| Title |
Mammary Tumor-Associated RNAs Impact Tumor Cell Proliferation, Invasion, and Migration
|
|---|---|
| Published in |
Cell Reports, September 2016
|
| DOI | 10.1016/j.celrep.2016.08.081 |
| Pubmed ID | |
| Authors | |
| Abstract |
Long non-coding RNAs (lncRNAs) represent the largest and most diverse class of non-coding RNAs, comprising almost 16,000 currently annotated transcripts in human and 10,000 in mouse. Here, we investigated the role of lncRNAs in mammary tumors by performing RNA-seq on tumor sections and organoids derived from MMTV-PyMT and MMTV-Neu-NDL mice. We identified several hundred lncRNAs that were overexpressed compared to normal mammary epithelium. Among these potentially oncogenic lncRNAs we prioritized a subset as Mammary Tumor Associated RNAs (MaTARs) and determined their human counterparts, hMaTARs. To functionally validate the role of MaTARs, we performed antisense knockdown and observed reduced cell proliferation, invasion, and/or organoid branching in a cancer-specific context. Assessing the expression of hMaTARs in human breast tumors revealed that 19 hMaTARs are significantly upregulated and many of these correlate with breast cancer subtype and/or hormone receptor status, indicating potential clinical relevance. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| United Kingdom | 2 | 20% |
| France | 2 | 20% |
| Spain | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Members of the public | 2 | 20% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 15% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Bachelor | 13 | 13% |
| Student > Master | 13 | 13% |
| Other | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 27 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 37% |
| Agricultural and Biological Sciences | 15 | 15% |
| Neuroscience | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 5 | 5% |
| Unknown | 29 | 29% |