Tidskriftsartikel (refereegranskat)
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| 7. |
- Mahdessian, Diana, et al.
(författare)
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Spatiotemporal dissection of the cell cycle with single-cell proteogenomics
- 2021
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Ingår i: Nature. - : Springer Nature. - 0028-0836 .- 1476-4687. ; 590:7847
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Tidskriftsartikel (refereegranskat)abstract
- Spatial and temporal variations among individual human cell proteomes are comprehensively mapped across the cell cycle using proteomic imaging and transcriptomics. The cell cycle, over which cells grow and divide, is a fundamental process of life. Its dysregulation has devastating consequences, including cancer(1-3). The cell cycle is driven by precise regulation of proteins in time and space, which creates variability between individual proliferating cells. To our knowledge, no systematic investigations of such cell-to-cell proteomic variability exist. Here we present a comprehensive, spatiotemporal map of human proteomic heterogeneity by integrating proteomics at subcellular resolution with single-cell transcriptomics and precise temporal measurements of individual cells in the cell cycle. We show that around one-fifth of the human proteome displays cell-to-cell variability, identify hundreds of proteins with previously unknown associations with mitosis and the cell cycle, and provide evidence that several of these proteins have oncogenic functions. Our results show that cell cycle progression explains less than half of all cell-to-cell variability, and that most cycling proteins are regulated post-translationally, rather than by transcriptomic cycling. These proteins are disproportionately phosphorylated by kinases that regulate cell fate, whereas non-cycling proteins that vary between cells are more likely to be modified by kinases that regulate metabolism. This spatially resolved proteomic map of the cell cycle is integrated into the Human Protein Atlas and will serve as a resource for accelerating molecular studies of the human cell cycle and cell proliferation.
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| 8. |
- O'Hurley, Gillian, et al.
(författare)
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Analysis of the Human Prostate-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling Identifies TMEM79 and ACOXL as Two Putative, Diagnostic Markers in Prostate Cancer.
- 2015
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 10:8
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Tidskriftsartikel (refereegranskat)abstract
- To better understand prostate function and disease, it is important to define and explore the molecular constituents that signify the prostate gland. The aim of this study was to define the prostate specific transcriptome and proteome, in comparison to 26 other human tissues. Deep sequencing of mRNA (RNA-seq) and immunohistochemistry-based protein profiling were combined to identify prostate specific gene expression patterns and to explore tissue biomarkers for potential clinical use in prostate cancer diagnostics. We identified 203 genes with elevated expression in the prostate, 22 of which showed more than five-fold higher expression levels compared to all other tissue types. In addition to previously well-known proteins we identified two poorly characterized proteins, TMEM79 and ACOXL, with potential to differentiate between benign and cancerous prostatic glands in tissue biopsies. In conclusion, we have applied a genome-wide analysis to identify the prostate specific proteome using transcriptomics and antibody-based protein profiling to identify genes with elevated expression in the prostate. Our data provides a starting point for further functional studies to explore the molecular repertoire of normal and diseased prostate including potential prostate cancer markers such as TMEM79 and ACOXL.
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| 9. |
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| 10. |
- Skogs, Marie, et al.
(författare)
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Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged Proteins
- 2017
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Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 16:1, s. 147-155
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Tidskriftsartikel (refereegranskat)abstract
- Antibodies are indispensible research tools, yet the scientific community has not adopted standardized procedures to validate their specificity. Here we present a strategy to systematically validate antibodies for immunofluorescence (IF) applications using gene tagging. We have assessed the on- and off-target binding capabilities of 197 antibodies using 108 cell lines expressing EGFP-tagged target proteins at endogenous levels. Furthermore, we assessed batch-to-batch effects for 35 target proteins, showing that both the on- and off-target binding patterns vary significantly between antibody batches and that the proposed strategy serves as a reliable procedure for ensuring reproducibility upon production of new antibody batches. In summary, we present a systematic scheme for antibody validation in IF applications using endogenous expression of tagged proteins. This is an important step toward a reproducible approach for context- and application-specific antibody validation and improved reliability of antibody-based experiments and research data.
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