The platelet transcriptome after stem cell transplantation

IF 3.1
Lin LI, Sidney W. Whiteheart, Reinhold Munker
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The sepsis-induced upregulation of the ITGA2B gene on platelets predicts mortality.<span><sup>3</sup></span> To our knowledge the platelet transcriptome has never been studied systematically after hematopoietic stem cell transplantation (HSCT). Autologous transplantation permits to deliver high-dose chemotherapy. Allogeneic transplantation in addition generates an immune response most pronounced in myeloid leukaemias. Both types of transplantation have a potential for cure. An earlier study investigated platelet markers after allogeneic transplantation using flow cytometry and found platelet receptor and granule defects.<span><sup>4</sup></span> In a recent Japanese study early thrombocytopenia was a risk factor for a poor outcome after allogeneic HSCT.<span><sup>5</sup></span> We hypothesized that an altered transcriptome could correlate with complications and possibly predict the outcome after autologous and allogeneic HSCT.</p><p>Platelets were isolated and purified according to standard methods.<span><sup>6</sup></span> This includes negative bead selection for GPA and LCA. A total of 8 patients were studied before and after HSCT. Four patients underwent an autologous HSCT, 4 patients underwent an allogeneic HSCT. Details about these patients can be found in Table 1. RNA was sequenced using an Illumina NovaSeq 6000 and transcriptomes were analysed with R, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA). Following the isolation of platelets and RNA, sequencing generated raw gene datasets that were compared using an R algorithm. All isolations were performed in duplicate. In the first comparison, we examined gene expression, before versus after two types of HSCT, autologous (Figure 1A) and allogeneic (Figure 1C) by aggregating all data based on type of transplant. A threshold of log2 (FC) &gt; 1 and FDR &lt; 0.01 (blue dots) or FDR &lt; 0.05 (red dots) was applied. Further the top differentially expressed genes were identified and ranked according to the log2FC (Figure 1B,D). From this analysis, autologous HSCT causes fewer changes in gene expression than allogenic stem cell transplantation (SCT). In the autologous cohort, we identified 7 downregulated genes and 8 upregulated genes in the platelet transcriptomes. In the allogeneic transplanted patients, the platelet transcriptomes showed only 6 downregulated genes but there were 58 upregulated genes (Figure 1). In the autologous HSCT group, TCL1A, CFP and CD4 were upregulated genes, while OLFM4, LOC100420587 and TPTEP1 were significantly downregulated (Figure 1B). In the allogeneic HSCT group, TCN1, SLP1 and MPO were highly upregulated and MYL4, PDZK1IP1 and FAM110B were significantly downregulated (Figure 1D). Figure 1E illustrates the expression changes of eight selected genes TCL1A, CD4, OLFM4, MYL4, TCN1, LTF, CAMP and VCAN in platelets before and after autologous and allogeneic transplants. Notably, TCL1A, CD4, TCN1, LTF, CAMP and VCAN show significant upregulation post-transplant in autologous and allogeneic conditions. Conversely, OLFM4 and MYL4 display significant downregulation.</p><p>To further understand the variation of platelet genes expressed in autologous and allogeneic HSCT groups, we conducted functional annotation using GO, KEGG and GSEA. These analyses were performed on the datasets utilizing Shiny GO version 0.80, GSEA 4.3.2 version and an R package. The gene sets used in these analyses were derived from the upregulated genes in each group, comparing expression levels before and after transplantation. This approach allowed us to capture the dynamic changes in gene expression associated with the transplantation process. By focusing on genes upregulated after transplant, we aimed to reveal key pathways involved in immune response, cellular repair and hematopoietic recovery.</p><p>GO analysis was conducted to annotate the biological roles of upregulated genes, including biological process, cellular component and molecular function. In Figures 2 and 3, the respective genes are shown for the autologous and allogeneic groups. The KEGG database integrates genomic, chemical and systemic functional information. Our results indicated that upregulated genes in the autologous group were primarily enriched in pathways such as primary immunodeficiency, antigen processing and presentation, as well as hematopoietic cell lineage. Downregulated genes in the autologous group were mainly enriched in pathways such as inflammatory bowel disease, ECM-receptor interaction, and Legionellosis (Figure S1A). In the allogeneic group, downregulated genes were mainly enriched in pathways such as cardiac muscle contraction, vascular smooth muscle contraction and adrenergic signalling in cardiomyocytes (Figure S1B).</p><p>GSEA was next performed on the ranked gene lists to extract biological insights at the pathway level. GSEA results for IL6_JAK_STAT3_SIGNALING pathways of the ranked gene lists in autologous and allogeneic HSCT groups are shown in Figure 4. For the autologous cohort, the IL6–JAK–STAT3 signalling pathway showed negative enrichment (NES = –1.56, FDR = 0.00), indicating significant downregulation of the pathway. Core enriched genes included IFNGR1, IL10RB, and IL7. For the allogeneic cohort, the pathway also displayed negative enrichment (NES = –1.72, FDR = 0.05), similarly suggesting downregulation. Core enriched genes included CD38, IL12RB1, and ACVR1B. Together, these findings demonstrate a consistently reduced IL6–JAK–STAT3 signalling signature in both transplant groups.</p><p>In conclusion, multiple platelet-associated genes were altered during HSCT, with a broader transcriptional shift observed in the allogeneic cohort compared with the autologous cohort. Importantly, contrary to our initial expectation, the GSEA analysis indicates that the IL6–JAK–STAT3 signalling pathway is downregulated rather than activated in both groups. The JAK–STAT axis is known to regulate haematopoiesis and immune reconstitution<span><sup>7</sup></span>; therefore, suppression of this pathway in platelets may reflect altered cytokine responsiveness or compensatory downmodulation of deleterious immune reactions following HSCT.<span><sup>8</sup></span> Interestingly, several genes that changed significantly during HSCT, such as TCL1A, OLFM4, TCN1 and MYL4, are not classical platelet genes. This suggests that platelets may acquire transcriptional programs derived from hematopoietic or immune compartments during engraftment. For example, the increased expression of TCL1A,<span><sup>9</sup></span> a known promoter of HSC expansion, may point toward broader interactions between platelets and stem cell biology. Our study is limited by the relatively small cohort size, variable time points and disease heterogeneity; nonetheless, it provides new insight into how platelet-associated transcriptional signatures may reflect immune and engraftment dynamics during HSCT.</p><p>LL and RM performed research; all authors wrote and appproved the manuscript.</p><p>The authors declare no conflicts of interest.</p><p>This study was approved by the Institutional Review Board of the University of Kentucky (IRB # 61338). Informed consent was obtained from all study participants.</p><p>Research materials and supporting information can be made available by contacting the corresponding author.</p>","PeriodicalId":72605,"journal":{"name":"Clinical and translational discovery","volume":"6 2","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctd2.70121","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and translational discovery","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctd2.70121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Dear Editor,

