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Identification of D...
Identification of Distinct Breast Cancer Stem Cell Populations Based on Single-Cell Analyses of Functionally Enriched Stem and Progenitor Pools
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- Akrap, Nina (författare)
- Gothenburg University,Göteborgs universitet,Sahlgrenska Cancer Center,Institutionen för biomedicin, avdelningen för patologi,Institute of Biomedicine, Department of Pathology
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- Andersson, Daniel, 1979 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för patologi,Sahlgrenska Cancer Center,Institute of Biomedicine, Department of Pathology
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- Bom, Eva (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för patologi,Sahlgrenska Cancer Center,Institute of Biomedicine, Department of Pathology
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- Gregersson, Pernilla (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för patologi,Sahlgrenska Cancer Center,Institute of Biomedicine, Department of Pathology
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- Ståhlberg, Anders, 1975 (författare)
- Gothenburg University,Göteborgs universitet,Sahlgrenska Cancer Center,Institutionen för biomedicin, avdelningen för patologi,Institute of Biomedicine, Department of Pathology
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- Landberg, Göran, 1963 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för patologi,Sahlgrenska Cancer Center,Institute of Biomedicine, Department of Pathology
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(creator_code:org_t)
- Elsevier BV, 2016
- 2016
- Engelska.
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Ingår i: Stem Cell Reports. - : Elsevier BV. - 2213-6711. ; 6:1, s. 121-136
- Relaterad länk:
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http://www.cell.com/...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The identification of breast cancer cell subpopulations featuring truly malignant stem cell qualities is a challenge due to the complexity of the disease and lack of general markers. By combining extensive single-cell gene expression profiling with three functional strategies for cancer stem cell enrichment including anchorage-independent culture, hypoxia, and analyses of low-proliferative, label-retaining cells derived from mammospheres, we identified distinct stem cell clusters in breast cancer. Estrogen receptor (ER)alpha+ tumors featured a clear hierarchical organization with switch-like and gradual transitions between different clusters, illustrating how breast cancer cells transfer between discrete differentiation states in a sequential manner. ER alpha- breast cancer showed less prominent clustering but shared a quiescent cancer stem cell pool with ER alpha+ cancer. The cellular organization model was supported by single-cell data from primary tumors. The findings allow us to understand the organization of breast cancers at the single-cell level, thereby permitting better identification and targeting of cancer stem cells.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- in-vitro propagation
- expression
- heterogeneity
- subtypes
- markers
- tumors
- aldh1
- state
- lines
- Cell Biology
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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