来自杂志 Nature Biotechnology 的文献。
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1.
白鸟 (2025-12-31 16:53):
#paper DOI: 10.1038/s41587-025-02612-0, Scalable spatial transcriptomics through computational array reconstruction.2025 文献提出了一种无成像的空间转录组技术,通过分子扩散与降维计算重建空间条形码定位,重点是不依赖显微成像,通过计算推断空间位置。 1.传统的空间转录组(基于成像):“先拍图、再定位”,通过高质量显微成像确定每一个捕获点在组织中的物理位置,再将转录信息映射到空间坐标; 2.无成像空转具体原理:不使用成像,利用分子之间的扩散关系,通过计算把空间位置“算”出来。 (1)实验设计:芯片采用“马赛克式”微珠阵列,随机分布两类微珠:捕获珠用于捕获组织来源的mRNA;可扩散珠不捕获RNA,只负责“发信号”,释放带有空间条形码的信号分子。 (2)分子扩散:通过光解,可扩散珠上的DNA条形码被释放并向周围扩散,类似墨水滴入水中,被附近的捕获珠“接住”,从而形成捕获珠与扩散珠之间的扩散关系矩阵。 (3)降维重建:扩散矩阵中,行表示捕获珠,列表示扩散条形码,数值代表接收强度。若两个捕获珠接收到高度相似的扩散条形码组合,则说明它们在空间上彼此接近。基于这一相似性结构,利用UMAP降维算法可重建微珠的相对空间位置。 3.商业转化价值: (1)对分子扩散效率高度依赖,在组织尺度增大或结构复杂时,局部空间重建可能出现偏差。 (2)在实际应用中,推导的空间位置需要真实图像数据验证和校准。
2.
Vincent (2025-08-31 18:12):
#paper https://doi.org/10.1038/s41587-021-01033-z Nat Biotechnol. 2022. Differential abundance testing on single-cell data using k-nearest neighbor graphs. 传统的单细胞差异丰度检测依赖将细胞划分为聚类再比较比例,但难以捕捉连续轨迹、微小变化,并受批次效应影响。本文提出的 Milo 基于 kNN 图,通过 重叠邻域建模细胞状态,并用 NB-GLM 统计检验,再结合 加权 Benjamini–Hochberg 控制空间 FDR,从而在复杂实验设计中保持准确性和灵活性。实验显示,Milo 在模拟和真实单细胞数据中均优于传统方法,能更敏锐地检测细胞状态变化。它运行高效、内存可控,适用于大规模数据,并可扩展至多组学。总体而言,Milo 提供了一种突破聚类局限的差异丰度检测方法,在疾病、衰老和发育研究中展现广泛应用潜力。
3.
孤舟蓑笠翁 (2025-03-02 17:41):
#paper doi:10.1038/s41587-024-02248-6;发表年份:2024;期刊:Nature Biotechnology;标题:High-throughput discovery of MHC class I- and II-restricted T cell epitopes using synthetic cellular circuits。传统抗原检测技术依赖人类原代T细胞,只能识别少数MHC类型(如人类MHC I类),且无法高效分析低亲和力抗原或跨物种(如小鼠)模型。为了解决这些问题,本研究开发了名为TCR-MAP的新技术,其核心是通过基因工程改造Jurkat细胞(一种实验室常用的T细胞系),使其携带特定T细胞受体(TCR)和一个名为Sortase A的酶;当TCR识别到抗原呈递细胞(如病毒感染的细胞或肿瘤细胞)表面的抗原肽-MHC复合物时,Sortase A会被激活,并在靶细胞表面打上生物素“标记”,随后通过磁珠富集这些标记细胞并测序解析抗原。实验证明,该技术能同时兼容人类和小鼠的MHC I/II类抗原,成功识别了CMV病毒抗原、肿瘤抗原(如CTAG1B)以及自身免疫疾病相关抗原(如心脏中的CKMT2),检测灵敏度达到微摩尔级(可发现极微量的抗原),且无需依赖不稳定的原代T细胞。这一平台为病毒逃逸研究、肿瘤疫苗开发和自身免疫病机制解析提供了高效工具,未来还可扩展至脂类等非蛋白抗原的检测。
Abstract:
AbstractAntigen discovery technologies have largely focused on major histocompatibility complex (MHC) class I-restricted human T cell receptors (TCRs), leaving methods for MHC class II-restricted and mouse TCR reactivities relatively undeveloped. … >>>
AbstractAntigen discovery technologies have largely focused on major histocompatibility complex (MHC) class I-restricted human T cell receptors (TCRs), leaving methods for MHC class II-restricted and mouse TCR reactivities relatively undeveloped. Here we present TCR mapping of antigenic peptides (TCR-MAP), an antigen discovery method that uses a synthetic TCR-stimulated circuit in immortalized T cells to activate sortase-mediated tagging of engineered antigen-presenting cells (APCs) expressing processed peptides on MHCs. Live, tagged APCs can be directly purified for deconvolution by sequencing, enabling TCRs with unknown specificity to be queried against barcoded peptide libraries in a pooled screening context. TCR-MAP accurately captures self-reactivities or viral reactivities with high throughput and sensitivity for both MHC class I-restricted and class II-restricted TCRs. We elucidate problematic cross-reactivities of clinical TCRs targeting the cancer/testis melanoma-associated antigen A3 and discover targets of myocarditis-inciting autoreactive T cells in mice. TCR-MAP has the potential to accelerate T cell antigen discovery efforts in the context of cancer, infectious disease and autoimmunity. <<<
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4.
