miR-200 miRNAs repress tumor metastasis in lung adenocarcinoma
miR-200 miRNAs repress tumor metastasis in lung adenocarcinoma
批准号:
10265480
负责人:
Lin He
金额:
$37.33万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2024-03-31
关键词:
Biological AssayBiological ProcessCancer EtiologyCancer ModelCell physiologyCellsCellular biologyCessation of lifeClustered Regularly Interspaced Short Palindromic RepeatsCodeComplexDefectDevelopmentExhibitsFamilyGenesGenetically Engineered MouseGoalsIn VitroLung AdenocarcinomaLung NeoplasmsMalignant neoplasm of lungMediatingMicroRNAsModelingMolecularMolecular BiologyMusMutationNatureNeoplasm MetastasisNonmetastaticPhenotypePlayProcessProteinsRegulationRepressionRoleTP53 geneTranscriptional RegulationUntranslated RNAValidationanticancer researchbasediagnostic biomarkergenome editinggenomic locusin vivoinsightmouse geneticsmouse modelnovel diagnosticstherapeutic targettranscription factortumortumor progression
中文摘要
项目总结
肺癌是全球癌症死亡的主要原因,很大程度上是由于其高度转移性。
大自然。因此,阐明肿瘤转移的分子机制仍然是目前研究的热点之一。
肺癌研究中最紧迫的挑战。到目前为止,大多数关于癌症转移的研究
都专注于蛋白质编码基因,但越来越清楚的是,非编码基因
RNAs,特别是microRNAs(MiRNAs),是
肿瘤转移,使用Kras驱动的,p53缺失的肺腺癌小鼠模型,我们
比较了原发和转移性肺肿瘤的miRNA表达谱,以及
发现miR-200 miRNAs是肺癌转移中表达下调最严重的miRNAs。这个
MiR-200家族由位于两个基因组座位的五个同源miRNAs组成:miR-200
200B/200A/429和MIR-200C/141。为了研究miR-200在肺癌转移中的作用,
我们产生了KrasLSL-G12D/+;p53fl/fl;mir-200C/141-/-(KP200cKO)小鼠,它们表现出显著的
短潜伏期内肿瘤转移增加。有趣的是,所有转移的KP200cKO
被检查的肿瘤显示所有miR-200 miRNAs完全沉默,这表明
MiR-200冗余的完全丧失是发生这种癌症转移的关键
模特。基于这些初步发现,我们假设miR-200 miRNAs是关键
Kras基因驱动、P53缺失的肺腺癌中的肿瘤转移抑制因子。vbl.使用
小鼠遗传学,CRISPR基因组编辑,细胞和分子方法,我们建议
综合表征miR-200 miRNAs在肺癌中的重要性
转移,并将阐明管理的潜在分子和细胞机制
MiR-200 miRNAs的生物学功能和转录调控。我们建议的研究将
为抑制肺癌转移的高度可靠的机制提供重要的见解。
英文摘要
Project summary
Lung cancer is the leading cause of cancer death worldwide, largely due to its highly metastatic
nature. Hence, elucidating the molecular mechanisms for tumor metastasis remains one of the
most pressing challenges in lung cancer research. To date, most studies on cancer metastasis
have focused on protein-coding genes, yet it has become increasingly clear that non-coding
RNAs, particularly, microRNAs (miRNAs), are integral components of the molecular network for
cancer metastasis, Using a Kras-driven, p53 deficient lung adenocarcinoma mouse model, we
compared the miRNA expression profiles between primary and metastatic lung tumors, and
identified miR-200 miRNAs as the most downregulated miRNAs in lung cancer metastases. The
miR-200 family consists of five homologous miRNAs located at two genomic loci: mir-
200b/200a/429 and mir-200c/141. To characterize miR-200 functions in lung cancer metastasis,
we generated KrasLSL-G12D/+;p53fl/fl; mir-200c/141-/- (KP200cKO) mice, which exhibited a significant
increase of tumor metastases within a short latency. Interestingly, all metastatic KP200cKO
tumors examined exhibited a complete silencing of all miR-200 miRNAs, suggesting that a
complete loss of miR-200 redundancy was essential for developing cancer metastasis in this
model. Based on these preliminary findings, we hypothesize that miR-200 miRNAs are key
repressors of cancer metastasis in Kras-driven, p53 deficient lung adenocarcinomas. Using
mouse genetics, CRISPR genome editing, cell and molecular approaches, we propose to
comprehensively characterize the importance of miR-200 miRNAs during lung cancer
metastasis, and will elucidate the underlying molecular and cellular mechanisms that govern the
biological functions and transcriptional regulation of miR-200 miRNAs. Our proposed studies will
provide important insights into a highly robust mechanism to repress lung cancer metastasis.
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DOI:
10.1016/j.biocel.2010.03.004
发表时间:
2010-08
期刊:
INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY
影响因子:
4
作者:
[Olive, Virginie, Jiang, Iris, He, Lin]
通讯作者:
He, Lin
DOI:
10.7554/elife.00822
发表时间:
2013-10-15
期刊:
eLife
影响因子:
7.7
作者:
[Olive V, Sabio E, Bennett MJ, De Jong CS, Biton A, McGann JC, Greaney SK, Sodir NM, Zhou AY, Balakrishnan A, Foth M, Luftig MA, Goga A, Speed TP, Xuan Z, Evan GI, Wan Y, Minella AC, He L]
通讯作者:
He L
DOI:
10.1007/s00204-014-1223-9
发表时间:
2014-09
期刊:
Archives of toxicology
影响因子:
6.1
作者:
[Mor E, He L, Torchinsky A, Shomron N]
通讯作者:
Shomron N
DOI:
10.1126/scisignal.3146pe39
发表时间:
2010-11-02
期刊:
Science signaling
影响因子:
7.3
作者:
[He L]
通讯作者:
He L
DOI:
10.1038/nprot.2018.012
发表时间:
2018-06
期刊:
Nature protocols
影响因子:
14.8
作者:
[Modzelewski AJ, Chen S, Willis BJ, Lloyd KCK, Wood JA, He L]
通讯作者:
He L
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