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Non-coding RNA functions in tumor metastasis

Non-coding RNA functions in tumor metastasis
非编码RNA在肿瘤转移中的作用
批准号:
10531262
负责人:
Li Ma
金额:
$35.28万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-01 至 2024-11-30

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中文摘要
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英文摘要
Although great advances have been made in combatting cancer, particularly at its early stages, metastasis remains a formidable and frequently fatal challenge. It has become evident that non-coding RNAs, including microRNAs and long non-coding RNAs (lncRNAs), are components of molecular networks regulating metastasis. Some lncRNAs are known to have opposing functions to their genomic locus; for instance, opposite phenotypes have been reported from the lncRNA Haunt gene deletion and insertional inactivation, and interestingly, the Haunt gene deletion effect was due to the loss of the genomic DNA but not the loss of Haunt RNA. Thus, a major challenge in lncRNA research is whether phenotypes resulting from deleting or inactivating a lncRNA gene can be unequivocally attributed either to the loss of the lncRNA per se or to the loss of overlapping regulatory elements. MALAT1 (metastasis associated lung adenocarcinoma transcript 1) is among the most abundant and conserved lncRNAs in normal tissues, and has previously been described as a metastasis promoter. However, there is no evidence that the previously reported Malat1 gene deletion (which led to upregulation of multiple Malat1's adjacent genes) or antisense RNA (which has never been validated by rescue experiments or by MALAT1 knockout cells) effect was specific to Malat1 lncRNA loss. Unexpectedly, using a transcriptional terminator insertion strategy, we found that disrupting the Malat1 gene without altering the expression of its adjacent genes in a transgenic mouse model of breast cancer drastically promoted lung metastasis, and importantly, this phenotype was completely reversed by genetic add-back of Malat1. Moreover, CRISPR-Cas9- mediated knockout of MALAT1 in human breast cancer cells induced their metastatic ability, which was reversed by Malat1 re-expression. Conversely, overexpression of Malat1 suppressed breast cancer metastasis in both transgenic mice and xenograft models. Mechanistically, we used a recently developed chromatin isolation by RNA purification-mass spectrometry (ChIRP-MS) approach to identify TEAD family members as binding proteins for MALAT1 at the endogenous level from primary mammary tumor tissues, and discovered that MALAT1 binds, sequesters, and inactivates the pro-metastatic transcription factor TEAD. We also found an inverse correlation of MALAT1 levels with breast cancer progression and metastasis. Based on these important findings, we propose to comprehensively characterize the loss-of-function and gain-of-function effects of MALAT1 in breast cancer metastasis, using genetically engineered mouse models, transplantation models, syngeneic models, xenograft models, and CRISPR-Cas9 genome editing approaches (Specific Aim 1); we will also elucidate the mechanism by which MALAT1 regulates metastasis (Specific Aim 2). This project will lead to a major revision of the current model for a highly abundant and conserved lncRNA, and will profoundly advance the understanding of lncRNA's functions and mechanisms of action in tumor metastasis.
期刊论文(32)
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科研奖励(0)
会议论文
Monoubiquitination in Homeostasis and Cancer.
稳态和癌症中的单泛素化
DOI: 10.3390/ijms23115925
发表时间: 2022-05-25
期刊: International journal of molecular sciences
影响因子: 5.6
作者: []
通讯作者:
DOI: 10.1038/ncb3013
发表时间: 2014-09
期刊: Nature cell biology
影响因子: 21.3
作者: []
通讯作者:
DOI: 10.1038/s41588-018-0252-3
发表时间: 2018-12
期刊: Nature genetics
影响因子: 30.8
作者: [Kim J, Piao HL, Kim BJ, Yao F, Han Z, Wang Y, Xiao Z, Siverly AN, Lawhon SE, Ton BN, Lee H, Zhou Z, Gan B, Nakagawa S, Ellis MJ, Liang H, Hung MC, You MJ, Sun Y, Ma L]
通讯作者: Ma L
Deubiquitylation and stabilization of PTEN by USP13.
USP13对PTEN的去泛素化和稳定。
DOI: 10.1038/ncb2874
发表时间: 2013-12
期刊: Nature cell biology
影响因子: 21.3
作者: []
通讯作者:
23
    Targeting the LIFR-LCN2 pathway to improve liver cancer therapy
    Statistical modeling of cross-sample variation and learning of latent structures in microbiome sequencing data
    • 批准号:
      10688000
    • 项目类别:
    • 资助金额:
      $34.57万
    • 财政年份:
      2020
    • 负责人:
      Li Ma
    • 依托单位:
    Statistical modeling of cross-sample variation and learning of latent structures in microbiome sequencing data
    • 批准号:
      10263932
    • 项目类别:
    • 资助金额:
      $34.69万
    • 财政年份:
      2020
    • 负责人:
      Li Ma
    • 依托单位:
    Statistical modeling of cross-sample variation and learning of latent structures in microbiome sequencing data
    • 批准号:
      10468838
    • 项目类别:
    • 资助金额:
      $34.63万
    • 财政年份:
      2020
    • 负责人:
      Li Ma
    • 依托单位:
    国内基金
    海外基金
    基于小鼠多组织和细胞链特异性RNA-seq数据的Antisense RNA分析及数据库构建