• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Chromatin Accessibility Identifies Regulatory Elements Predictive of Gene Expression and Disease Outcome in Multiple Myeloma.染色质可及性鉴定多发性骨髓瘤中预测基因表达和疾病结局的调控元件。
Clin Cancer Res. 2021 Jun 1;27(11):3178-3189. doi: 10.1158/1078-0432.CCR-20-2931. Epub 2021 Mar 17.
2
Active enhancer and chromatin accessibility landscapes chart the regulatory network of primary multiple myeloma.活性增强子和染色质可及性图谱描绘了原发性多发性骨髓瘤的调控网络。
Blood. 2018 May 10;131(19):2138-2150. doi: 10.1182/blood-2017-09-808063. Epub 2018 Mar 8.
3
Dissecting the Epigenome Driving Drug Resistance by ATAC-Seq.通过 ATAC-Seq 解析驱动耐药性的表观基因组。
Methods Mol Biol. 2022;2535:171-185. doi: 10.1007/978-1-0716-2513-2_14.
4
The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma.新诊断多发性骨髓瘤分子亚群中异常基因表达的功能表观遗传景观。
J Hematol Oncol. 2020 Aug 6;13(1):108. doi: 10.1186/s13045-020-00933-y.
5
The transcription factor GLI1 cooperates with the chromatin remodeler SMARCA2 to regulate chromatin accessibility at distal DNA regulatory elements.转录因子 GLI1 与染色质重塑因子 SMARCA2 合作,调节远端 DNA 调控元件的染色质可及性。
J Biol Chem. 2020 Jun 26;295(26):8725-8735. doi: 10.1074/jbc.RA120.013268. Epub 2020 May 6.
6
Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks.慢性淋巴细胞白血病的染色质可及性图谱确定了亚型特异性的表观基因组特征和转录调控网络。
Nat Commun. 2016 Jun 27;7:11938. doi: 10.1038/ncomms11938.
7
Multiple myeloma immunoglobulin lambda translocations portend poor prognosis.多发性骨髓瘤免疫球蛋白 λ 易位预示预后不良。
Nat Commun. 2019 Apr 23;10(1):1911. doi: 10.1038/s41467-019-09555-6.
8
Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma.单细胞 RNA 测序揭示复发多发性骨髓瘤的克隆多样性和预后基因。
Clin Transl Med. 2022 Mar;12(3):e757. doi: 10.1002/ctm2.757.
9
Optimization of ATAC-seq in wheat seedling roots using INTACT-isolated nuclei.利用 INTACT 分离的细胞核优化小麦幼苗根中的 ATAC-seq。
BMC Plant Biol. 2023 May 22;23(1):270. doi: 10.1186/s12870-023-04281-0.
10
Prognostic significance of esterase gene expression in multiple myeloma.酯酶基因表达在多发性骨髓瘤中的预后意义。
Br J Cancer. 2021 Apr;124(8):1428-1436. doi: 10.1038/s41416-020-01237-1. Epub 2021 Feb 3.

