Expression profile analysis of long non-coding RNA in acute myeloid leukemia by microarray and bioinformatics.
Expression profile analysis of long non-coding RNA in acute myeloid leukemia by microarray and bioinformatics.
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DOI：
10.1111/cas.13465
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发表时间：
2018-03
期刊：
影响因子：
5.7
通讯作者：
He A
中科院分区：
文献类型：
--
作者：
Feng Y;Shen Y;Chen H;Wang X;Zhang R;Peng Y;Lei X;Liu T;Liu J;Gu L;Wang F;Yang Y;Bai J;Wang J;Zhao W;He A
长非编码 RNA (lncRNA) 是长度超过 200 nt 的转录物，参与肿瘤发生并在癌症进展中发挥关键作用。为了确定 lncRNA 是否参与急性髓系白血病 (AML)，我们分析了 AML 中 lncRNA 和 mRNA 的表达谱。通过微阵列对五对 AML 患者和缺铁性贫血 (IDA) 对照进行筛查。通过共表达分析，将不同表达的转录物分为模块，并对lncRNA进行功能注释。我们进一步分析了公共数据模块中关键 lncRNA 的临床意义。最后，通过定量RT-PCR验证了三种lncRNA RP11-222K16.2、AC092580.4和RP11-305O.6在新诊断的AML、AML复发和IDA患者组中的表达，这可能与AML患者的总生存期相关。进一步分析表明，RP11-222K16.2可能影响自然杀伤细胞的分化，通过调节Eomesodermin的表达促进AML的免疫逃避。这项研究的分析表明，与 IDA 对照相比，AML 和 IDA 对照中失调的 lncRNA 和 mRNA 可能会影响免疫系统和造血细胞分化。这些lncRNA的生物学功能需要进一步验证。
Long non‐coding RNAs (lncRNAs) are transcripts longer than 200 nt that are involved in tumorigenesis and play a key role in cancer progression. To determine whether lncRNAs are involved in acute myeloid leukemia (AML), we analyzed the expression profile of lncRNAs and mRNAs in AML. Five pairs of AML patients and iron deficiency anemia (IDA) controls were screened by microarray. Through coexpression analysis, differently expressed transcripts were divided into modules, and lncRNAs were functionally annotated. We further analyzed the clinical significance of crucial lncRNAs from modules in public data. Finally, the expression of three lncRNAs, RP11‐222K16.2, AC092580.4, and RP11‐305O.6, were validated in newly diagnosed AML, AML relapse, and IDA patient groups by quantitative RT‐PCR, which may be associated with AML patients’ overall survival. Further analysis showed that RP11‐222K16.2 might affect the differentiation of natural killer cells, and promote the immunized evasion of AML by regulating Eomesodermin expression. Analysis of this study revealed that dysregulated lncRNAs and mRNAs in AML vs IDA controls could affect the immune system and hematopoietic cell differentiation. The biological functions of those lncRNAs need to be further validated.
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影响因子：
37.3
作者：
Gibb EA;Brown CJ;Lam WL
通讯作者：
Lam WL
影响因子：
11.1
作者：
Bonasio R;Shiekhattar R
通讯作者：
Shiekhattar R
WGCNA：用于加权相关网络分析的 R 包。
影响因子：
3
作者：
Langfelder P;Horvath S
通讯作者：
Horvath S
影响因子：
4.4
作者：
Ilyas AM;Ahmad S;Faheem M;Naseer MI;Kumosani TA;Al-Qahtani MH;Gari M;Ahmed F
通讯作者：
Ahmed F
影响因子：
4.5
作者：
Garding A;Bhattacharya N;Claus R;Ruppel M;Tschuch C;Filarsky K;Idler I;Zucknick M;Caudron-Herger M;Oakes C;Fleig V;Keklikoglou I;Allegra D;Serra L;Thakurela S;Tiwari V;Weichenhan D;Benner A;Radlwimmer B;Zentgraf H;Wiemann S;Rippe K;Plass C;Döhner H;Lichter P;Stilgenbauer S;Mertens D
通讯作者：
Mertens D