Platelets play a role in haemostasis, vascular biology and immunity.1 Activated platelets may worsen or modulate immune reactions. Stem cell transplantation is an established treatment for leukaemia, lymphoma and some other conditions. It is unclear if the platelet transcriptome displays markers of immune activation in the recovery period after transplantation. The aim of our study was to identify changes in the platelet transcriptome (being a corollary of events happening in megakaryocytes in the bone marrow) after transplantation. The study of the platelet transcriptome was found to be useful for discoveries in human health and disease.2 In sepsis, altered transcriptome of human and mouse platelets was found. The sepsis-induced upregulation of the ITGA2B gene on platelets predicts mortality.3 To our knowledge the platelet transcriptome has never been studied systematically after hematopoietic stem cell transplantation (HSCT). Autologous transplantation permits to deliver high-dose chemotherapy. Allogeneic transplantation in addition generates an immune response most pronounced in myeloid leukaemias. Both types of transplantation have a potential for cure. An earlier study investigated platelet markers after allogeneic transplantation using flow cytometry and found platelet receptor and granule defects.4 In a recent Japanese study early thrombocytopenia was a risk factor for a poor outcome after allogeneic HSCT.5 We hypothesized that an altered transcriptome could correlate with complications and possibly predict the outcome after autologous and allogeneic HSCT.

