科研日报 2026-07-19

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📅 Daily Report - 2026-07-19

今日筛选出 32 条内容,来自 2 个来源

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🤖 今日AI智能总结

🧬 数据前沿

今日焦点: 单细胞转录组学技术在揭示免疫细胞异质性、肿瘤微环境重塑以及疾病机制方面展现出突破性进展。

主要方向

  • 免疫失调与疾病机制:解析1型糖尿病胰腺淋巴结中免疫失调及CD8+ T细胞富集机制;研究压力-免疫相互作用对疾病风险的影响;揭示HLA II类基因表达受阻在唐氏综合征儿童急性白血病发生中的作用。
  • 肿瘤生物学与治疗:探究KPNA3在胶质母细胞瘤耐药中的作用;分析内皮-间充质转化在肿瘤干细胞和促肿瘤生成中的角色;识别METTL1介导的tRNA修饰在胰腺导管腺癌代谢适应中的作用。
  • 免疫细胞功能与调控:阐明组氨酰-tRNA合成酶诱导的肌炎中克隆性扩增的CD4+组织驻留记忆T细胞;研究PD-1在脑部CD4+ T细胞介导的CD8+ T细胞反应中的调控作用。

技术亮点

  • 单细胞测序技术的广泛应用:在多种疾病(如肌炎、肿瘤、糖尿病)研究中,利用单细胞RNA测序深入解析细胞异质性、发育轨迹和相互作用。
  • 新型单分子条形码技术:为单细胞基因组学研究提供了新的技术支撑。

🧪 博客更新

今日焦点: 单细胞RNA测序技术在解析免疫响应方面取得突破,通过构建细胞类型特异性功能模块和开发多尺度解卷积方法,显著提升了对免疫疾病和衰老机制的理解。

主要方向

  • 解析细胞类型特异性的免疫响应机制
  • 揭示免疫衰老和疾病的分子基础
  • 整合多组学数据以提升大规模转录组研究的精度

技术亮点

  • scImmuneCo:首次构建了细胞类型特异性的免疫功能模块数据库,用于分析单细胞RNA测序数据。
  • Rectangle:开发了一种新型鲁棒且可扩展的多尺度解卷积方法,结合了批量和单细胞RNA测序数据,实现对细胞类型和状态的精准识别。

📚 分类浏览

🧬 数据前沿 (30条)

详细内容(前10条)

1.GSE298811 1型糖尿病胰腺淋巴结中免疫失调和干细胞样CD8+ T细胞富集

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:immune、lymph、T cell、regex:lymph(o|atic)?、enrichment
  • 📝 描述:Contributors : Leeana Peters ; Howard Seay ; Justin A Smith ; Amanda L Posgai ; Reed L Berkowitz ; Clive H Wasserfall ; Mark A Atkinson ; Rhonda Bacher ; Maigan A Brusko ; Todd M BruskoSeries Type : Expression profiling by high throughput sequencing ; OtherOrganism : Homo sapiensEffector CD8+ T cells are key drivers of type 1 diabetes (T1D) pathogenesis, yet questions remain regarding the molecular defects leading to altered cytotoxicity, peripheral tissue phenotype, and receptor specificity. We analyzed human pancreatic lymph nodes (pLN) using mass cytometry and single-cell RNA sequencing (scRNAseq) with combined T cell receptor (TCR) profiling. Cytometric analysis revealed enrichment of T stem-cell memory (TSCM)-like cells (CD8+CD45RA+CD27+CD28+CCR7+CXCR3+) in T1D pLNs. scRNAseq indicated an elevated inflammatory cytokine gene signature (IFITM3, LTB) along with regulators of terminal differentiation (BCL6, BCL3), coupled with downregulation of exhaustion-associated genes (DUSP2, NR4A2, TSC22D3) in CD8+ T cells in T1D pLN. Immune Response Enrichment Analysis (IREA) indicated IL-15 signaling as a significant driver of these phenotypes. Integrated TCR and transcriptomic analysis revealed a cluster of diverse naïve-like CD8+ T cell clones in T1D pLN. Comparison of pLN and pancreatic slice isolates supported sharing of effector CD8+ T cells, with enhanced terminal effector signatures within the pancreas relative to paired pLN. Multiplex imaging revealed differential localization of TCF1 and TOX-expressing T cells in the pancreas, with islet-proximal TCF1+TOX+ cells displaying a mixture of activation and exhaustion-associated phenotypes. Thus, we provide multimodal cellular profiles enriched in T1D tissues for consideration in therapeutic targeting.
  • 🔗 查看原文

