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文献-挖掘

文献--挖掘AD单细胞数据分析NK浸润

Expression of Immune Related Genes and Possible Regulatory Mechanisms in Alzheimer’s Disease doi: 10.3389/fimmu.2021.768966 05 November 2021 核心结论:AD病人外周血中的NK细胞浸润到大脑中参与AD病理过程的免疫反应。 1、公共数据 1.1 测序数据集 (1)GSE181279:AD+Control的外周血 scRNA-seq ...

Create:&nbsp;<span title='2022-10-30 00:00:00 +0000 UTC'>2022-10-30</span>&nbsp;|&nbsp;Update:&nbsp;2022-10-30&nbsp;|&nbsp;Words:&nbsp;780&nbsp;|&nbsp;2 min&nbsp;|&nbsp;Lishensuo

文献--基于肝细胞癌M2样肿瘤巨噬细胞建立预后模型

文章题目:M2-like tumor-associated macrophage-related biomarkers to construct a novel prognostic signature, reveal the immune landscape, and screen drugs in hepatocellular carcinoma 发表期刊及日期:Front Immunol, 2022 Sep 13 DOI:10.3389/fimmu.2022.994019 简单背景(wikipedia)— ...

Create:&nbsp;<span title='2022-11-13 00:00:00 +0000 UTC'>2022-11-13</span>&nbsp;|&nbsp;Update:&nbsp;2022-11-13&nbsp;|&nbsp;Words:&nbsp;1566&nbsp;|&nbsp;4 min&nbsp;|&nbsp;Lishensuo

文献--椎间盘退行性疾病bulk与scRNA-seq数据挖掘

文章题目:Revealing the Key MSCs Niches and Pathogenic Genes in Influencing CEP Homeostasis: A Conjoint Analysis of Single-Cell and WGCNA 杂志/日期:Front. Immunol. / 27 June 2022 DOI:10.3389/fimmu.2022.933721 ...

Create:&nbsp;<span title='2022-12-01 00:00:00 +0000 UTC'>2022-12-01</span>&nbsp;|&nbsp;Update:&nbsp;2022-12-01&nbsp;|&nbsp;Words:&nbsp;1042&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo

文献--小鼠缺血性中风单细胞数据分析

题目:Single-cell RNA-seq reveals the transcriptional landscape in ischemic stroke 期刊/日期:ournal of Cerebral Blood Flow & Metabolism / 24 May 2021 DOI:10.1177/0271678X211026770 ...

Create:&nbsp;<span title='2022-12-11 00:00:00 +0000 UTC'>2022-12-11</span>&nbsp;|&nbsp;Update:&nbsp;2022-12-11&nbsp;|&nbsp;Words:&nbsp;1311&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo

文献--WGCNA发现的卵巢癌肿瘤相关成纤维细胞的预后模型

题目 : Integrative Analysis From Multicenter Studies Identifies a WGCNA-Derived Cancer-Associated Fibroblast Signature for Ovarian Cancer 期刊 | 日期 : https://doi.org/10.3389/fimmu.2022.951582 | 06 June 2022 概述:发现6个基因(COL16A1, COL5A2, GREM1, LUM, SRPX, TIMP3)组成的卵巢癌肿瘤相关成纤维细胞相关的signature ...

Create:&nbsp;<span title='2022-12-18 00:00:00 +0000 UTC'>2022-12-18</span>&nbsp;|&nbsp;Update:&nbsp;2022-12-18&nbsp;|&nbsp;Words:&nbsp;1793&nbsp;|&nbsp;4 min&nbsp;|&nbsp;Lishensuo

文献-数据挖掘-肾癌与凝血相关基因

题目: Integrated analysis to identify the prognostic and immunotherapeutic roles of coagulation-associated gene signature in clear cell renal cell carcinoma 期刊 | 日期:Frontiers in Immunology | 17 March 2023 DOI:https://doi.org/10.3389/fimmu.2023.1107419 ...