Platelets were isolated and purified according to standard methods.6 This includes negative bead selection for GPA and LCA. A total of 8 patients were studied before and after HSCT. Four patients underwent an autologous HSCT, 4 patients underwent an allogeneic HSCT. Details about these patients can be found in Table 1. RNA was sequenced using an Illumina NovaSeq 6000 and transcriptomes were analysed with R, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA). Following the isolation of platelets and RNA, sequencing generated raw gene datasets that were compared using an R algorithm. All isolations were performed in duplicate. In the first comparison, we examined gene expression, before versus after two types of HSCT, autologous (Figure 1A) and allogeneic (Figure 1C) by aggregating all data based on type of transplant. A threshold of log2 (FC) > 1 and FDR < 0.01 (blue dots) or FDR < 0.05 (red dots) was applied. Further the top differentially expressed genes were identified and ranked according to the log2FC (Figure 1B,D). From this analysis, autologous HSCT causes fewer changes in gene expression than allogenic stem cell transplantation (SCT). In the autologous cohort, we identified 7 downregulated genes and 8 upregulated genes in the platelet transcriptomes. In the allogeneic transplanted patients, the platelet transcriptomes showed only 6 downregulated genes but there were 58 upregulated genes (Figure 1). In the autologous HSCT group, TCL1A, CFP and CD4 were upregulated genes, while OLFM4, LOC100420587 and TPTEP1 were significantly downregulated (Figure 1B). In the allogeneic HSCT group, TCN1, SLP1 and MPO were highly upregulated and MYL4, PDZK1IP1 and FAM110B were significantly downregulated (Figure 1D). Figure 1E illustrates the expression changes of eight selected genes TCL1A, CD4, OLFM4, MYL4, TCN1, LTF, CAMP and VCAN in platelets before and after autologous and allogeneic transplants. Notably, TCL1A, CD4, TCN1, LTF, CAMP and VCAN show significant upregulation post-transplant in autologous and allogeneic conditions. Conversely, OLFM4 and MYL4 display significant downregulation.

To further understand the variation of platelet genes expressed in autologous and allogeneic HSCT groups, we conducted functional annotation using GO, KEGG and GSEA. These analyses were performed on the datasets utilizing Shiny GO version 0.80, GSEA 4.3.2 version and an R package. The gene sets used in these analyses were derived from the upregulated genes in each group, comparing expression levels before and after transplantation. This approach allowed us to capture the dynamic changes in gene expression associated with the transplantation process. By focusing on genes upregulated after transplant, we aimed to reveal key pathways involved in immune response, cellular repair and hematopoietic recovery.

GO analysis was conducted to annotate the biological roles of upregulated genes, including biological process, cellular component and molecular function. In Figures 2 and 3, the respective genes are shown for the autologous and allogeneic groups. The KEGG database integrates genomic, chemical and systemic functional information. Our results indicated that upregulated genes in the autologous group were primarily enriched in pathways such as primary immunodeficiency, antigen processing and presentation, as well as hematopoietic cell lineage. Downregulated genes in the autologous group were mainly enriched in pathways such as inflammatory bowel disease, ECM-receptor interaction, and Legionellosis (Figure S1A). In the allogeneic group, downregulated genes were mainly enriched in pathways such as cardiac muscle contraction, vascular smooth muscle contraction and adrenergic signalling in cardiomyocytes (Figure S1B).

GSEA was next performed on the ranked gene lists to extract biological insights at the pathway level. GSEA results for IL6_JAK_STAT3_SIGNALING pathways of the ranked gene lists in autologous and allogeneic HSCT groups are shown in Figure 4. For the autologous cohort, the IL6–JAK–STAT3 signalling pathway showed negative enrichment (NES = –1.56, FDR = 0.00), indicating significant downregulation of the pathway. Core enriched genes included IFNGR1, IL10RB, and IL7. For the allogeneic cohort, the pathway also displayed negative enrichment (NES = –1.72, FDR = 0.05), similarly suggesting downregulation. Core enriched genes included CD38, IL12RB1, and ACVR1B. Together, these findings demonstrate a consistently reduced IL6–JAK–STAT3 signalling signature in both transplant groups.