2.GSE334840 单细胞转录组学揭示了应激与免疫的相互作用,并为疾病风险评估提供了信息。

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:immune、single-cell、transcriptomics
  • 📝 描述:Contributors : Sofia Benavides ; Oksana Kosyk ; Haiyang Wang ; Alexander B. Bastian ; Christina Georgiou ; Brian C. Miller ; Natalie Stanley ; Anthony S. ZannasSeries Type : Expression profiling by high throughput sequencingOrganism : Homo sapiensEnvironmental stress contributes to many disease conditions – including cardiovascular disease, mental illness, and autoimmune disorders – through immune dysregulation. Stress operates through the hypothalamic-pituitary-adrenal and sympathoadrenal axes, leading to peripheral secretion of cortisol and norepinephrine, respectively. While stress hormones can profoundly influence immune function, their mechanistic effects at the cell-type level remain poorly understood. To address this knowledge gap, we employed an ex vivo model investigating the transcriptomic responses of primary peripheral blood mononuclear cells and neutrophils to physiological stress levels (i.e., levels reached during in vivo stress) of cortisol and norepinephrine at single-cell resolution. We identified novel stress-hormone-dependent and cell-type-specific transcriptomic changes, including uniquely regulated genes and inflammation-related signatures within distinct innate (e.g., CD163+ monocytes/macrophages, neutrophils) and other immune cell types. The single-cell-derived signatures effectively distinguished individuals with stress-related diseases in two independent human cohorts. Our findings provide cell-type-level insights into how stress hormones modulate immune function relevant to stress-related conditions.
  • 🔗 查看原文

3.GSE314941 研究表明,在唐氏综合征患儿中,黏连蛋白突变会抑制HLA II类基因表达,从而促进免疫逃逸,最终发展为急性白血病。

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:leukemia、immune、HLA
  • 📝 描述:Series Type : Genome binding/occupancy profiling by high throughput sequencing ; Other ; Expression profiling by high throughput sequencingOrganism : Homo sapiensThis SuperSeries is composed of the SubSeries listed below.
  • 🔗 查看原文

4.GSE336063 单细胞 RNA 测序揭示组氨酰 tRNA 合成酶诱导的肌炎中 CD4+ 组织驻留记忆 T 细胞的克隆扩增 [RNA-seq]

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、RNA-seq、single-cell
  • 📝 描述:Contributors : Decheng Li ; Daniel Reay ; Iago Pinal-Fernadez ; Maria Casal-Dominguez ; Andrew Mammen ; Sarah Gaffen ; Timothy Oriss ; Dana AschermanSeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusThe precise mechanisms underlying the pathogenesis of idiopathic inflammatory myopathy (IIM) remain undefined. However, there has been increasing recognition that tissue-resident memory cells (TRMs) play an important role in the pathogenesis of systemic autoimmune disease. In IIM, TRM-associated transcriptional signatures have been reported, but on a very limited basis. By using multimodal single-cell RNA sequencing analysis in our established murine model of histidyl-tRNA synthetase (HRS)-induced myositis, we identified a prominent population of CD4+ TRMs in inflamed skeletal muscle. Muscle CD4+ TRMs exhibited high expression of genes encoding Cd69, Cxcr6, Runx3, and Prdm1, alongside low expression of Klf2, Ccr7, Sell, S1pr1, and Tcf7—a profile that is generally consistent with previous reports of TRM gene signature and that we validate through comparison to transcriptomic profiles of human muscle tissue. Detailed pathway analysis in our model indicates that muscle CD4+ TRMs contribute to innate immune regulatory pathways enriched for TNF and IFN-γ signaling. Furthermore, analysis of TCR clonotype distribution and CDR3 sequence similarity revealed pronounced clonal expansion of CD4⁺ TRMs relative to other T-cell subsets—a pattern that remained stable from 2 to 6 weeks post-immunization. Collectively, these results suggest a potential role for CD4+ TRMs in the pathogenesis of autoimmune myositis.
  • 🔗 查看原文