Create:&nbsp;<span title='2023-04-01 00:00:00 +0000 UTC'>2023-04-01</span>&nbsp;|&nbsp;Update:&nbsp;2023-04-01&nbsp;|&nbsp;Words:&nbsp;1003&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo

文献-数据挖掘-肺腺癌相关基因对

题目:BTG2 and SerpinB5, a novel gene pair to evaluate the prognosis of lung adenocarcinoma 期刊 | 日期:Frontiers in Immunology | 17 March 2023 DOI:https://doi.org/10.3389/fimmu.2023.1098700 ...

Create:&nbsp;<span title='2023-04-01 00:00:00 +0000 UTC'>2023-04-01</span>&nbsp;|&nbsp;Update:&nbsp;2023-04-01&nbsp;|&nbsp;Words:&nbsp;534&nbsp;|&nbsp;2 min&nbsp;|&nbsp;Lishensuo

文献--综合多种分析建立TNBC预后模型

A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer April 19, 2021; IF=5.4 https://doi.org/10.1016/j.isci.2021.102451 1、WGCNA分析 (1)对773个来自TCGA的BRCA(包括92个TNBC)的31338个基因表达数据进行WGCNA网络共表达分析 ...

Create:&nbsp;<span title='2022-05-06 00:00:00 +0000 UTC'>2022-05-06</span>&nbsp;|&nbsp;Update:&nbsp;2022-05-06&nbsp;|&nbsp;Words:&nbsp;2226&nbsp;|&nbsp;5 min&nbsp;|&nbsp;Lishensuo

文献--四逆散与非酒精性脂肪肝网药分析

Network Pharmacology-Based Analysis on the Potential Biological Mechanisms of Sinisan Against Non-Alcoholic Fatty Liver Disease(四逆散–非酒精性脂肪肝) 27 August 2021 Front Pharmacol, IF=5.8 DOI: 10.3389/fphar.2021.693701 分析思路 文章的流程图 1、数据收集 1.1 TCM数据 四味中药:柴胡、白芍、枳实、甘草 ...

Create:&nbsp;<span title='2022-04-10 00:00:00 +0000 UTC'>2022-04-10</span>&nbsp;|&nbsp;Update:&nbsp;2022-04-28&nbsp;|&nbsp;Words:&nbsp;1203&nbsp;|&nbsp;3 min&nbsp;|&nbsp;Lishensuo

文献--生信套路之肿瘤预后

【01】ccRCC与免疫浸润 标题:Landscape of immune cell infiltration in clear cell renal cell carcinoma to aid immunotherapy 期刊|日期:Cancer Science | 13 March 2021 1 第一次分亚群 TCGA 525样本(TPM) 29个 imunne signature:16 免疫细胞与13个免疫相关功能 使用ssGSEA方法计算每个样本的signature score 基于signature score,使用ConsensuClusterPlus包分得5个亚群 PCA可视化轮廓 PD-1与PD-L1表达差异 C1+C4与C2+C3+C5间生存差异 2 第二次分亚群 两大组之间(C1+C4与C2+C3+C5)进行差异分析,得到658个差异基因 基于上述差异基因,再次使用ConsensuClusterPlus包重新分成3个亚群 PCA可视化轮廓 PD-1与PD-L1表达差异 三组间生存分析 29种signature score在三组间的分布差异 immune score与stromal score在三组间的分布差异(ESTIMATE) 根据与分组的相关性,将上述差异基因分成signature A/B 通路富集分析 3 TII分数及衍生分析 分别计算signatue A/B的第一主成分之和,然后相减作为每个样本的TII score 根据survmier包计算最佳阈值划分成high与low score两组,并进行一系列后续分析: (1)生存分析 ...

Create:&nbsp;<span title='2023-04-17 00:00:00 +0000 UTC'>2023-04-17</span>&nbsp;|&nbsp;Update:&nbsp;2024-04-17&nbsp;|&nbsp;Words:&nbsp;2251&nbsp;|&nbsp;5 min&nbsp;|&nbsp;Lishensuo
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