引用本文的文献

1
Aberrant non-canonical NF-κB signalling reprograms the epigenome landscape to drive oncogenic transcriptomes in multiple myeloma.异常的非经典 NF-κB 信号转导重新编程表观基因组景观,以驱动多发性骨髓瘤中的致癌转录组。
Nat Commun. 2024 Mar 21;15(1):2513. doi: 10.1038/s41467-024-46728-4.
2
Inhibition of Ephrin B2 Reverse Signaling Abolishes Multiple Myeloma Pathogenesis.抑制 Ephrin B2 反向信号可消除多发性骨髓瘤的发病机制。
Cancer Res. 2024 Mar 15;84(6):919-934. doi: 10.1158/0008-5472.CAN-23-1950.
3
Impact of Rare Structural Variant Events in Newly Diagnosed Multiple Myeloma.新发多发性骨髓瘤中罕见结构变异事件的影响。
Clin Cancer Res. 2024 Feb 1;30(3):575-585. doi: 10.1158/1078-0432.CCR-23-1045.
4
ETV4-Dependent Transcriptional Plasticity Maintains MYC Expression and Results in IMiD Resistance in Multiple Myeloma.ETV4 依赖性转录可塑性维持 MYC 表达并导致多发性骨髓瘤对 IMiD 耐药。
Blood Cancer Discov. 2024 Jan 8;5(1):56-73. doi: 10.1158/2643-3230.BCD-23-0061.
5
Transcriptional Heterogeneity Overcomes Super-Enhancer Disrupting Drug Combinations in Multiple Myeloma.转录异质性克服多发性骨髓瘤中超增强子破坏药物组合。
Blood Cancer Discov. 2024 Jan 8;5(1):34-55. doi: 10.1158/2643-3230.BCD-23-0062.
6
Metastatic Infiltration of Nervous Tissue and Periosteal Nerve Sprouting in Multiple Myeloma-Induced Bone Pain in Mice and Human.多发性骨髓瘤诱导的小鼠和人骨痛中的神经组织转移浸润和骨膜神经末梢发芽。
J Neurosci. 2023 Jul 19;43(29):5414-5430. doi: 10.1523/JNEUROSCI.0404-23.2023. Epub 2023 Jun 7.
7
Parallel recovery of chromatin accessibility and gene expression dynamics from frozen human regulatory T cells.从冷冻的人类调节性 T 细胞中平行恢复染色质可及性和基因表达动力学。
Sci Rep. 2023 Apr 4;13(1):5506. doi: 10.1038/s41598-023-32256-6.
8
A temporal in vivo catalog of chromatin accessibility and expression profiles in pineoblastoma reveals a prevalent role for repressor elements.松果体母细胞瘤染色质可及性和表达谱的时间分辨体内目录揭示了抑制元件的普遍作用。
Genome Res. 2023 Feb;33(2):269-282. doi: 10.1101/gr.277037.122. Epub 2023 Jan 17.
9
Structural variants shape the genomic landscape and clinical outcome of multiple myeloma.结构变异塑造多发性骨髓瘤的基因组景观和临床结局。
Blood Cancer J. 2022 May 30;12(5):85. doi: 10.1038/s41408-022-00673-x.
10
Bone Marrow Stroma-Induced Transcriptome and Regulome Signatures of Multiple Myeloma.骨髓基质诱导的多发性骨髓瘤转录组和调控组特征
Cancers (Basel). 2022 Feb 13;14(4):927. doi: 10.3390/cancers14040927.

本文引用的文献

1
Downregulation of PA28α induces proteasome remodeling and results in resistance to proteasome inhibitors in multiple myeloma.下调 PA28α 诱导蛋白酶体重塑,导致多发性骨髓瘤对蛋白酶体抑制剂产生耐药性。
Blood Cancer J. 2020 Dec 14;10(12):125. doi: 10.1038/s41408-020-00393-0.
2
Cancer statistics, 2020.癌症统计数据,2020 年。
CA Cancer J Clin. 2020 Jan;70(1):7-30. doi: 10.3322/caac.21590. Epub 2020 Jan 8.
3
Gain of Chromosome 1q is associated with early progression in multiple myeloma patients treated with lenalidomide, bortezomib, and dexamethasone.染色体 1q 的获得与接受来那度胺、硼替佐米和地塞米松治疗的多发性骨髓瘤患者的早期进展相关。
Blood Cancer J. 2019 Nov 25;9(12):94. doi: 10.1038/s41408-019-0254-0.
4
Transcriptional landscape and clinical utility of enhancer RNAs for eRNA-targeted therapy in cancer.增强子 RNA 在癌症中作为 eRNA 靶向治疗的转录景观和临床应用。
Nat Commun. 2019 Oct 8;10(1):4562. doi: 10.1038/s41467-019-12543-5.
5
Genomic landscape and chronological reconstruction of driver events in multiple myeloma.多发性骨髓瘤中驱动事件的基因组全景和时间重建。
Nat Commun. 2019 Aug 23;10(1):3835. doi: 10.1038/s41467-019-11680-1.
6
MYC dysregulation in the progression of multiple myeloma.MYC失调在多发性骨髓瘤进展中的作用
Leukemia. 2020 Jan;34(1):322-326. doi: 10.1038/s41375-019-0543-4. Epub 2019 Aug 22.
7
Cell of Origin and Genetic Alterations in the Pathogenesis of Multiple Myeloma.多发性骨髓瘤发病机制中的起源细胞和遗传改变。
Front Immunol. 2019 May 21;10:1121. doi: 10.3389/fimmu.2019.01121. eCollection 2019.
8
Multiple myeloma immunoglobulin lambda translocations portend poor prognosis.多发性骨髓瘤免疫球蛋白 λ 易位预示预后不良。
Nat Commun. 2019 Apr 23;10(1):1911. doi: 10.1038/s41467-019-09555-6.
9
Functional profiling of venetoclax sensitivity can predict clinical response in multiple myeloma.维奈托克敏感性的功能分析可预测多发性骨髓瘤的临床反应。
Leukemia. 2019 May;33(5):1291-1296. doi: 10.1038/s41375-018-0374-8. Epub 2019 Jan 24.
10
A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis.通过基因组分析鉴定的一组新诊断骨髓瘤的高危、双重打击群体。
Leukemia. 2019 Jan;33(1):159-170. doi: 10.1038/s41375-018-0196-8. Epub 2018 Jul 2.

