title: The transcriptomic and proteomic landscapes of bone marrow and secondary lymphoid tissues.
abstract: BACKGROUND
  The sequencing of the human genome has opened doors for global gene expression profiling, and the immense amount of data will lay an important ground for future studies of normal and diseased tissues. The Human Protein Atlas project aims to systematically map the human gene and protein expression landscape in a multitude of normal healthy tissues as well as cancers, enabling the characterization of both housekeeping genes and genes that display a tissue-specific expression pattern. This article focuses on identifying and describing genes with an elevated expression in four lymphohematopoietic tissue types (bone marrow, lymph node, spleen and appendix), based on the Human Protein Atlas-strategy that combines high throughput transcriptomics with affinity-based proteomics.
  
  
  RESULTS
  An 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 studied, as exemplified by C19ORF59.
  
  
  CONCLUSIONS
  In this paper we present a strategy of combining next generation RNA-sequencing with in situ affinity-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.
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
authors.forename: Sandra
authors.initials: S
authors.lastname: Andersson
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
authors.forename: Kenneth
authors.initials: K
authors.lastname: Nilsson
authors.affiliation: Science for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
authors.forename: Linn
authors.initials: L
authors.lastname: Fagerberg
authors.affiliation: Science for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
authors.forename: Björn M
authors.initials: BM
authors.lastname: Hallström
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
authors.forename: Christer
authors.initials: C
authors.lastname: Sundström
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
authors.forename: Angelika
authors.initials: A
authors.lastname: Danielsson
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at Dortmund TU, Dortmund, Germany.
authors.forename: Karolina
authors.initials: K
authors.lastname: Edlund
authors.affiliation: Science for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
authors.forename: Mathias
authors.initials: M
authors.lastname: Uhlen
authors.affiliation: Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
authors.forename: Anna
authors.initials: A
authors.lastname: Asplund
mesh_terms: D001065:Appendix / Q000378:metabolism*; D001853:Bone Marrow / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods; D015894:Genome, Human; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D006801:Humans; D008198:Lymph Nodes / Q000378:metabolism*; D020543:Proteome / Q000032:analysis / Q000235:genetics; D040901:Proteomics / Q000379:methods; D013154:Spleen / Q000378:metabolism*; D059467:Transcriptome
chemical_list: D020543:Proteome