5. GSE327029 KPNA3 通过上调 MGMT 和激活 STAT3 来维持胶质瘤干细胞,从而驱动胶质母细胞瘤产生替莫唑胺耐药性。

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:glioma、resistance
  • 📝 描述:Contributors : Yanru Gao ; He Yuan ; Houling Zhou ; Chao Gao ; Suling Sun ; Chuanjie He ; Zhiyou FangSeries Type : Expression profiling by high throughput sequencingOrganism : Homo sapiensGlioblastoma (GBM) invariably develops resistance to temozolomide (TMZ), the frontline chemotherapeutic agent, leading to treatment failure. The molecular mechanisms underlying this resistance remain incompletely understood. Here, we identify karyopherin subunit alpha 3 (KPNA3) as a novel and critical driver of TMZ resistance. Through integrated bioinformatics analysis of temozolomide-resistant glioma cells (SF126R) and patient databases, we found KPNA3 expression is elevated in TMZ-resistant contexts and correlates with poor prognosis in TMZ-treated patients. Functional studies demonstrated that KPNA3 knockdown in resistant cells impaired malignant behaviors, re-sensitized cells to TMZ-induced apoptosis, and suppressed glioma stem cell (GSC) properties, including sphere formation and expression of stemness factors (OCT4, ALDH1A1). Mechanistically, KPNA3 promotes resistance via a dual pathway: it upregulates the expression of the DNA repair enzyme MGMT and activates the STAT3 signaling pathway. KPNA3 knockdown reduced both MGMT levels and STAT3 phosphorylation (Tyr705). Furthermore, pharmacological inhibition of STAT3 mirrored the effect of KPNA3 knockdown by potently inhibiting GSC generation. Clinically, KPNA3 and p-STAT3 protein levels were positively correlated in high-grade glioma tissues. Collectively, our findings unveil KPNA3 as a central regulator that concurrently enhances DNA repair and sustains the GSC population to foster TMZ resistance, nominating it as a promising therapeutic target for overcoming chemoresistance in GBM.
  • 🔗 查看原文

6. GSE335842 单细胞 RNA 测序揭示组氨酰 tRNA 合成酶诱导的肌炎中 CD4+ 组织驻留记忆 T 细胞的克隆扩增

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、single-cell
  • 📝 描述:Series Type : Expression profiling by high throughput sequencingOrganism : Homo sapiens ; Mus musculusThis SuperSeries is composed of the SubSeries listed below.
  • 🔗 查看原文

7. GSE335841 单细胞 RNA 测序揭示了组氨酰 tRNA 合成酶诱导的肌炎中 CD4+ 组织驻留记忆 T 细胞的克隆扩增 [2]

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、single-cell
  • 📝 描述:Contributors : Decheng Li ; Daniel Reay ; Iago Pinal-Fernadez ; Maria Casal-Dominguez ; Andrew Mammen ; Sarah Gaffen ; Timothy Oriss ; Dana AschermanSeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusThe precise mechanisms underlying the pathogenesis of idiopathic inflammatory myopathy (IIM) remain undefined. However, there has been increasing recognition that tissue-resident memory cells (TRMs) play an important role in the pathogenesis of systemic autoimmune disease. In IIM, TRM-associated transcriptional signatures have been reported, but on a very limited basis. By using multimodal single-cell RNA sequencing analysis in our established murine model of histidyl-tRNA synthetase (HRS)-induced myositis, we identified a prominent population of CD4+ TRMs in inflamed skeletal muscle. Muscle CD4+ TRMs exhibited high expression of genes encoding Cd69, Cxcr6, Runx3, and Prdm1, alongside low expression of Klf2, Ccr7, Sell, S1pr1, and Tcf7—a profile that is generally consistent with previous reports of TRM gene signature and that we validate through comparison to transcriptomic profiles of human muscle tissue. Detailed pathway analysis in our model indicates that muscle CD4+ TRMs contribute to innate immune regulatory pathways enriched for TNF and IFN-γ signaling. Furthermore, analysis of TCR clonotype distribution and CDR3 sequence similarity revealed pronounced clonal expansion of CD4⁺ TRMs relative to other T-cell subsets—a pattern that remained stable from 2 to 6 weeks post-immunization. Collectively, these results suggest a potential role for CD4+ TRMs in the pathogenesis of autoimmune myositis.
  • 🔗 查看原文