染色质可及性鉴定多发性骨髓瘤中预测基因表达和疾病结局的调控元件。

Chromatin Accessibility Identifies Regulatory Elements Predictive of Gene Expression and Disease Outcome in Multiple Myeloma.

机构信息

Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, Georgia.

Winship Cancer Institute, Emory University, Atlanta, Georgia.

出版信息

Clin Cancer Res. 2021 Jun 1;27(11):3178-3189. doi: 10.1158/1078-0432.CCR-20-2931. Epub 2021 Mar 17.

DOI:10.1158/1078-0432.CCR-20-2931
PMID:33731366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8172525/
Abstract

PURPOSE

Multiple myeloma is a malignancy of plasma cells. Extensive genetic and transcriptional characterization of myeloma has identified subtypes with prognostic and therapeutic implications. In contrast, relatively little is known about the myeloma epigenome.

EXPERIMENTAL DESIGN

CD138CD38 myeloma cells were isolated from fresh bone marrow aspirate or the same aspirate after freezing for 1-6 months. Gene expression and chromatin accessibility were compared between fresh and frozen samples by RNA sequencing (RNA-seq) and assay for transpose accessible chromatin sequencing (ATAC-seq). Chromatin accessible regions were used to identify regulatory RNA expression in more than 700 samples from newly diagnosed patients in the Multiple Myeloma Research Foundation CoMMpass trial (NCT01454297).

RESULTS

Gene expression and chromatin accessibility of cryopreserved myeloma recapitulated that of freshly isolated samples. ATAC-seq performed on a series of biobanked specimens identified thousands of chromatin accessible regions with hundreds being highly coordinated with gene expression. More than 4,700 of these chromatin accessible regions were transcribed in newly diagnosed myelomas from the CoMMpass trial. Regulatory element activity alone recapitulated myeloma gene expression subtypes, and in particular myeloma subtypes with immunoglobulin heavy chain translocations were defined by transcription of distal regulatory elements. Moreover, enhancer activity predicted oncogene expression implicating gene regulatory mechanisms in aggressive myeloma.

CONCLUSIONS

These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.

摘要

目的

多发性骨髓瘤是一种浆细胞恶性肿瘤。对骨髓瘤进行广泛的遗传和转录特征分析,确定了具有预后和治疗意义的亚型。相比之下,关于骨髓瘤的表观基因组知之甚少。

实验设计

从新鲜骨髓抽吸物或冷冻 1-6 个月后的相同抽吸物中分离出 CD138CD38 骨髓瘤细胞。通过 RNA 测序(RNA-seq)和转座酶可及染色质测序(ATAC-seq)比较新鲜和冷冻样本之间的基因表达和染色质可及性。利用染色质可及区域,鉴定了新诊断患者的多发性骨髓瘤研究基金会 CoMMpass 试验(NCT01454297)中超过 700 个样本中的调节 RNA 表达。

结果

冷冻骨髓瘤的基因表达和染色质可及性再现了新鲜分离样本的情况。对一系列生物样本库标本进行的 ATAC-seq 鉴定了数千个染色质可及区域,其中数百个与基因表达高度协调。在 CoMMpass 试验中,这些染色质可及区域中有超过 4700 个在新诊断的骨髓瘤中被转录。单独的调控元件活性再现了骨髓瘤基因表达亚型,特别是具有免疫球蛋白重链易位的骨髓瘤亚型由远端调控元件的转录定义。此外,增强子活性预测了致癌基因的表达,暗示了基因调控机制在侵袭性骨髓瘤中的作用。

结论

这些数据证明了使用生物样本库标本进行骨髓瘤表观基因组回顾性研究的可行性,并说明了与基因表达和疾病进展相关的骨髓瘤亚型独特的增强子景观。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/440b47ddce24/nihms-1686858-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/0f7d3a5072c8/nihms-1686858-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/c8177d720805/nihms-1686858-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/81c5c5988f6d/nihms-1686858-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/8b6c9e0d3954/nihms-1686858-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/735c703c78d0/nihms-1686858-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/440b47ddce24/nihms-1686858-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/0f7d3a5072c8/nihms-1686858-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/c8177d720805/nihms-1686858-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/81c5c5988f6d/nihms-1686858-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/8b6c9e0d3954/nihms-1686858-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/735c703c78d0/nihms-1686858-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c68/8172525/440b47ddce24/nihms-1686858-f0006.jpg