• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

单细胞转录组学中转录基因分型的靶向测序扩展。

A targeted sequencing extension for transcript genotyping in single-cell transcriptomics.

机构信息

https://ror.org/05f950310 Laboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.

https://ror.org/05f950310 Laboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium

出版信息

Life Sci Alliance. 2023 Sep 11;6(11). doi: 10.26508/lsa.202301971. Print 2023 Nov.

DOI:10.26508/lsa.202301971
PMID:37696578
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10494938/
Abstract

As no existing methods within the single-cell RNA sequencing repertoire combine genotyping of specific genomic loci with high throughput, we evaluated a straightforward, targeted sequencing approach as an extension to high-throughput droplet-based single-cell RNA sequencing. Overlaying standard gene expression data with transcript level genotype information provides a strategy to study the impact of genetic variants. Here, we describe this targeted sequencing extension, explain how to process the data and evaluate how technical parameters such as amount of input cDNA, number of amplification rounds, and sequencing depth influence the number of transcripts detected. Finally, we demonstrate how targeted sequencing can be used in two contexts: (1) simultaneous investigation of the presence of a somatic variant and its potential impact on the transcriptome of affected cells and (2) evaluation of allele-specific expression of a germline variant in ad hoc cell subsets. Through these and other comparable applications, our targeted sequencing extension has the potential to improve our understanding of functional effects caused by genetic variation.

摘要

由于单细胞 RNA 测序领域中现有的方法都不能将特定基因组位点的基因分型与高通量结合起来,我们评估了一种简单直接的靶向测序方法,作为高通量基于液滴的单细胞 RNA 测序的扩展。将标准基因表达数据与转录水平的基因型信息叠加提供了一种研究遗传变异影响的策略。在这里,我们描述了这种靶向测序的扩展,解释了如何处理数据,并评估了输入 cDNA 的量、扩增轮数和测序深度等技术参数如何影响检测到的转录本数量。最后,我们展示了靶向测序如何在两种情况下使用:(1)同时调查体细胞变异的存在及其对受影响细胞转录组的潜在影响,(2)评估嵌合细胞亚群中种系变异的等位基因特异性表达。通过这些和其他类似的应用,我们的靶向测序扩展有可能提高我们对遗传变异引起的功能影响的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/20620d370a16/LSA-2023-01971_FigS2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/eb86d0fb66b7/LSA-2023-01971_GA.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/d32a23e25344/LSA-2023-01971_FigS1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/4ad27253b40f/LSA-2023-01971_Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/20620d370a16/LSA-2023-01971_FigS2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/eb86d0fb66b7/LSA-2023-01971_GA.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/d32a23e25344/LSA-2023-01971_FigS1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/4ad27253b40f/LSA-2023-01971_Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63f7/10494938/20620d370a16/LSA-2023-01971_FigS2.jpg

相似文献

1
A targeted sequencing extension for transcript genotyping in single-cell transcriptomics.单细胞转录组学中转录基因分型的靶向测序扩展。
Life Sci Alliance. 2023 Sep 11;6(11). doi: 10.26508/lsa.202301971. Print 2023 Nov.
2
Exploring the transcriptome space of a recombinant BHK cell line through next generation sequencing.通过下一代测序技术探索重组 BHK 细胞系的转录组空间。
Biotechnol Bioeng. 2014 Apr;111(4):770-81. doi: 10.1002/bit.25135. Epub 2013 Nov 19.
3
Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.转录组学研究进展:以前所未有的分辨率研究心血管疾病。
Circ Res. 2018 Apr 27;122(9):1200-1220. doi: 10.1161/CIRCRESAHA.117.310910.
4
Transcriptome variation in human tissues revealed by long-read sequencing.长读测序揭示人类组织中的转录组变异。
Nature. 2022 Aug;608(7922):353-359. doi: 10.1038/s41586-022-05035-y. Epub 2022 Aug 3.
5
Gene-based single nucleotide polymorphism discovery in bovine muscle using next-generation transcriptomic sequencing.利用下一代转录组测序技术在牛肌肉中进行基于基因的单核苷酸多态性发现。
BMC Genomics. 2013 May 7;14:307. doi: 10.1186/1471-2164-14-307.
6
Integrated genome and transcriptome sequencing of the same cell.对同一细胞进行基因组和转录组的联合测序。
Nat Biotechnol. 2015 Mar;33(3):285-289. doi: 10.1038/nbt.3129. Epub 2015 Jan 19.
7
Transcriptome and genome sequencing uncovers functional variation in humans.转录组和基因组测序揭示了人类功能变异。
Nature. 2013 Sep 26;501(7468):506-11. doi: 10.1038/nature12531. Epub 2013 Sep 15.
8
Variant analysis pipeline for accurate detection of genomic variants from transcriptome sequencing data.从转录组测序数据中准确检测基因组变异的变异分析管道。
PLoS One. 2019 Sep 23;14(9):e0216838. doi: 10.1371/journal.pone.0216838. eCollection 2019.
9
Ornaments for efficient allele-specific expression estimation with bias correction.用于高效等位基因特异性表达估计的偏倚校正修饰。
Am J Hum Genet. 2024 Aug 8;111(8):1770-1781. doi: 10.1016/j.ajhg.2024.06.014. Epub 2024 Jul 23.
10
Long-read transcriptome sequencing reveals allele-specific variants at high resolution.长读转录组测序以高分辨率揭示等位基因特异性变体。
Trends Genet. 2023 Jan;39(1):31-33. doi: 10.1016/j.tig.2022.09.001. Epub 2022 Oct 4.

