商务合作
动脉网APP
可切换为仅中文
AbstractMultiple myeloma (MM) is a heterogeneous and incurable tumor characterized by the malignant proliferation of plasma cells. It is necessary to clarify the heterogeneity of MM and identify new theranostic targets. We constructed a single-cell transcriptome profile of 48,293 bone marrow cells from MM patients and health donors (HDs) annotated with 7 continuous B lymphocyte lineages.
摘要多发性骨髓瘤(MM)是一种异质性且不可治愈的肿瘤,其特征是浆细胞的恶性增殖。有必要澄清MM的异质性并确定新的治疗诊断目标。。
Through CellChat, we discovered that the communication among B lymphocyte lineages between MM and HDs was disrupted, and unique signaling molecules were observed. Through pseudotime analysis, it was found that the differences between MM and HDs were mainly reflected in plasma cells. These differences are primarily related to various biological processes involving mitochondria.
通过CellChat,我们发现MM和HDs之间B淋巴细胞谱系之间的通讯被破坏,并观察到独特的信号分子。通过伪时间分析,发现MM和HDs之间的差异主要反映在浆细胞中。这些差异主要与涉及线粒体的各种生物过程有关。
Then, we identified the key subpopulation associated with the malignant proliferation of plasma cells. This group of cells exhibited strong proliferation ability, high CNV scores, high expression of frequently mutated genes, and strong glucose metabolic activity. Furthermore, we demonstrated the therapeutic potential of WNK1 as a target.
然后,我们确定了与浆细胞恶性增殖相关的关键亚群。这组细胞表现出强大的增殖能力,高CNV评分,频繁突变基因的高表达以及强大的葡萄糖代谢活性。此外,我们证明了WNK1作为靶标的治疗潜力。
Our study provides new insights into the development of B cells and the heterogeneity of plasma cells in MM and suggests that WNK1 is a potential therapeutic target for MM..
我们的研究为MM中B细胞的发育和浆细胞的异质性提供了新的见解,并表明WNK1是MM的潜在治疗靶点。。
IntroductionMultiple myeloma (MM) is a prevalent clinical malignant tumor that originates from the malignant proliferation of plasma cells derived from B lymphocytes and has the second-highest incidence rate among hematological tumors in European and American countries [1]. In the United States, there are approximately 35,000 cases of new diagnosis MM (NDMM) each year, with over 12,000 patients dying from MM [2].
。在美国,每年约有35000例新诊断MM(NDMM),超过12000例患者死于MM(2)。
With the emergence of treatment methods such as proteasome inhibitors, immunotherapy, CAR-T cells, autologous hematopoietic stem cell transplantation, and bispecific antibodies, the management of MM has significantly improved [3]. In addition, more than 50% of patients have a 5-year overall survival period [4].
随着蛋白酶体抑制剂、免疫疗法、CAR-T细胞、自体造血干细胞移植和双特异性抗体等治疗方法的出现,MM的治疗得到了显著改善。此外,超过50%的患者有5年的总生存期(4)。
However, MM is still a disease that is difficult to cure at this stage. Therefore, clarifying the pathogenesis of MM and identifying new theranostic targets remain the top priorities in current MM research [5].Single-cell RNA sequencing (scRNA-seq) technology is a revolutionary technique that allows scientists to better understand the differences between tumors and the microenvironment [6].
。因此,阐明MM的发病机制并确定新的治疗诊断靶点仍然是当前MM研究的首要任务〔5〕。单细胞RNA测序(scRNA-seq)技术是一种革命性的技术,它使科学家能够更好地了解肿瘤与微环境之间的差异。
Currently, it has been applied in various blood cancers, including leukemia [7, 8], multiple myeloma [9, 10], myelodysplastic syndrome [11], and other highly heterogeneous diseases [12, 13]. Numerous studies have used scRNA-seq to investigate MM. Ling et al. conducted scRNA-seq on bone marrow samples from 9 MM at various Revised International Staging System (R-ISS) stages.
目前,它已被应用于各种血液癌症,包括白血病[7,8],多发性骨髓瘤[9,10],骨髓增生异常综合征[11]和其他高度异质性疾病[12,13]。许多研究已经使用scRNA-seq来研究MM。Ling等人在各种修订的国际分期系统(R-ISS)阶段对9 MM的骨髓样本进行了scRNA-seq。
They discovered novel molecules (PDIA6, LETM1), networks (UQCRB-PDIA6, STAT1-LETM1), and crosstalk pairs (CCL3/CCL5/CCL3L1-CCR1) [14]. Moreover, Ryu et al. reported abnormal activity in the proliferation, antigen presentation, proteasome, and oxidative phosphorylation of extramedullary myeloma cells.
