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Mammalian Protein Subcellular Localization Database

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Summary Statistics
MouseHuman
Total proteins 58128 64637
Total TUs 29682 26583
Experimental SCL 2068
Literature SCL 9268 6900
Other SCL 14659 17666
Any SCL 20766 21349
Predicted motif data 30583 31198
Ortholog TUs 10102 10102

Membrane Organization
  Mouse Human
Soluble Proteins 44040 50029
Secreted 4231 4418
Cytoplasmic 39809 45611
Membrane Proteins 14088 14608
Type I 2038 2350
Type II 4687 5221
Multipass 7363 7037

LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set. The membrane organization is predicted by the high-throughput, computational pipeline MemO. The subcellular locations were determined by a high-throughput, immunofluorescence-based assay and by manually reviewing peer-reviewed publications.




If you are aware of published protein subcellular localization data that is not currently included in LOCATE, please contribute your information.


Subcellular Localization Mouse Human
Centrosome 135 325
Cytoplasmic 7716 8077
Cytoplasmic Puncta 140
Cytoplasmic Vesicles 298 359
Cytoskeleton 1068 471
Endoplasmic Reticulum 1588 1762
Endosomes 685 785
Early Endosomes 184 141
Late Endosomes 79 61
ERGIC 17 8
Extracellular 1079 2025
Golgi Apparatus 925 1541
Golgi Cis Cisterna 35 39
Golgi Trans Cisterna 8 16
Golgi Trans Face 114 23
Medial-Golgi 15 19
Lipid Particles 9 1
Lysosomes 474 531
Melanosome 48 58
Membrane Associated 137
Membrane Associated Unknown 27
Mitochondria 1554 1441
Inner Mitochondrial Membrane 389 52
Outer Mitochondrial Membrane 49 31
Nuclear 8076 9108
Nuclear Envelope 392 277
Nuclear Speckles 39 52
Nucleolus 1380 1623
Perinuclear Puncta 49
Peroxisome 222 217
Plasma Membrane 2820 5320
Apical Plasma Membrane 121 42
Basolateral Plasma Membrane 145 101
Reticular 159 0
Secretory Granule 84 100
Synaptic Vesicles 122 69
Tight Junction 140 47
Transport Vesicle 16 6

Copyright 2004, 2005, 2006, 2007 Institute of Molecular Bioscience, The University of Queensland and the ARC Centre in Bioinformatics
We gratefully acknowledge the support of the Australian Research Council.