8. GSE335819 单细胞 RNA 测序揭示了组氨酰 tRNA 合成酶诱导的肌炎中 CD4+ 组织驻留记忆 T 细胞的克隆扩增 [1]

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、single-cell
  • 📝 描述:Contributors : Decheng Li ; Daniel Reay ; Iago Pinal-Fernadez ; Maria Casal-Dominguez ; Andrew Mammen ; Sarah Gaffen ; Timothy Oriss ; Dana AschermanSeries Type : Expression profiling by high throughput sequencingOrganism : Homo sapiensThe precise mechanisms underlying the pathogenesis of idiopathic inflammatory myopathy (IIM) remain undefined. However, there has been increasing recognition that tissue-resident memory cells (TRMs) play an important role in the pathogenesis of systemic autoimmune disease. In IIM, TRM-associated transcriptional signatures have been reported, but on a very limited basis. By using multimodal single-cell RNA sequencing analysis in our established murine model of histidyl-tRNA synthetase (HRS)-induced myositis, we identified a prominent population of CD4+ TRMs in inflamed skeletal muscle. Muscle CD4+ TRMs exhibited high expression of genes encoding Cd69, Cxcr6, Runx3, and Prdm1, alongside low expression of Klf2, Ccr7, Sell, S1pr1, and Tcf7—a profile that is generally consistent with previous reports of TRM gene signature and that we validate through comparison to transcriptomic profiles of human muscle tissue. Detailed pathway analysis in our model indicates that muscle CD4+ TRMs contribute to innate immune regulatory pathways enriched for TNF and IFN-γ signaling. Furthermore, analysis of TCR clonotype distribution and CDR3 sequence similarity revealed pronounced clonal expansion of CD4⁺ TRMs relative to other T-cell subsets—a pattern that remained stable from 2 to 6 weeks post-immunization. Collectively, these results suggest a potential role for CD4+ TRMs in the pathogenesis of autoimmune myositis.
  • 🔗 查看原文

9. GSE327176 单细胞转录组分析揭示肿瘤介导的中性粒细胞重编程及其抑制转移的独特脆弱性

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:tumor、single-cell
  • 📝 描述:Contributors : Will Putzbach ; Abul Islam ; Maria P Zappia ; Maxim V Frolov ; Nissim HaySeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusWe performed single cell RNA sequencing (scRNAseq) with the 10x Genomics platform to study how neutrophils are reprogrammed during breast tumorigenesis. Neutrophils acquire a pro-metastatic phenotype induced by signals eminating from the tumor. This comprehensive scRNAseq study assessed neutrophils from various tissues in naive and tumor-bearing MMTV-PyMT mice to uncover how neutrophils are transcriptionally modified. We found that neutrophils are reprogrammed similarly amongst tissues in tumor-bearing mice, and that G-CSF is the main driver of this.
  • 🔗 查看原文

10. GSE299266 通过对耳蜗中表达pendrin的细胞进行单细胞RNA测序,鉴定出Slc26a4的一种新型亚型

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、single-cell
  • 📝 描述:Series Type : Expression profiling by high throughput sequencingOrganism : Mus musculusThis SuperSeries is composed of the SubSeries listed below.
  • 🔗 查看原文

💡 该来源还有 20 条内容,详见 文末

🧪 博客更新 (2条)

详细内容(全部2条)

1.scImmuneCo——一个包含细胞类型特异性功能模块的汇编,用于从单细胞RNA测序数据中解码免疫反应。

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:immune、RNA-seq、single-cell
  • 📝 描述:Single-cell RNA sequencing powers scImmuneCo, revealing cell-specific gene networks that improve our understanding of immune responses, aging, and disease…
  • 🔗 查看原文

2. Rectangle——一种基于单细胞RNA测序数据的稳健且可扩展的多尺度反卷积方法

  • ✍️ 作者:未知作者
  • 🏷️ 关键词:sequencing、single-cell
  • 📝 描述:Rectangle combines bulk and single-cell RNA sequencing to accurately identify cell types and cell states, making large transcriptomic studies more informative and scalable…
  • 🔗 查看原文

📊 关键词统计

关键词出现次数
single-cell12
sequencing10
cancer6
immune4
RNA-seq4
T cell4
tumor4
enrichment2
transcriptomics1
glioma1
resistance1
leukemia1
HLA1
genome1
inflammation1
metabolic1
lymph1
regex:lymph(oatic)?
genomics1

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🧬 数据前沿 其他内容 (20条)

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