他们发现了新分子(PDIA6,LETM1),网络(UQCRB-PDIA6,STAT1-LETM1)和串扰对(CCL3/CCL5/CCL3L1-CCR1)[14]。此外,Ryu等人报道了髓外骨髓瘤细胞的增殖,抗原呈递,蛋白酶体和氧化磷酸化的异常活性。
Data availability
数据可用性
Data generated during this study have been deposited in the National Genomic Data Center [54] with the accession numbers HRA004197. All datasets that support the findings of the current study are available from the corresponding author upon reasonable request.
本研究期间产生的数据已保存在国家基因组数据中心(54),登录号为HRA004197。所有支持当前研究结果的数据集均可根据合理要求从通讯作者处获得。
Code availability
代码可用性
Codes could be accessed, along with the supporting data, upon reasonable request from Y.P.
根据Y.P.的合理要求,可以访问代码以及支持数据。
ReferencesGiaquinto AN, Miller KD, Tossas KY, Winn RA, Jemal A, Siegel RL. Cancer statistics for African American/Black People 2022. CA Cancer J Clin. 2022;72:202–29.Article
参考文献GiaQuinto AN,Miller KD,Tossas KY,Winn RA,Jemal A,Siegel RL。2022年非裔美国人/黑人癌症统计。CA癌症J临床。2022年;72:202–29.文章
PubMed
PubMed
Google Scholar
谷歌学者
Cowan AJ, Green DJ, Kwok M, Lee S, Coffey DG, Holmberg LA, et al. Diagnosis and management of multiple myeloma: a review. J Am Med Assoc. 2022;327:464–77.Article
Cowan AJ,Green DJ,Kwok M,Lee S,Coffey DG,Holmberg LA等。多发性骨髓瘤的诊断和治疗:综述。;327:464–77.文章
CAS
中科院
Google Scholar
谷歌学者
van de Donk N, Pawlyn C, Yong KL. Multiple myeloma. Lancet. 2021;397:410–27.Article
van de Donk N,Pawlyn C,Yong KL。多发性骨髓瘤。柳叶刀。2021年;397:410–27.文章
PubMed
PubMed
Google Scholar
谷歌学者
Callander NS, Baljevic M, Adekola K, Anderson LD, Campagnaro E, Castillo JJ, et al. NCCN Guidelines® Insights: Multiple Myeloma, Version 3.2022. J Natl Compr Canc Netw. 2022;20:8–19.Article
。J国家压缩机网络。2022年;20: 8-19.文章
PubMed
PubMed
Google Scholar
谷歌学者
Silberstein J, Tuchman S, Grant SJ. What is multiple myeloma? J Am Med Assoc. 2022;327:497.Article
Silberstein J,Tuchman S,Grant SJ。什么是多发性骨髓瘤?;327:497.文章
Google Scholar
谷歌学者
Tang F, Barbacioru C, Wang Y, Nordman E, Lee C, Xu N, et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods. 2009;6:377–82.Article
。Nat方法。2009年;6: 377-82.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
van Galen P, Hovestadt V, Wadsworth Ii MH, Hughes TK, Griffin GK, Battaglia S, et al. Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity. Cell. 2019;176:1265–81.e24.Article
van Galen P,Hovestadt V,Wadsworth Ii MH,Hughes TK,Griffin GK,Battaglia S等。单细胞RNA-seq揭示了与疾病进展和免疫力相关的AML等级。细胞。2019年;176:1265–81.e24.文章
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Li K, Du Y, Cai Y, Liu W, Lv Y, Huang B, et al. Single-cell analysis reveals the chemotherapy-induced cellular reprogramming and novel therapeutic targets in relapsed/refractory acute myeloid leukemia. Leukemia. 2023;37:308–25.Article
Li K,Du Y,Cai Y,Liu W,Lv Y,Huang B,et al。单细胞分析揭示了化疗诱导的细胞重编程和复发/难治性急性髓细胞白血病的新治疗靶点。白血病。2023年;37:308–25.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
He H, Li Z, Lu J, Qiang W, Jiang S, Xu Y, et al. Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma. Clin Transl Med. 2022;12:e757.Article
何浩,李Z,陆J,强W,江S,徐Y,等。单细胞RNA-seq揭示复发性多发性骨髓瘤的克隆多样性和预后基因。临床翻译医学2022;12: e757.条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Li W, Zhang B, Cao W, Zhang W, Li T, Liu L, et al. Identification of potential resistance mechanisms and therapeutic targets for the relapse of BCMA CAR-T therapy in relapsed/refractory multiple myeloma through single-cell sequencing. Exp Hematol Oncol. 2023;12:44.Article