笑对人生 (2022-10-07 00:02):
#paper doi: 10.1038/nbt.3344. PMID: 26372948. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes. Nat Biotechnol. 2015 Nov;33(11):1152-8. 主要组织相容性复合物(major histocompatibility complex,MHC)是一群紧密连锁并呈现高度多态性的基因群的统称。MHC编码的蛋白通常称为MHC分子或MHC抗原。MHC的发现源自异种移植产生免疫排斥反应。研究表明,脊椎动物都具有MHC抗原,但它们的命名并不相同。人的MHC抗原称为人类白细胞抗原(human leucocyte antigen,HLA)。编码HLA的DNA序列为6号染色体短臂上一段长度约为3600kb的区域。该区域含有224个基因座,每个基因座又分别含有众多等位基因,是目前人类已知的基因多态性最丰富的区域。HLA的生物学功能包括参与抗原呈递,制约细胞间相互识别和诱导免疫应答等。HLA主要分成三类,MHC I类分子几乎在集体所有细胞中表达,能够被CD8+ T细胞识别;MHC II类分子主要表达在抗原呈递细胞(APC),能够被CD4+T细胞识别;MHC III类分子包括补体系统的成分和与炎症相关的分子,例如C4、TNF和热休克蛋白。肿瘤细胞自身能够表达与正常细胞不同的抗原,称为肿瘤新生抗原(neoantigen)。新生抗原属于肿瘤特异性抗原(tumor specific antigen,TSA)。为了让TSA不被免疫细胞发现,肿瘤细胞会通过让HLA基因发生杂合性缺失(LOH)、下调HLA基因表达(突变)和分泌PD-L1来隐藏自身。既往的研究表明,体细胞HLA基因的突变增加是导致HLA功能缺失的重要原因。基于NGS的全外显子测序技术(WES)因性价比高和能有效检测几乎所有基因的突变,目前在临床和科研肿瘤基因组检测得到广泛应用。然而,由于HLA基因序列单一和高GC含量的序列特点,利用WES进行HLA分型仍旧存在不少挑战。为此,本研究开发了一个名为POLYSOLVER(POLYmorphic loci reSOLVER)的高精确度HLA分型算法,适用于低覆盖度的WES数据。该算法在7930位癌症患者的WES数据得到验证,并在检测体细胞HLA基因突变表现出高的灵敏度和特异度。
IF:33.100Q1 Nature Biotechnology, 2015. DOI: 10.1038/nbt.3344
Abstract:
Detection of somatic mutations in human leukocyte antigen (HLA) genes using whole-exome sequencing (WES) is hampered by the high polymorphism of the HLA loci, which prevents alignment of sequencing reads … >>>
Detection of somatic mutations in human leukocyte antigen (HLA) genes using whole-exome sequencing (WES) is hampered by the high polymorphism of the HLA loci, which prevents alignment of sequencing reads to the human reference genome. We describe a computational pipeline that enables accurate inference of germline alleles of class I HLA-A, B and C genes and subsequent detection of mutations in these genes using the inferred alleles as a reference. Analysis of WES data from 7,930 pairs of tumor and healthy tissue from the same patient revealed 298 nonsilent HLA mutations in tumors from 266 patients. These 298 mutations are enriched for likely functional mutations, including putative loss-of-function events. Recurrence of mutations suggested that these 'hotspot' sites were positively selected. Cancers with recurrent somatic HLA mutations were associated with upregulation of signatures of cytolytic activity characteristic of tumor infiltration by effector lymphocytes, supporting immune evasion by altered HLA function as a contributory mechanism in cancer. <<<
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