4), compared to other tissues. enriched or enhanced expression in one or more of the lymphohematopoietic tissues, compared to other tissue-types, was seen for 693 out of 20,050 genes, and the highest levels of expression were found in bone marrow for neutrophilic and erythrocytic genes. A majority of these genes were found to constitute well-characterized genes with known functions in lymphatic or hematopoietic cells, while others are not previously analyzed, as exemplified byC19ORF59. == Conclusions == In this paper we present a strategy of combining next generation RNA-sequencing within situaffinity-based proteomics in order to identify and describe new gene targets for further research on lymphatic or hematopoietic cells and tissues. The results constitute lists of genes with enriched or enhanced expression in the four lymphohematopoietic tissues, exemplified also on protein level with immunohistochemical images. == Introduction == Since 2003, the Human Protein Atlas (HPA) project has systematically explored the human proteome in a range of normal tissues, cancers and cell lines. The effort is based on a unique set-up of high throughput generation of affinity-purified polyclonal antibodies forin situprotein detection using immunohistochemistry Cd63 (IHC) and immunofluorescence (IF) on cautiously designed tissue- and cell microarrays[1][3]. The output of the project is usually a publically available Protein Atlas[4], in which all IHC and IF images along with antibody validation and annotation data are published. In version 12 of the Protein Atlas, data for 21,984 antibodies are included, targeting the protein products of 16,621 unique genes, i.e. 82% of human protein coding genes. LY 541850 Mapping the human proteome is challenging, as evidence on protein level is missing for more than 30% of the human protein coding genes[5], and consequently a large portion of the human proteome remains unexplored. Several gene expression atlases for global gene expression data on a RNA-level have been launched, such as the Expression Atlas[6], the transcriptional profiling in human and mouse tissues using custom designed Affymetrix chips[7], the centralized gene expression portal BioGPS[8], the repository ArrayExpress[9]and the RNAseq Atlas[10]with transcriptomics data based on deep sequencing of eleven normal human tissue types. These efforts constitute important resources for any project aiming at in-depth analyses of specific genes or at global systems biology studies for an understanding of human biology and disease. Since 2013, the Protein Atlas also includes transcriptomic data from 27 histologically normal tissues, and the considerable data collection on both transcript and protein level has enabled a unique comparative study covering most tissues and cell types in the human body for characterization of housekeeping as well as tissue-specific gene expression patterns[11]. IHC offers a visual representation of protein localization with a cellular spatial resolution in complex tissues, and LY 541850 serves as a valuable match to global gene expression analyses of transcript levels performed on tissue lysates. The global transcriptomic analysis using deep RNA-sequencing in combination with IHC offers the possibility to identify previously unexplored expression patterns, and to add an additional layer of information regarding cell type and subcellular localization of the expressed protein. In this article we explore the gene expression profiles in bone marrow, spleen, lymph node and appendix using transcriptomics analysis using next generation deep sequencing (RNAseq). These four tissues, differing LY 541850 in both histology and function, were selected because they have in common the feature of harboring a major cell populace of hematopoietic origin, i.e. lymphoid cells. Bone marrow is considered a primary lymphoid organ, and displays the widest range of hematopoietic cells, as it also constitutes the site for hematopoiesis. Secondary lymphoid organs lymph node, appendix and spleen harbor a pronounced populace of lymphoid cells, as these are main sites for e.g. antigen-driven affinity maturation, somatic hypermutation and immunoglobulin class switch.