Li W,Zhang B,Cao W,Zhang W,Li T,Liu L,et al。通过单细胞测序鉴定复发/难治性多发性骨髓瘤BCMA CAR-T治疗复发的潜在耐药机制和治疗靶点。Exp Hematol Oncol。2023年;12: 44、条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Ainciburu M, Ezponda T, Berastegui N, Alfonso-Pierola A, Vilas-Zornoza A, San Martin-Uriz P, et al. Uncovering perturbations in human hematopoiesis associated with healthy aging and myeloid malignancies at single-cell resolution. Elife. 2023;12:e79363.Article
Ainciburu M,Ezponda T,Berastegui N,Alfonso Pierola A,Vilas Zornoza A,San Martin Uris P等。在单细胞分辨率下揭示与健康衰老和骨髓恶性肿瘤相关的人类造血扰动。埃利夫。2023年;12: e79363。文章
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Wang L, Wu Z, Xia Y, Lu X, Li J, Fan L, et al. Single-cell profiling-guided combination therapy of c-Fos and histone deacetylase inhibitors in diffuse large B-cell lymphoma. Clin Transl Med. 2022;12:e798.Article
Wang L,Wu Z,Xia Y,Lu X,Li J,Fan L,等。单细胞谱分析指导c-Fos和组蛋白脱乙酰酶抑制剂联合治疗弥漫性大B细胞淋巴瘤。临床翻译医学2022;12: e798.条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Du Y, Cai Y, Lv Y, Zhang L, Yang H, Liu Q, et al. Single-cell RNA sequencing unveils the communications between malignant T and myeloid cells contributing to tumor growth and immunosuppression in cutaneous T-cell lymphoma. Cancer Lett. 2022;551:215972.Article
Du Y,Cai Y,Lv Y,Zhang L,Yang H,Liu Q,et al。单细胞RNA测序揭示了恶性T细胞和骨髓细胞之间的通讯,有助于皮肤T细胞淋巴瘤的肿瘤生长和免疫抑制。癌症Lett。2022年;551:215972.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Zhong L, Yang X, Zhou Y, Xiao J, Li H, Tao J, et al. Exploring the R-ISS stage-specific regular networks in the progression of multiple myeloma at single-cell resolution. Sci China Life Sci. 2022;65:1811–23.Article
钟丽,杨旭,周毅,肖杰,李红,陶杰,等。探索单细胞分辨率下多发性骨髓瘤进展中的R-ISS阶段特异性规则网络。Sci中国生命科学。2022年;65:1811-23.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Ryu D, Kim SJ, Hong Y, Jo A, Kim N, Kim HJ, et al. Alterations in the transcriptional programs of myeloma cells and the microenvironment during extramedullary progression affect proliferation and immune evasion. Clin Cancer Res. 2020;26:935–44.Article
。Clin Cancer Res.2020;26:935–44.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Gai D, Chen JR, Stewart JP, Nookaew I, Habelhah H, Ashby C, et al. CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation. J Clin Invest. 2022;132:e159527.Article
Gai D,Chen JR,Stewart JP,Nookaew I,Habelhah H,Ashby C等。CST6通过阻断破骨细胞分化来抑制多发性骨髓瘤中的溶骨性骨病。J临床投资。2022年;132:e159527.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Liu R, Gao Q, Foltz SM, Fowles JS, Yao L, Wang JT, et al. Co-evolution of tumor and immune cells during progression of multiple myeloma. Nat Commun. 2021;12:2559.Article
刘R,高Q,Foltz SM,Fowles JS,Yao L,Wang JT,等。多发性骨髓瘤进展过程中肿瘤和免疫细胞的共同进化。纳特公社。2021年;12: 2559条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Zheng GX, Terry JM, Belgrader P, Ryvkin P, Bent ZW, Wilson R, et al. Massively parallel digital transcriptional profiling of single cells. Nat Commun. 2017;8:14049.Article
Zheng GX,Terry JM,Belgrader P,Ryvkin P,Bent ZW,Wilson R等。单细胞的大规模并行数字转录谱分析。纳特公社。2017年;8: 第14049条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Hao Y, Hao S, Andersen-Nissen E, Mauck WM 3rd, Zheng S, Butler A, et al. Integrated analysis of multimodal single-cell data. Cell. 2021;184:3573–87.e29.Article
郝Y,郝S,安徒生-尼森E,莫克WM 3rd,郑S,巴特勒A等。多模式单细胞数据的综合分析。细胞。2021年;184:3573–87.e29.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, et al. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat Immunol. 2019;20:163–72.Article
