弥漫性大B细胞淋巴瘤B细胞单细胞转录组数据集

基于单细胞RNA测序的弥漫性大B细胞淋巴瘤B细胞亚群数据集,用于识别预后相关的癌症干细胞样B细胞。

NIAID Data Ecosystem
浏览 13
基因组diffuse large B cell lymphomacancer stem cellsingle-cell RNA sequencingbulk RNA sequencingtranscription factorimmune escape
Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolution.xlsx

基本信息

模态
基因组
大小
0.000041139 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

弥漫性大B细胞淋巴瘤B细胞单细胞转录组数据集

【一句话概览】

本数据集是 figshare 公开的组学数据集,收录 1 个文件、合计 41.14 KB,主题涵盖 diffuse large B cell lymphoma、cancer stem cell、single-cell RNA sequencing、bulk RNA sequencing、transcription factor,可用于生物标志物发现与分子分型研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolution.xlsx》。配套论文《RETRACTED ARTICLE: Knockdown of zinc finger protein 267 suppresses diffuse large B-cell lymphoma progression, metastasis, and cancer stem cell properties》发表于 Bioengineered(2022),DOI:10.1080/21655979.2021.2014644。源站首次发布:2023-12-11。

【数据内容】

源站原始描述:BackgroundDiffuse large B-cell lymphoma (DLBCL) represents the most prevalent form of aggressive non-Hodgkin lymphoma. Despite receiving standard treatment, a subset of patients undergoes refractory or recurrent cases, wherein the involvement of cancer stem cells (CSCs) could be significant. MethodsWe comprehensively characterized B cell subpopulations using single-cell RNA sequencing data from three DLBCL samples and one normal lymph tissue. The CopyKat R package was employed to assess the mali…

【数据结构与技术规格】

文件数 1 个,合计 41.14 KB。Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolut.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,41.14 KB。数据集 DOI:10.3389/fimmu.2023.1310292.s003。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:diffuse large B cell lymphoma、cancer stem cell、single-cell RNA sequencing、bulk RNA sequencing、transcription factor、immune escape。

【适用方向】

组学数据适用于生物标志物发现与分子分型相关建模研究。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_2_Unraveling_the_enigma_of_B_cells_in_diffuse_large_B-cell_lymphoma_unveiling_cancer_stem_cell-like_B_cell_subpopulation_at_single-cell_resolution_xlsx/24784515

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Liu, Fengling; Zheng, Jie; Yang, Gaohui; Pan, Lin; Xie, Yanni; Chen, Siyu; et al. (2023). Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolution.xlsx. Frontiers. Dataset

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下载信息

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需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolut.xlsx" "https://ndownloader.figshare.com/files/43586829"

文件清单

  • Table_2_Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolut.xlsx(41.14 KB)

文件总体积 41.14 KB(源站 API 实测)。

数据说明

BackgroundDiffuse large B-cell lymphoma (DLBCL) represents the most prevalent form of aggressive non-Hodgkin lymphoma. Despite receiving standard treatment, a subset of patients undergoes refractory or recurrent cases, wherein the involvement of cancer stem cells (CSCs) could be significant.
MethodsWe comprehensively characterized B cell subpopulations using single-cell RNA sequencing data from three DLBCL samples and one normal lymph tissue. The CopyKat R package was employed to assess the malignancy of B cell subpopulations based on chromosomal copy number variations. CIBERSORTx software was utilized to estimate the proportions of B cell subpopulations in 230 DLBCL tissues. Furthermore, we employed the pySCENIC to identify key transcription factors that regulate the functionality of B cell subpopulations. By employing CellphoneDB, we elucidated the interplay among tumor microenvironment components within the B cell subpopulations. Finally, we validated our findings through immunofluorescence experiments.
ResultsOur analysis revealed a specific cancer stem cell-like B cell subpopulation exhibiting self-renewal and multilineage differentiation capabilities based on the exploration of B cell subpopulations in DLBCL and normal lymph tissues at the single-cell level. Notably, a high infiltration of cancer stem cell-like B cells correlated with a poor prognosis, potentially due to immune evasion mediated by low expression of major histocompatibility complex molecules. Furthermore, we identified key transcription factor regulatory networks regulated by HMGB3, SAP30, and E2F8, which likely played crucial roles in the functional characterization of the cancer stem cell-like B cell subpopulation. The existence of cancer stem cell-like B cells in DLBCL was validated through immunofluorescent staining. Finally, cell communication between B cells and tumor-infiltrating T cell subgroups provided further insights into the functional characterization of the cancer stem cell-like B cell subpopulation.
ConclusionsOur research provides a systematic description of a specific cancer stem cell-like B cell subpopulation associated with a poor prognosis in DLBCL. This study enhances

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2023.1310292.s003(source: https://frontiersin.figshare.com/articles/dataset/Table_2_Unraveling_the_enigma_of_B_cells_in_diffuse_large_B-cell_lymphoma_unveiling_cancer_stem_cell-like_B_cell_subpopulation_at_single-cell_resolution_xlsx/24784515)。

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