کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2093294 1081951 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of Distinct Breast Cancer Stem Cell Populations Based on Single-Cell Analyses of Functionally Enriched Stem and Progenitor Pools
ترجمه فارسی عنوان
شناسایی جمعیت سلول های بنیادی سرطان پستان براساس تحلیل تک سلولی از استخرهای پروانه ای و غنی شده عملکردی
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوتکنولوژی یا زیست‌فناوری
چکیده انگلیسی


• ERα+ and ERα− breast cancer stem cells share a quiescent cancer stem cell pool
• Single-cell analysis identified distinct cancer stem cell populations in breast cancer
• Identified ERα+ breast cancer cell populations were hierarchically organized
• Switch-like and gradual transitions exist between ERα+ stem and progenitor pools

SummaryThe 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)α+ 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. ERα− breast cancer showed less prominent clustering but shared a quiescent cancer stem cell pool with ERα+ 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.

Graphical AbstractFigure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 6, Issue 1, 12 January 2016, Pages 121–136
نویسندگان
, , , , , ,