Table_1_TcellSubC: An Atlas of the Subcellular Proteome of Human T Cells.XLSX
We have curated an in-depth subcellular proteomic map of primary human CD4+ T cells, divided into cytosolic, nuclear and membrane fractions generated by an optimized fractionation and HiRIEF-LC-MS/MS workflow for limited amounts of primary cells. The subcellular proteome of T cells was mapped under steady state conditions, as well as upon 15 min and 1 h of T cell receptor (TCR) stimulation, respectively. We quantified the subcellular distribution of 6,572 proteins and identified a subset of 237 potentially translocating proteins, including both well-known examples and novel ones. Microscopic validation confirmed the localization of selected proteins with previously known and unknown localization, respectively. We further provide the data in an easy-to-use web platform to facilitate re-use, as the data can be relevant for basic research as well as for clinical exploitation of T cells as therapeutic targets.
History
References
- https://doi.org//10.1186/s13073-018-0588-4
- https://doi.org//10.1016/j.immuni.2016.04.023
- https://doi.org//10.1111/ajt.14238
- https://doi.org//10.1038/s41580-018-0094-y
- https://doi.org//10.1038/nature02026
- https://doi.org//10.1126/science.aal3321
- https://doi.org//10.1016/j.molcel.2018.11.035
- https://doi.org//10.7554/eLife.16950
- https://doi.org//10.1038/ncomms9992
- https://doi.org//10.1074/mcp.M116.064527
- https://doi.org//10.1016/j.cbpa.2018.10.026
- https://doi.org//10.1074/mcp.M900483-MCP200
- https://doi.org//10.1002/pmic.200402016
- https://doi.org//10.4172/jpb.1000264
- https://doi.org//10.1074/mcp.M114.045690
- https://doi.org//10.1016/j.immuni.2016.02.022
- https://doi.org//10.1182/blood-2011-02-339242
- https://doi.org//10.1038/nmeth.1714
- https://doi.org//10.1021/ac502040v
- https://doi.org//10.1038/nprot.2017.026
- https://doi.org//10.1038/nmeth.2732
- https://doi.org//10.3389/fimmu.2017.01163
- https://doi.org//10.1038/s41467-018-04279-5
- https://doi.org//10.1093/nar/gkv007
- https://doi.org//10.18129/B9.bioc.DEqMS
- https://doi.org//10.1186/1471-2164-9-488
- https://doi.org//10.1093/database/bav115
- https://doi.org//10.1093/nar/gky1159
- https://doi.org//10.1186/1471-2105-10-48
- https://doi.org//10.1016/j.jprot.2009.10.012
- https://doi.org//10.1093/bioinformatics/btr095
- https://doi.org//10.1016/j.jprot.2012.01.030
- https://doi.org//10.1126/scisignal.2002179
- https://doi.org//10.1002/JLB.2A0618-228R
- https://doi.org//10.1126/scisignal.2002373
- https://doi.org//10.1126/scisignal.aag2588
- https://doi.org//10.1021/pr900634c
- https://doi.org//10.1021/acs.analchem.6b04415
- https://doi.org//10.1038/ncb2463
- https://doi.org//10.1016/S1097-2765(00)00053-8
- https://doi.org//10.1038/nri1632
- https://doi.org//10.1016/j.imbio.2011.06.004
- https://doi.org//10.1016/j.immuni.2013.10.018
- https://doi.org//10.4049/jimmunol.0801191
- https://doi.org//10.1038/ni.2499
- https://doi.org//10.4049/jimmunol.1300847
- https://doi.org//10.1016/j.immuni.2008.02.001
- https://doi.org//10.1111/ajt.12405
- https://doi.org//10.1093/nar/gkv1145
Usage metrics
Read the peer-reviewed publication
Categories
- Transplantation Immunology
- Tumour Immunology
- Immunology not elsewhere classified
- Immunology
- Veterinary Immunology
- Animal Immunology
- Genetic Immunology
- Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
- Autoimmunity
- Cellular Immunology
- Humoural Immunology and Immunochemistry
- Immunogenetics (incl. Genetic Immunology)
- Innate Immunity
CC BY 4.0