Aran D,Looney AP,Liu L,Wu E,Fong V,Hsu A等。基于参考的肺单细胞测序分析揭示了过渡性促纤维化巨噬细胞。Nat免疫。2019年;20: 163-72.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Fu R, Gillen AE, Sheridan RM, Tian C, Daya M, Hao Y, et al. clustifyr: an R package for automated single-cell RNA sequencing cluster classification. F1000Res. 2020;9:223.Article
Fu R,Gillen AE,Sheridan RM,Tian C,Daya M,Hao Y等。clustifyr:用于自动单细胞RNA测序簇分类的R包。F1000Res。2020年;9: 223条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Jin S, Guerrero-Juarez CF, Zhang L, Chang I, Ramos R, Kuan CH, et al. Inference and analysis of cell-cell communication using CellChat. Nat Commun. 2021;12:1088.Article
Jin S,Guerrero-Juarez CF,Zhang L,Chang I,Ramos R,Kuan CH等。使用CellChat推断和分析细胞间通信。纳特公社。2021年;12: 第1088条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Qiu X, Mao Q, Tang Y, Wang L, Chawla R, Pliner HA, et al. Reversed graph embedding resolves complex single-cell trajectories. Nat Methods. 2017;14:979–82.Article
邱X,毛Q,唐Y,王L,Chawla R,Pliner HA等。反向图嵌入解决了复杂的单细胞轨迹。Nat方法。2017年;14: 979-82.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Kang M, Armenteros JJA, Gulati GS, Gleyzer R, Avagyan S, Brown EL, et al. Mapping single-cell developmental potential in health and disease with interpretable deep learning. bioRxiv https://doi.org/10.1101/2024.03.19.585637 (2024).Aibar S, Gonzalez-Blas CB, Moerman T, Huynh-Thu VA, Imrichova H, Hulselmans G, et al.
Kang M,Armenteros JJA,Gulati GS,Gleyzer R,Avagyan S,Brown EL等。通过可解释的深度学习绘制健康和疾病中的单细胞发育潜力。生物十四https://doi.org/10.1101/2024.03.19.585637(2024年)。Aibar S,Gonzalez-Blas CB,Moerman T,Huynh Thu VA,Imrichova H,Hulselmans G等。
SCENIC: single-cell regulatory network inference and clustering. Nat Methods. 2017;14:1083–6.Article .
风景:单细胞调节网络推断和聚类。Nat方法。2017年;14: 1083-6条。
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Van de Sande B, Flerin C, Davie K, De Waegeneer M, Hulselmans G, Aibar S, et al. A scalable SCENIC workflow for single-cell gene regulatory network analysis. Nat Protoc. 2020;15:2247–76.Article
Van de Sande B,Flerin C,Davie K,de Waegeneer M,Hulselmans G,Aibar S等。用于单细胞基因调控网络分析的可扩展景观工作流程。Nat协议。2020年;15: 2247–76.文章
PubMed
PubMed
Google Scholar
谷歌学者
Puram SV, Tirosh I, Parikh AS, Patel AP, Yizhak K, Gillespie S, et al. Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer. Cell. 2017;171:1611–24.e24.Article
Puram SV,Tirosh I,Parikh AS,Patel AP,Yizhak K,Gillespie S等。头颈癌原发性和转移性肿瘤生态系统的单细胞转录组学分析。细胞。2017年;171:1611–24.e24.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Ziegler CGK, Allon SJ, Nyquist SK, Mbano IM, Miao VN, Tzouanas CN, et al. SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues. Cell. 2020;181:1016–35.e19.Article
Ziegler CGK,Allon SJ,Nyquist SK,Mbano IM,Miao VN,Tzouanas CN等。SARS-CoV-2受体ACE2是人气道上皮细胞中干扰素刺激的基因,在组织中的特定细胞亚群中检测到。细胞。2020年;181:1016–35.e19.文章
PubMed
PubMed
Google Scholar
谷歌学者
Cang Z, Zhao Y, Almet AA, Stabell A, Ramos R, Plikus MV, et al. Screening cell-cell communication in spatial transcriptomics via collective optimal transport. Nat Methods. 2023;20:218–28.Article
仓Z,赵Y,Almet AA,Stabell A,Ramos R,Plikus MV等。通过集体最佳转运筛选空间转录组学中的细胞间通讯。Nat方法。2023年;20: 218-28.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Stein R, Qu Z, Cardillo TM, Chen S, Rosario A, Horak ID, et al. Antiproliferative activity of a humanized anti-CD74 monoclonal antibody, hLL1, on B-cell malignancies. Blood. 2004;104:3705–11.Article