In conclusion, multiple platelet-associated genes were altered during HSCT, with a broader transcriptional shift observed in the allogeneic cohort compared with the autologous cohort. Importantly, contrary to our initial expectation, the GSEA analysis indicates that the IL6–JAK–STAT3 signalling pathway is downregulated rather than activated in both groups. The JAK–STAT axis is known to regulate haematopoiesis and immune reconstitution7; therefore, suppression of this pathway in platelets may reflect altered cytokine responsiveness or compensatory downmodulation of deleterious immune reactions following HSCT.8 Interestingly, several genes that changed significantly during HSCT, such as TCL1A, OLFM4, TCN1 and MYL4, are not classical platelet genes. This suggests that platelets may acquire transcriptional programs derived from hematopoietic or immune compartments during engraftment. For example, the increased expression of TCL1A,9 a known promoter of HSC expansion, may point toward broader interactions between platelets and stem cell biology. Our study is limited by the relatively small cohort size, variable time points and disease heterogeneity; nonetheless, it provides new insight into how platelet-associated transcriptional signatures may reflect immune and engraftment dynamics during HSCT.

LL and RM performed research; all authors wrote and appproved the manuscript.

The authors declare no conflicts of interest.

This study was approved by the Institutional Review Board of the University of Kentucky (IRB # 61338). Informed consent was obtained from all study participants.

Research materials and supporting information can be made available by contacting the corresponding author.