引用本文的文献

1
Genomic profiling in hidradenitis suppurativa: InterOmics pipeline for DNA-RNA sequencing highlights HLA variants, keratin-associated mutations and extracellular matrix alterations as contributing factors to HS pathogenesis.化脓性汗腺炎的基因组分析:用于DNA-RNA测序的跨组学流程突出显示HLA变异、角蛋白相关突变和细胞外基质改变是化脓性汗腺炎发病机制的促成因素。
PLoS One. 2025 Jun 20;20(6):e0326458. doi: 10.1371/journal.pone.0326458. eCollection 2025.
2
Splicing the Difference: Harnessing the Complexity of the Transcriptome in Hematopoiesis.拼接差异:利用造血过程中转录组的复杂性
Exp Hematol. 2024 Dec;140:104655. doi: 10.1016/j.exphem.2024.104655. Epub 2024 Oct 10.

本文引用的文献

1
A single-cell analysis framework allows for characterization of CSF leukocytes and their tissue of origin in multiple sclerosis.一个单细胞分析框架能够对多发性硬化症患者脑脊液中的白细胞及其来源组织进行特征描述。
Sci Transl Med. 2022 Nov 30;14(673):eadc9778. doi: 10.1126/scitranslmed.adc9778.
2
SCReadCounts: estimation of cell-level SNVs expression from scRNA-seq data.SCReadCounts:从 scRNA-seq 数据估算细胞水平 SNVs 表达。
BMC Genomics. 2021 Sep 22;22(1):689. doi: 10.1186/s12864-021-07974-8.
3
Integrated analysis of multimodal single-cell data.
多模态单细胞数据的综合分析。
Cell. 2021 Jun 24;184(13):3573-3587.e29. doi: 10.1016/j.cell.2021.04.048. Epub 2021 May 31.
4
Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering.通过超灵敏且经济的单细胞转录组过滤解析细胞系统。
iScience. 2021 Feb 5;24(3):102147. doi: 10.1016/j.isci.2021.102147. eCollection 2021 Mar 19.
5
Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome.在人类基因组中多个组织中鉴定和分析剪接数量性状基因座。
Nat Commun. 2021 Feb 1;12(1):727. doi: 10.1038/s41467-020-20578-2.
6
Single-cell RNA counting at allele and isoform resolution using Smart-seq3.基于 Smart-seq3 技术进行等位基因和异构体分辨率的单细胞 RNA 计数
Nat Biotechnol. 2020 Jun;38(6):708-714. doi: 10.1038/s41587-020-0497-0. Epub 2020 May 4.
7
Transcript specific regulation of expression influences susceptibility to multiple sclerosis.转录特异性调控表达影响多发性硬化症的易感性。
Eur J Hum Genet. 2020 Jun;28(6):826-834. doi: 10.1038/s41431-019-0569-0. Epub 2020 Jan 13.
8
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease.人类 T 细胞的单细胞转录组学揭示了健康和疾病中的组织和激活特征。
Nat Commun. 2019 Oct 17;10(1):4706. doi: 10.1038/s41467-019-12464-3.
9
Somatic mutations and cell identity linked by Genotyping of Transcriptomes.通过转录组的基因分型将体细胞突变与细胞身份联系起来。
Nature. 2019 Jul;571(7765):355-360. doi: 10.1038/s41586-019-1367-0. Epub 2019 Jul 3.
10
Not only cancer: the long non-coding RNA MALAT1 affects the repertoire of alternatively spliced transcripts and circular RNAs in multiple sclerosis.不仅是癌症:长链非编码 RNA MALAT1 影响多发性硬化症中可变剪接转录本和环状 RNA 的谱。
Hum Mol Genet. 2019 May 1;28(9):1414-1428. doi: 10.1093/hmg/ddy438.