Stein R,Qu Z,Cardillo TM,Chen S,Rosario A,Horak ID等。人源化抗CD74单克隆抗体hLL1对B细胞恶性肿瘤的抗增殖活性。血。2004年;104:3705–11.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Klasen C, Ziehm T, Huber M, Asare Y, Kapurniotu A, Shachar I, et al. LPS-mediated cell surface expression of CD74 promotes the proliferation of B cells in response to MIF. Cell Signal. 2018;46:32–42.Article
。细胞信号。2018年;46:32–42.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Chaiwanon J, Wang W, Zhu JY, Oh E, Wang ZY. Information integration and communication in plant growth regulation. Cell. 2016;164:1257–68.Article
柴万农J,王W,朱JY,Oh E,Wang ZY。。细胞。2016年;164:1257–68.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Wallington-Beddoe CT, Mynott RL. Prognostic and predictive biomarker developments in multiple myeloma. J Hematol Oncol. 2021;14:151.Article
Wallington-Beddoe CT,Mynott RL。多发性骨髓瘤的预后和预测生物标志物发展。J Hematol Oncol。2021年;14: 151、条款
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Atrash S, Flahavan EM, Xu T, Ma E, Karve S, Hong WJ, et al. Treatment patterns and outcomes according to cytogenetic risk stratification in patients with multiple myeloma: a real-world analysis. Blood Cancer J. 2022;12:46.Article
Atrash S,Flahavan EM,Xu T,Ma E,Karve S,Hong WJ等。根据多发性骨髓瘤患者细胞遗传学风险分层的治疗模式和结果:现实分析。血癌J.2022;12: 46、条款
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Shen YJ, Mishima Y, Shi J, Sklavenitis-Pistofidis R, Redd RA, Moschetta M, et al. Progression signature underlies clonal evolution and dissemination of multiple myeloma. Blood. 2021;137:2360–72.Article
Shen YJ,Mishima Y,Shi J,Sklavenitis Pistofidis R,Redd RA,Moschetta M等。进展特征是多发性骨髓瘤克隆进化和传播的基础。血。2021年;137:2360–72.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Jia Y, Zhou J, Tan TK, Chung TH, Chen Y, Chooi JY, et al. Super enhancer-mediated upregulation of HJURP promotes growth and survival of t(4;14)-positive multiple myeloma. Cancer Res. 2022;82:406–18.Article
Jia Y,Zhou J,Tan TK,Chung TH,Chen Y,Chooi JY等。超增强子介导的HJURP上调促进t(4;14)阳性多发性骨髓瘤的生长和存活。癌症研究2022;
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Zhan F, Colla S, Wu X, Chen B, Stewart JP, Kuehl WM, et al. CKS1B, overexpressed in aggressive disease, regulates multiple myeloma growth and survival through SKP2- and p27Kip1-dependent and -independent mechanisms. Blood. 2007;109:4995–5001.Article
在侵袭性疾病中过表达的CKS1B通过SKP2和p27Kip1依赖性和非依赖性机制调节多发性骨髓瘤的生长和存活。血。2007年;109:4995–5001.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Ferguson ID, Lin YHT, Lam C, Shao H, Tharp KM, Hale M, et al. Allosteric HSP70 inhibitors perturb mitochondrial proteostasis and overcome proteasome inhibitor resistance in multiple myeloma. Cell Chem Biol. 2022;29:1288–302.Article
Ferguson ID,Lin YHT,Lam C,Shao H,Tharp KM,Hale M等。变构HSP70抑制剂扰乱线粒体蛋白稳态并克服多发性骨髓瘤中蛋白酶体抑制剂的耐药性。细胞化学生物学。2022年;29:1288–302.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Song S, Fan G, Li Q, Su Q, Zhang X, Xue X, et al. IDH2 contributes to tumorigenesis and poor prognosis by regulating m6A RNA methylation in multiple myeloma. Oncogene. 2021;40:5393–402.Article
Song S,Fan G,Li Q,Su Q,Zhang X,Xue X等。IDH2通过调节多发性骨髓瘤中的m6A RNA甲基化来促进肿瘤发生和预后不良。致癌基因。2021年;40:5393–402.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Yao Y, Ng JF, Park WD, Samur M, Morelli E, Encinas Mayoral J, et al. CDK7 controls E2F- and MYC-driven proliferative and metabolic vulnerabilities in multiple myeloma. Blood. 2023;141:2841–52.CAS
