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. 2020 Apr 28;19(7):1076–1087. doi: 10.1074/mcp.R120.001971

Table I. Global organelle profiling studies with large subcellular localization datasets (since 2016).

Profiling method/Lab Separation technique Quantification strategy Clustering method Visualization Cell type/tissue Refs Localization data available from
Protein Correlation Profiling (PCP) (Mann Lab) Velocity gradient centrifugation Label-free HC, PCP, SVM HC Mouse liver (18) http://nafld-organellemap.org/
HyperLOPIT (Lilley Lab) Density gradient centrifugation TMT SVM PCA Mouse ES cells (20) http://spatialmap.org/
SVM PCA U2OS (human) (15) Supplemental Data of Ref.
SVM PCA, t-SNE Arabdidopsis thaliana callus (22) Supplemental Data of Ref.
SVM PCA Saccharomyces cerevisiae (24) https://proteome.shinyapps.io/yeast2018/
SVM PCA Cyanobacterium synechocystis (23) https://lgatto.shinyapps.io/synechocystis/
LOPIT variant (Cristea Lab) Density gradient centrifugation TMT RF, NN, SVM t-SNE Human fibroblasts (25) Supplemental Data of Ref.
Dynamic Organellar Maps (Borner Lab) Differential centrifugation SILAC SVM PCA HeLa (human) (12) www.mapofthecell.org
Label-free; SILAC; TMT SVM PCA Mouse primary neurons (17) Supplemental Data of Ref.
SILAC SVM PCA MutuDC (mouse) (26) http://dc-biology.mrc-lmb.cam.ac.uk
LOPIT-DC (Lilley Lab) Differential centrifugation TMT SVM PCA U2OS (human) (27) https://proteome.shinyapps.io/lopitdc-u2os2018/
Prolocate (Lobel Lab) Differential and density gradient centrifugation iTRAQ, TMT PCP PCA Rat liver (19) http://prolocate.cabm.rutgers.edu/index.cgi
SubCellBarCode (Lehtiö Lab) Differential centrifugation and detergent extraction TMT SVM t-SNE A431, U251, MCF7, NCIH322, HCC827 (human) (21) https://www.subcellbarcode.org/

Other main resources for spatial proteomes are the imaging-based Human Cell Atlas (https://www.proteinatlas.org/humanproteome/cell), the first proximity labelling based organellar map (https://cell-map.org/), the UniProt database (https://www.uniprot.org), and the Compartments database (https://compartments.jensenlab.org/Search).

Abbreviations: HC, Hierarchical Clustering; NN, Neural Networks; PCA, Principal Component Analysis; PCP, Protein Correlation Profiling; RF, Random Forest; SVM, Support Vector Machine; t-SNE, t-distributed Stochastic Neighbor Embedding; UMAP, Uniform Manifold Approximation and Projection for Dimension Reduction.