Abstract Image

干细胞移植后血小板转录组的变化
亲爱的编辑:血小板在止血、血管生物学和免疫方面发挥作用活化的血小板可加重或调节免疫反应。干细胞移植是治疗白血病、淋巴瘤和其他一些疾病的有效方法。目前尚不清楚血小板转录组是否在移植后的恢复期显示免疫激活标记。我们研究的目的是确定移植后血小板转录组的变化(这是骨髓中巨核细胞发生事件的必然结果)。人们发现对血小板转录组的研究对人类健康和疾病的发现是有用的在脓毒症中,发现了人类和小鼠血小板转录组的改变。脓毒症诱导血小板上ITGA2B基因的上调可预测死亡率据我们所知,造血干细胞移植(HSCT)后的血小板转录组从未被系统地研究过。自体移植允许进行大剂量化疗。此外,同种异体移植在髓性白血病中产生最明显的免疫反应。两种移植都有治愈的可能。早期的一项研究利用流式细胞术研究了同种异体移植后的血小板标志物,发现血小板受体和颗粒存在缺陷在日本最近的一项研究中,早期血小板减少是异体造血干细胞移植后不良预后的一个危险因素。5我们假设转录组改变可能与并发症相关,并可能预测自体和异体造血干细胞移植后的预后。按标准方法分离纯化血小板这包括GPA和LCA的负头选择。共8例患者在HSCT前后进行了研究。4例患者接受了自体造血干细胞移植,4例患者接受了异体造血干细胞移植。这些患者的详细情况见表1。RNA测序采用Illumina NovaSeq 6000,转录组分析采用R、基因本体(GO)、京都基因与基因组百科全书(KEGG)和基因集富集分析(GSEA)。在分离血小板和RNA后,测序生成原始基因数据集,并使用R算法进行比较。所有隔离均为一式两份。在第一个比较中,我们根据移植类型汇总所有数据,检测了两种类型HSCT(自体(图1A)和异体(图1C))前后的基因表达。应用log2 (FC) &gt; 1和FDR &lt; 0.01(蓝点)或FDR &lt; 0.05(红点)的阈值。进一步根据log2FC鉴定出差异表达最高的基因并进行排序(图1B,D)。从这一分析来看,自体造血干细胞移植引起的基因表达变化比同种异体干细胞移植(SCT)少。在自体队列中,我们在血小板转录组中发现了7个下调基因和8个上调基因。在同种异体移植患者中,血小板转录组中只有6个基因下调,而有58个基因上调(图1)。在自体HSCT组中,TCL1A、CFP和CD4基因上调,而OLFM4、LOC100420587和TPTEP1基因显著下调(图1B)。在同种异体HSCT组中,TCN1、SLP1和MPO高度上调,MYL4、PDZK1IP1和FAM110B显著下调(图1D)。图1E显示了8个选定基因TCL1A、CD4、OLFM4、MYL4、TCN1、LTF、CAMP和VCAN在自体和异体移植前后血小板中的表达变化。值得注意的是,TCL1A、CD4、TCN1、LTF、CAMP和VCAN在自体和异体移植后均表现出显著上调。相反,OLFM4和MYL4表现出显著的下调。为了进一步了解自体和异体造血干细胞组中血小板基因表达的变化,我们使用GO、KEGG和GSEA进行了功能注释。使用Shiny GO 0.80版本、GSEA 4.3.2版本和R软件包对数据集进行这些分析。这些分析中使用的基因集来源于各组中上调的基因,比较移植前后的表达水平。这种方法使我们能够捕捉到与移植过程相关的基因表达的动态变化。通过关注移植后上调的基因,我们旨在揭示参与免疫反应、细胞修复和造血恢复的关键途径。通过氧化石墨烯分析来诠释上调基因的生物学作用,包括生物学过程、细胞成分和分子功能。在图2和图3中,分别显示了自体和异体群体的基因。KEGG数据库集成了基因组、化学和系统功能信息。 我们的研究结果表明,自体组中的上调基因主要富集于原发性免疫缺陷、抗原加工和递呈以及造血细胞谱系等途径。自体组下调基因主要富集于炎症性肠病、ecm受体相互作用和军团菌病等途径(图S1A)。在同种异体组中,下调基因主要富集于心肌收缩、血管平滑肌收缩和心肌细胞肾上腺素能信号传导等通路(图S1B)。GSEA接下来在排序的基因列表上执行,以提取通路水平的生物学见解。在自体和异体造血干细胞组中,排名基因列表的IL6_JAK_STAT3_SIGNALING通路的GSEA结果如图4所示。在自体队列中,IL6-JAK-STAT3信号通路呈负富集(NES = -1.56, FDR = 0.00),表明该通路明显下调。核心富集基因包括IFNGR1、IL10RB和IL7。对于同种异体队列,该通路也表现为负富集(NES = -1.72, FDR = 0.05),同样表明下调。核心富集基因包括CD38、IL12RB1和ACVR1B。总之,这些发现表明,在两个移植组中,IL6-JAK-STAT3信号信号一致降低。总之,在造血干细胞移植过程中,多个血小板相关基因发生了改变,与自体队列相比,在同种异体队列中观察到更广泛的转录变化。重要的是,与我们最初的预期相反,GSEA分析表明,在两组中,IL6-JAK-STAT3信号通路是下调的,而不是激活的。已知JAK-STAT轴调节造血和免疫重建7;因此,血小板中这一途径的抑制可能反映了HSCT后细胞因子反应性的改变或有害免疫反应的代偿性下调。有趣的是,在HSCT期间发生显著变化的几个基因,如TCL1A、OLFM4、TCN1和MYL4,并不是经典的血小板基因。这表明血小板在移植过程中可能获得来自造血或免疫区室的转录程序。例如,TCL1A(一种已知的HSC扩增启动子)的表达增加可能指向血小板和干细胞生物学之间更广泛的相互作用。我们的研究受限于相对较小的队列规模、可变的时间点和疾病异质性;尽管如此,它为血小板相关转录特征如何反映造血干细胞移植期间的免疫和移植动态提供了新的见解。LL和RM进行研究;所有的作者都写了稿子并同意了。作者声明无利益冲突。本研究已获得肯塔基大学机构审查委员会批准(IRB # 61338)。获得了所有研究参与者的知情同意。研究资料和支持信息可以通过联系通讯作者获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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