Yao Y,Ng JF,Park WD,Samur M,Morelli E,Encinas Mayoral J等。CDK7控制多发性骨髓瘤中E2F和MYC驱动的增殖和代谢脆弱性。血。2023年;141:2841-52.CAS
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Herrero AB, Quwaider D, Corchete LA, Mateos MV, Garcia-Sanz R, Gutierrez NC. FAM46C controls antibody production by the polyadenylation of immunoglobulin mRNAs and inhibits cell migration in multiple myeloma. J Cell Mol Med. 2020;24:4171–82.Article
Herrero AB,Quwaider D,Corchete LA,Mateos MV,Garcia-Sanz R,Gutierrez NC。FAM46C通过免疫球蛋白mRNA的多腺苷酸化控制抗体产生,并抑制多发性骨髓瘤中的细胞迁移。J Cell Mol Med。2020;24:4171–82.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Jang JS, Li Y, Mitra AK, Bi L, Abyzov A, van Wijnen AJ, et al. Molecular signatures of multiple myeloma progression through single cell RNA-Seq. Blood Cancer J. 2019;9:2.Article
Jang JS,Li Y,Mitra AK,Bi L,Abyzov A,van Wijnen AJ等。通过单细胞RNA-Seq进行多发性骨髓瘤进展的分子标记。血癌J.2019;9:
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Roman-Trufero M, Auner HW, Edwards CM. Multiple myeloma metabolism—a treasure trove of therapeutic targets? Front Immunol. 2022;13:897862.Article
Roman Trufero M,Auner HW,Edwards CM。多发性骨髓瘤代谢-治疗靶点的宝库?前免疫。2022年;13: 第897862条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Tomilin VN, Pyrshev K, Khayyat NH, Zaika O, Pochynyuk O. With-no-lysine kinase 1 (WNK1) augments TRPV4 function in the aldosterone-sensitive distal nephron. Cells. 2021;10:1482.Article
没有赖氨酸激酶1(WNK1)的Tomilin VN,Pyrshev K,Khayyat NH,Zaika O,Pochynyuk O.增强了醛固酮敏感远端肾单位的TRPV4功能。细胞。2021年;10: 第1482条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Franqui-Machin R, Hao M, Bai H, Gu Z, Zhan X, Habelhah H, et al. Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma. J Clin Invest. 2018;128:2877–93.Article
Franqui Machin R,Hao M,Bai H,Gu Z,Zhan X,Habelhah H等。去稳定化NEK2克服了多发性骨髓瘤对蛋白酶体抑制的抵抗力。J临床投资。2018年;128:2877–93.文章
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Sepulveda F, Mayorga-Lobos C, Guzman K, Duran-Jara E, Lobos-Gonzalez L. EV-miRNA-mediated intercellular communication in the breast tumor microenvironment. Int J Mol Sci. 2023;24:13085.Article
Sepulveda F,Mayorga Lobos C,Guzman K,Duran Jara E,Lobos Gonzalez L.EV miRNA介导的乳腺肿瘤微环境中的细胞间通讯。国际分子科学杂志。2023年;24:13085.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Pilcher W, Thomas BE, Bhasin SS, Jayasinghe RG, Yao L, Gonzalez-Kozlova E, et al. Cross center single-cell RNA sequencing study of the immune microenvironment in rapid progressing multiple myeloma. Npj Genom Med. 2023;8:3.Article
Pilcher W,Thomas BE,Bhasin SS,Jayasinghe RG,Yao L,Gonzalez-Kozlova E等。快速进展性多发性骨髓瘤免疫微环境的跨中心单细胞RNA测序研究。Npj Genom Med。2023;8: 3、条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Sharma A, Nair R, Achreja A, Mittal A, Gupta P, Balakrishnan K, et al. Therapeutic implications of mitochondrial stress-induced proteasome inhibitor resistance in multiple myeloma. Sci Adv. 2022;8:eabq5575.Article
Sharma A,Nair R,Achreja A,Mittal A,Gupta P,Balakrishnan K等。线粒体应激诱导的蛋白酶体抑制剂耐药性在多发性骨髓瘤中的治疗意义。Sci Adv.2022;8: eabq5575.条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Bajpai R, Sharma A, Achreja A, Edgar CL, Wei C, Siddiqa AA, et al. Electron transport chain activity is a predictor and target for venetoclax sensitivity in multiple myeloma. Nat Commun. 2020;11:1228.Article
Bajpai R,Sharma A,Achreja A,Edgar CL,Wei C,Siddiqa AA等。电子传递链活性是多发性骨髓瘤中venetoclax敏感性的预测因子和靶标。纳特公社。2020年;11: 第1228条
