Abstract The recognition of tumor tissue as an interactive ecosystem of distinct cell types has recently emerged as a very promising basis for more successful treatment of cancer patients. While intratumor heterogeneity (ITH) as a phenomenon has been known for decades it is only recent that its functional significance can be investigated with effective tools. Starting with a correlation of cellular heterogeneity with aggressiveness, metastatic potential and drug susceptibility of a cancerous lesion the current focus on functional differences between various tumor cell compartments is revealing a number of distinct functions and interactions. The discovery of communication between various tumor cells through soluble factors as well as differences in implantation of homogeneous vs. heterogeneous cell populations into immune compromised mouse models suggest a “division of labor” among cell types within many tumor tissues. We have investigated the surface marker distribution of more than 8 different PDX tumor models by flow cytometry and detected extensive immunophenotypic heterogeneity. Using a range of markers associated with cancer stem cells, EMT and invasiveness (e.g. CD 24, 44, 133, 184, 326 (EpCAM), and CD45) we find heterogeneity with respect to many surface markers as well as individual immunophenotypic signatures for each model. Building on this characterization we chose several markers for sorting of subpopulations and performed gene expression analysis. Transcriptome analysis of a breast cancer model revealed two phenotypic signatures which suggest a strong proliferative population alongside a second population which is far less proliferative but much more active in angiogenesis, ECM organization and secretion of various soluble factors. This observation suggests a very clear example of distinct roles of multiple cell types to form a tumor tissue. Our findings could have implications for therapeutic strategies directed at more than one cell type as well as development of better diagnostic tools which take into account the presence of various phenotypically distinct cell populations. Citation Format: Warren Porter, Friedrich Hahn, Eileen Snowden, Mitchell Ferguson, Frances Tong, Shannon Dillmore, Joel S. Parker, Aaron Middlebrook, Smita Ghanekar, Rainer Blaesius. Flow cytometric sorting of subpopulations followed by RNASeq reveals distinct phenotypes in PDX model of basal breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2391.