Home > Publications database > Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization. > print |
001 | 148828 | ||
005 | 20240229123035.0 | ||
024 | 7 | _ | |a 10.1038/s41556-019-0439-6 |2 doi |
024 | 7 | _ | |a pmid:31871321 |2 pmid |
024 | 7 | _ | |a 1465-7392 |2 ISSN |
024 | 7 | _ | |a 1476-4679 |2 ISSN |
024 | 7 | _ | |a altmetric:73175394 |2 altmetric |
037 | _ | _ | |a DKFZ-2020-00020 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Baccin, Chiara |0 0000-0003-1251-6947 |b 0 |
245 | _ | _ | |a Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization. |
260 | _ | _ | |a New York, NY |c 2020 |b Nature America |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1634816177_21237 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a DKFZ-ZMBH Alliance2020 Jan;22(1):38-48#LA:A010# |
520 | _ | _ | |a The bone marrow constitutes the primary site for life-long blood production and skeletal regeneration. However, its cellular and spatial organization remains controversial. Here, we combine single-cell and spatially resolved transcriptomics to systematically map the molecular, cellular and spatial composition of distinct bone marrow niches. This allowed us to transcriptionally profile all major bone-marrow-resident cell types, determine their localization and clarify sources of pro-haematopoietic factors. Our data demonstrate that Cxcl12-abundant-reticular (CAR) cell subsets (Adipo-CAR and Osteo-CAR) differentially localize to sinusoidal and arteriolar surfaces, act locally as 'professional cytokine-secreting cells' and thereby establish peri-vascular micro-niches. Importantly, the three-dimensional bone-marrow organization can be accurately inferred from single-cell transcriptome data using the RNA-Magnet algorithm described here. Together, our study reveals the cellular and spatial organization of bone marrow niches and offers a systematic approach to dissect the complex organization of whole organs. |
536 | _ | _ | |a 311 - Signalling pathways, cell and tumor biology (POF3-311) |0 G:(DE-HGF)POF3-311 |c POF3-311 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
700 | 1 | _ | |a Al-Sabah, Jude |0 P:(DE-He78)390ea815e61688e5fee33b98ed4180eb |b 1 |e First author |
700 | 1 | _ | |a Velten, Lars |0 0000-0002-1233-5874 |b 2 |
700 | 1 | _ | |a Helbling, Patrick M |0 0000-0001-6488-2805 |b 3 |
700 | 1 | _ | |a Grünschläger, Florian |0 P:(DE-He78)6b879b5f67d8b3bcdffc7c01cbf8d1f1 |b 4 |
700 | 1 | _ | |a Hernández-Malmierca, Pablo |0 0000-0003-4529-384X |b 5 |
700 | 1 | _ | |a Nombela-Arrieta, César |0 0000-0003-0415-259X |b 6 |
700 | 1 | _ | |a Steinmetz, Lars M |0 0000-0002-3962-2865 |b 7 |
700 | 1 | _ | |a Trumpp, Andreas |0 P:(DE-He78)732f4fbcddb0042251aa759a2e74d3b2 |b 8 |e Last author |
700 | 1 | _ | |a Haas, Simon |0 P:(DE-He78)a5ec4e2fef99022a37a6b07c2fdd6325 |b 9 |e Last author |
773 | _ | _ | |a 10.1038/s41556-019-0439-6 |0 PERI:(DE-600)1494945-3 |n 1 |p 38-48 |t Nature cell biology |v 22 |y 2020 |x 1476-4679 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:148828 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)390ea815e61688e5fee33b98ed4180eb |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 4 |6 P:(DE-He78)6b879b5f67d8b3bcdffc7c01cbf8d1f1 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 5 |6 0000-0003-4529-384X |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 8 |6 P:(DE-He78)732f4fbcddb0042251aa759a2e74d3b2 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 9 |6 P:(DE-He78)a5ec4e2fef99022a37a6b07c2fdd6325 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-311 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-300 |4 G:(DE-HGF)POF |v Signalling pathways, cell and tumor biology |x 0 |
914 | 1 | _ | |y 2020 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NAT CELL BIOL : 2017 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
915 | _ | _ | |a IF >= 15 |0 StatID:(DE-HGF)9915 |2 StatID |b NAT CELL BIOL : 2017 |
920 | 2 | _ | |0 I:(DE-He78)A010-20160331 |k A010 |l A010 Stammzellen und Krebs |x 0 |
920 | 1 | _ | |0 I:(DE-He78)A010-20160331 |k A010 |l A010 Stammzellen und Krebs |x 0 |
920 | 1 | _ | |0 I:(DE-He78)V960-20160331 |k V960 |l V960 HI-Stem |x 1 |
920 | 1 | _ | |0 I:(DE-He78)HD01-20160331 |k HD01 |l DKTK HD zentral |x 2 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)A010-20160331 |
980 | _ | _ | |a I:(DE-He78)V960-20160331 |
980 | _ | _ | |a I:(DE-He78)HD01-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|