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Jaykumar AB, Jung JU, Parida PK, Dang TT, Wichaidit C, Kannangara AR, et al. WNK1 enhances migration and invasion in breast cancer models. Mol Cancer Ther. 2021;20:1800–8.Article
Jaykumar AB,Jung JU,Parida PK,Dang TT,Wichaidit C,Kannangara AR等。WNK1增强乳腺癌模型中的迁移和侵袭。摩尔癌症治疗。2021年;20: 1800–8.文章
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Sanchez-Fdez A, Matilla-Almazan S, Montero JC, Del Carmen S, Abad M, Garcia-Alonso S, et al. The WNK1-ERK5 route plays a pathophysiological role in ovarian cancer and limits therapeutic efficacy of trametinib. Clin Transl Med. 2023;13:e1217.Article
Sanchez-Fdez A,Matilla-Almazan S,Montero JC,Del Carmen S,Abad M,Garcia-Alonso S等。WNK1-ERK5途径在卵巢癌中起病理生理作用,并限制了曲美替尼的治疗效果。临床翻译医学2023;13: e1217条款
CAS
中科院
PubMed
PubMed
PubMed Central
公共医学中心
Google Scholar
谷歌学者
Gao JL, Peng K, Shen MW, Hou YH, Qian XB, Meng XW, et al. Suppression of WNK1-SPAK/OSR1 attenuates bone cancer pain by regulating NKCC1 and KCC2. J Pain. 2019;20:1416–28.Article
Gao JL,Peng K,Shen MW,Hou YH,Qian XB,Meng XW等。抑制WNK1-SPAK/OSR1通过调节NKCC1和KCC2减轻骨癌疼痛。J疼痛。2019年;20: 1416-28.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
Jung YY, Mohan CD, Rangappa S, Um JY, Chinnathambi A, Alharbi SA, et al. Brucein D imparts a growth inhibitory effect in multiple myeloma cells by abrogating the Akt-driven signaling pathway. IUBMB Life. 2023;75:149–60.Article
Jung YY,Mohan CD,Rangappa S,Um JY,Chinnathambi A,Alharbi SA等。布鲁氏菌素D通过消除Akt驱动的信号通路在多发性骨髓瘤细胞中产生生长抑制作用。IUBMB寿命。2023年;75:149–60.文章
CAS
中科院
PubMed
PubMed
Google Scholar
谷歌学者
CNCB-NGDC. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021. Nucleic Acids Res. 2021;49:D18–D28.Article
CNCB-NGDC。2021年中国国家生物信息中心国家基因组数据中心的数据库资源。核酸研究2021;49:D18–D28.文章
Google Scholar
谷歌学者
Download referencesAcknowledgementsThis study was supported by grants from the National Natural Science Foundation of China (81920108004, 82270127, 82070175, 82370128 92253201, 32350026, and 22334005), the National Key Research and Development Program of China (2018YFA0107800, 2021YFA0909400), the Hunan Natural Science Foundation of China (2024JJ3037, 2022JJ30830, and 2022JJ30183), the Ambassador Program for Science and Technology Innovation in Hunan Province (2022RC3074), the Hunan Provincial Health Commission Research Program Project (20201179), the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation (GZC20233178), the Fundamental Research Funds for Central Universities of the Central South University (No.
。
2023ZZTS0541), and Shenzhen Health Development Research and Data Management Center (0868-2344ZD1274F, sz20230199).Author informationAuthor notesThese authors contributed equally: Yanpeng Wang, Yuanliang Peng, Chaoying Yang.Authors and AffiliationsDepartment of Hematology, the Second Xiangya Hospital, School of Life Sciences, Central South University, Changsha, 410011, ChinaYanpeng Wang, Yuanliang Peng, Hongling Peng & Jing LiuHunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha, 410011, ChinaYanpeng Wang, Yuanliang Peng, Chaoying Yang, Dehui Xiong, Zeyuan Wang, Xiaojuan Xiao & Jing LiuDepartment of Clinical Laboratory, the Affiliated Nanhua Hospital, University of South China, Hengyang, 421001, ChinaYanpeng WangShenzhen Health Development Research and Data Management Center, Shenzhen, 518028, ChinaXusheng WuAuthorsYanpeng WangView author publicationsYou can also search for this author in.
