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健康骨髓细胞信号对生长因子反应的年龄相关变化为低危骨髓增生异常综合征提供了见解。

Age-related changes of healthy bone marrow cell signaling in response to growth factors provide insight into low risk MDS.

作者信息

Kornblau Steven M, Cohen Aileen C, Soper David, Huang Ying-Wen, Cesano Alessandra

机构信息

The University of Texas M. D. Anderson Cancer Center, Department of Stem Cell Transplantation and Cellular Therapy, Houston, TX.

出版信息

Cytometry B Clin Cytom. 2013 Aug 20. doi: 10.1002/cytob.21125.

Abstract

Background Single Cell Network Profiling (SCNP) is a multiparametric flow cytometry-based assay that quantifiably and simultaneously measures changes in intracellular signaling proteins in response to in vitro extracellular modulators at the single cell level. Myelodysplastic syndrome (MDS) is a heterogeneous clonal disorder of hematopoietic stem cells that occurs in elderly subjects and is characterized by dysplasia and ineffective hematopoiesis. The functional responsiveness of MDS bone marrow (BM) hematopoietic cells, including functionally distinct myeloid and erythroid precursor subsets, to hematopoietic growth factors (HGF) and the relationship of modulated signaling to disease characteristics is poorly understood. Methods SCNP was used first to examine the effects of age on erythropoietin (EPO) and granulocyte colony stimulating factor (GCSF)-induced signaling in myeloid, nucleated red blood cells (nRBC), and CD34 expressing cell subsets in healthy BM (n=15). SCNP was then used to map functional signaling profiles in low risk (LR) MDS (n=7) for comparison to signaling in samples from healthy donors and to probe signaling associations within clinically defined subgroups. Results In healthy BM samples, signaling responses to HGF were quite homogeneous (i.e. tightly regulated) with age-dependent effects observed in response to EPO but not to GCSF. Despite the relatively small number of samples assayed in the study, LR MDS could be classified into distinct subgroups based on both cell subset frequency and signaling profiles. Conclusion As a correlate of underlying genetic abnormalities, signal transduction analyses may provide a functional and potentially clinically relevant classification of MDS. Further evaluation in a larger cohort is warranted. © 2013 Clinical Cytometry Society.

摘要

背景 单细胞网络分析(SCNP)是一种基于多参数流式细胞术的检测方法,可在单细胞水平上定量并同时测量细胞内信号蛋白对体外细胞外调节剂的变化。骨髓增生异常综合征(MDS)是一种造血干细胞的异质性克隆性疾病,发生于老年患者,其特征为发育异常和无效造血。MDS骨髓(BM)造血细胞,包括功能不同的髓系和红系前体细胞亚群,对造血生长因子(HGF)的功能反应性以及调节信号与疾病特征的关系尚不清楚。方法 首先使用SCNP检测年龄对健康骨髓(n = 15)中髓系、有核红细胞(nRBC)和表达CD34的细胞亚群中促红细胞生成素(EPO)和粒细胞集落刺激因子(GCSF)诱导信号的影响。然后使用SCNP绘制低危(LR)MDS(n = 7)中的功能信号图谱,以与健康供体样本中的信号进行比较,并探究临床定义亚组内的信号关联。结果 在健康骨髓样本中,对HGF的信号反应相当均匀(即严格调控),对EPO观察到年龄依赖性效应,但对GCSF未观察到。尽管本研究中检测的样本数量相对较少,但LR MDS可根据细胞亚群频率和信号图谱分为不同亚组。结论 作为潜在遗传异常的一个关联指标,信号转导分析可能为MDS提供一种功能上且可能具有临床相关性的分类。有必要在更大队列中进行进一步评估。© 2013临床细胞计量学会

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