The transcriptomic and proteomic landscapes of bone marrow and secondary lymphoid tissues
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 la...
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creator | Andersson, Sandra Nilsson, Kenneth Fagerberg, Linn Hallström, Björn M Sundström, Christer Danielsson, Angelika Edlund, Karolina Uhlen, Mathias Asplund, Anna |
description | 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.
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.
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. |
doi_str_mv | 10.1371/journal.pone.0115911 |
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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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0115911</identifier><identifier>PMID: 25541736</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Affinity ; Appendix ; Appendix - metabolism ; Bioinformatics ; Biology ; Biology and life sciences ; Bone marrow ; Bone Marrow - metabolism ; comparative study ; controlled study ; erythrocyte ; Gene expression ; gene expression profiling ; Gene Expression Profiling - methods ; gene function ; gene identification ; gene location ; Gene sequencing ; gene targeting ; Genes ; genetic analysis ; genetic transcription ; Genome, Human ; Genomes ; Genomics ; High-Throughput Nucleotide Sequencing - methods ; human ; human cell ; human tissue ; Humans ; immunohistochemistry ; Immunology ; Laboratories ; Leukemia ; Leukocytes (neutrophilic) ; Lists ; Localization ; lymph node ; Lymph nodes ; Lymph Nodes - metabolism ; Lymphatic system ; lymphoid cell ; Lymphoid tissue ; neutrophil ; Ontology ; Pathology ; Patologi ; Proteins ; Proteome - analysis ; Proteome - genetics ; Proteomics ; Proteomics - methods ; Research and Analysis Methods ; Ribonucleic acid ; RNA ; RNA sequence ; Rodents ; Science ; Spleen ; Spleen - metabolism ; Tissues ; Transcriptome</subject><ispartof>PloS one, 2014-12, Vol.9 (12), p.e115911-e115911</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Andersson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Andersson et al 2014 Andersson et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c767t-f2cb04aeb31e62414094b77cbc985e0eb04a82dd37ee3b0fb580d42d7866cbb23</citedby><cites>FETCH-LOGICAL-c767t-f2cb04aeb31e62414094b77cbc985e0eb04a82dd37ee3b0fb580d42d7866cbb23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277406/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277406/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25541736$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159622$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243679$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Andersson, Sandra</creatorcontrib><creatorcontrib>Nilsson, Kenneth</creatorcontrib><creatorcontrib>Fagerberg, Linn</creatorcontrib><creatorcontrib>Hallström, Björn M</creatorcontrib><creatorcontrib>Sundström, Christer</creatorcontrib><creatorcontrib>Danielsson, Angelika</creatorcontrib><creatorcontrib>Edlund, Karolina</creatorcontrib><creatorcontrib>Uhlen, Mathias</creatorcontrib><creatorcontrib>Asplund, Anna</creatorcontrib><title>The transcriptomic and proteomic landscapes of bone marrow and secondary lymphoid tissues</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.</description><subject>Affinity</subject><subject>Appendix</subject><subject>Appendix - metabolism</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biology and life sciences</subject><subject>Bone marrow</subject><subject>Bone Marrow - metabolism</subject><subject>comparative study</subject><subject>controlled study</subject><subject>erythrocyte</subject><subject>Gene expression</subject><subject>gene expression profiling</subject><subject>Gene Expression Profiling - methods</subject><subject>gene function</subject><subject>gene identification</subject><subject>gene location</subject><subject>Gene sequencing</subject><subject>gene targeting</subject><subject>Genes</subject><subject>genetic analysis</subject><subject>genetic transcription</subject><subject>Genome, Human</subject><subject>Genomes</subject><subject>Genomics</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>human</subject><subject>human cell</subject><subject>human tissue</subject><subject>Humans</subject><subject>immunohistochemistry</subject><subject>Immunology</subject><subject>Laboratories</subject><subject>Leukemia</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lists</subject><subject>Localization</subject><subject>lymph node</subject><subject>Lymph nodes</subject><subject>Lymph Nodes - metabolism</subject><subject>Lymphatic system</subject><subject>lymphoid cell</subject><subject>Lymphoid tissue</subject><subject>neutrophil</subject><subject>Ontology</subject><subject>Pathology</subject><subject>Patologi</subject><subject>Proteins</subject><subject>Proteome - analysis</subject><subject>Proteome - genetics</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><subject>Research and Analysis Methods</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA sequence</subject><subject>Rodents</subject><subject>Science</subject><subject>Spleen</subject><subject>Spleen - 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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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25541736</pmid><doi>10.1371/journal.pone.0115911</doi><oa>free_for_read</oa></addata></record> |
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subjects | Affinity Appendix Appendix - metabolism Bioinformatics Biology Biology and life sciences Bone marrow Bone Marrow - metabolism comparative study controlled study erythrocyte Gene expression gene expression profiling Gene Expression Profiling - methods gene function gene identification gene location Gene sequencing gene targeting Genes genetic analysis genetic transcription Genome, Human Genomes Genomics High-Throughput Nucleotide Sequencing - methods human human cell human tissue Humans immunohistochemistry Immunology Laboratories Leukemia Leukocytes (neutrophilic) Lists Localization lymph node Lymph nodes Lymph Nodes - metabolism Lymphatic system lymphoid cell Lymphoid tissue neutrophil Ontology Pathology Patologi Proteins Proteome - analysis Proteome - genetics Proteomics Proteomics - methods Research and Analysis Methods Ribonucleic acid RNA RNA sequence Rodents Science Spleen Spleen - metabolism Tissues Transcriptome |
title | The transcriptomic and proteomic landscapes of bone marrow and secondary lymphoid tissues |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T19%3A23%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20transcriptomic%20and%20proteomic%20landscapes%20of%20bone%20marrow%20and%20secondary%20lymphoid%20tissues&rft.jtitle=PloS%20one&rft.au=Andersson,%20Sandra&rft.date=2014-12-26&rft.volume=9&rft.issue=12&rft.spage=e115911&rft.epage=e115911&rft.pages=e115911-e115911&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0115911&rft_dat=%3Cgale_plos_%3EA417793483%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1640559840&rft_id=info:pmid/25541736&rft_galeid=A417793483&rft_doaj_id=oai_doaj_org_article_fbdcd78b2714437e8c1631f4bd3c7fe2&rfr_iscdi=true |