2023ZZTS0541)和深圳健康发展研究与数据管理中心(0868-2344ZD1274F,sz20230199)。。作者和附属机构中南大学生命科学学院湘雅第二医院血液科,长沙,410011,王艳鹏,彭元良,彭洪玲,刘靖湖南省中南大学基础与应用血液学重点实验室,长沙,410011,王艳鹏,彭元良,杨朝英,熊德辉,王泽元,肖娟,刘靖华南大学附属南华医院临床实验室,衡阳,421001,王艳鹏深圳健康发展研究与数据管理中心,深圳,518028,吴旭生作者王艳鹏观点作者出版物You也可以在中搜索此作者。
PubMed Google ScholarYuanliang PengView author publicationsYou can also search for this author in
PubMed Google ScholarYuanliang PengView作者出版物您也可以在
PubMed Google ScholarChaoying YangView author publicationsYou can also search for this author in
PubMed Google Scholarchoying YangView作者出版物您也可以在
PubMed Google ScholarDehui XiongView author publicationsYou can also search for this author in
PubMed Google ScholarDehui XiongView作者出版物您也可以在
PubMed Google ScholarZeyuan WangView author publicationsYou can also search for this author in
PubMed Google ScholarZeyuan WangView作者出版物您也可以在
PubMed Google ScholarHongling PengView author publicationsYou can also search for this author in
PubMed谷歌学者洪玲PengView作者出版物您也可以在
PubMed Google ScholarXusheng WuView author publicationsYou can also search for this author in
PubMed Google ScholarXusheng WuView作者出版物您也可以在
PubMed Google ScholarXiaojuan XiaoView author publicationsYou can also search for this author in
PubMed Google ScholarXiaojuan XiaoView作者出版物您也可以在
PubMed Google ScholarJing LiuView author publicationsYou can also search for this author in
PubMed Google ScholarJing LiuView作者出版物您也可以在
PubMed Google ScholarContributionsJ.L., X.X., H.P. and X.W. designed experiments, analyzed the data, Y.W., Y.P., C.Y., D.X., and Z.W. performed research and acquired the data. J.L., X.X., Y.W. and Y.P. wrote the paper. J.L. revised the paper.Corresponding authorsCorrespondence to.
PubMed谷歌学术贡献。五十、 ,X.X.,H.P.和X.W.设计了实验,分析了数据,Y.W.,Y.P.,C.Y.,D.X。和Z.W.进行了研究并获得了数据。J、 L.,X.X.,Y.W.和Y.P.写了这篇论文。J、 L.修改了论文。通讯作者通讯。
Hongling Peng, Xusheng Wu, Xiaojuan Xiao or Jing Liu.Ethics declarations
彭洪玲、吴旭生、肖晓娟或刘静。道德宣言
Ethics approval
道德认可
All the samples of human MM patients used in the study were approved as per the ethical standards of the Ethics Committee of the School of Life Sciences of Central South University (approval No. 2019-1-11) and processed in accordance with the approved procedure of the committee. Animal protocols were reviewed and approved by the Department of Experimental Animal Science of Central South University (approval No.
本研究中使用的所有人类MM患者样本均按照中南大学生命科学学院伦理委员会的道德标准(批准号2019-1-11)进行了批准,并按照批准的程序进行了处理。委员会。中南大学实验动物科学系(批准号:。
CSU-2022-0001-0120) and all methods were performed in accordance with the relevant guidelines and regulations..
。。
Competing interests
相互竞争的利益
The authors declare no competing interests.
作者声明没有利益冲突。
Additional informationPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Edited by Gemma KellySupplementary informationsupplemental materialSupplemental tablesRights and permissions
Additional informationPublisher的注释Springer Nature在已发布的地图和机构隶属关系中的管辖权主张方面保持中立。由Gemma Kelly编辑补充信息补充材料补充表权限
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
开放获取本文是根据知识共享署名4.0国际许可证授权的,该许可证允许以任何媒体或格式使用,共享,改编,分发和复制,只要您对原始作者和来源给予适当的信任,提供知识共享许可证的链接,并指出是否进行了更改。
The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
本文中的图像或其他第三方材料包含在文章的知识共享许可中,除非在材料的信用额度中另有说明。如果材料未包含在文章的知识共享许可中,并且您的预期用途不受法律法规的许可或超出许可用途,则您需要直接获得版权所有者的许可。
To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..
要查看此许可证的副本,请访问http://creativecommons.org/licenses/by/4.0/..
Reprints and permissionsAbout this articleCite this articleWang, Y., Peng, Y., Yang, C. et al. Single-cell sequencing analysis of multiple myeloma heterogeneity and identification of new theranostic targets.
转载和许可本文引用本文Wang,Y.,Peng,Y.,Yang,C。等人。多发性骨髓瘤异质性的单细胞测序分析和新的治疗诊断靶标的鉴定。
Cell Death Dis 15, 672 (2024). https://doi.org/10.1038/s41419-024-07027-4Download citationReceived: 15 April 2024Revised: 16 August 2024Accepted: 22 August 2024Published: 14 September 2024DOI: https://doi.org/10.1038/s41419-024-07027-4Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.
细胞死亡Dis 15672(2024)。https://doi.org/10.1038/s41419-024-07027-4Download引文收到日期:2024年4月15日修订日期:2024年8月16日接受日期:2024年8月22日发布日期:2024年9月14日OI:https://doi.org/10.1038/s41419-024-07027-4Share本文与您共享以下链接的任何人都可以阅读此内容:获取可共享链接对不起,本文目前没有可共享的链接。复制到剪贴板。
Provided by the Springer Nature SharedIt content-sharing initiative
由Springer Nature SharedIt内容共享计划提供