文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.

作者信息

Otoničar Jan, Lazareva Olga, Mallm Jan-Philipp, Simovic-Lorenz Milena, Philippos George, Sant Pooja, Parekh Urja, Hammann Linda, Li Albert, Yildiz Umut, Marttinen Mikael, Zaugg Judith, Noh Kyung Min, Stegle Oliver, Ernst Aurélie

机构信息

Group Genome Instability in Tumors, German Cancer Research Center (DKFZ), Heidelberg, Germany.

German Cancer Consortium (DKTK), DKFZ, Core Center, Heidelberg, Germany.

出版信息

Genome Biol. 2024 Dec 18;25(1):316. doi: 10.1186/s13059-024-03450-0.


DOI:10.1186/s13059-024-03450-0
PMID:39696535
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11657747/
Abstract

Single-cell DNA sequencing (scDNA-seq) enables decoding somatic cancer variation. Existing methods are hampered by low throughput or cannot be combined with transcriptome sequencing in the same cell. We propose HIPSD&R-seq (HIgh-throughPut Single-cell Dna and Rna-seq), a scalable yet simple and accessible assay to profile low-coverage DNA and RNA in thousands of cells in parallel. Our approach builds on a modification of the 10X Genomics platform for scATAC and multiome profiling. In applications to human cell models and primary tissue, we demonstrate the feasibility to detect rare clones and we combine the assay with combinatorial indexing to profile over 17,000 cells.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/768e05c70a5b/13059_2024_3450_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/3fdd0f01d3ff/13059_2024_3450_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/204189f9b1f9/13059_2024_3450_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/768e05c70a5b/13059_2024_3450_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/3fdd0f01d3ff/13059_2024_3450_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/204189f9b1f9/13059_2024_3450_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8c4/11657747/768e05c70a5b/13059_2024_3450_Fig3_HTML.jpg

相似文献

[1]
HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.

Genome Biol. 2024-12-18

[2]
Combined Genome and Transcriptome (G&T) Sequencing of Single Cells.

Methods Mol Biol. 2019

[3]
Effective detection of variation in single-cell transcriptomes using MATQ-seq.

Nat Methods. 2017-1-16

[4]
Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq.

Nat Protoc. 2016-9-29

[5]
Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.

PLoS Comput Biol. 2019-11-4

[6]
Scalable co-sequencing of RNA and DNA from individual nuclei.

Nat Methods. 2025-3

[7]
SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.

Cell Syst. 2020-5-20

[8]
Full-Length Single-Cell RNA-Sequencing with FLASH-seq.

Methods Mol Biol. 2023

[9]
A Highly Scalable Method for Joint Whole-Genome Sequencing and Gene-Expression Profiling of Single Cells.

Mol Cell. 2020-11-5

[10]
Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.

Methods Mol Biol. 2020

引用本文的文献

[1]
Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing.

Nat Methods. 2025-9-1

本文引用的文献

[1]
Multi-omic and single-cell profiling of chromothriptic medulloblastoma reveals genomic and transcriptomic consequences of genome instability.

Nat Commun. 2024-11-23

[2]
epiAneufinder identifies copy number alterations from single-cell ATAC-seq data.

Nat Commun. 2023-9-20

[3]
Complex Analysis of Single-Cell RNA Sequencing Data.

Biochemistry (Mosc). 2023-2

[4]
Best practices for single-cell analysis across modalities.

Nat Rev Genet. 2023-8

[5]
SEACells infers transcriptional and epigenomic cellular states from single-cell genomics data.

Nat Biotechnol. 2023-12

[6]
scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors.

Sci Adv. 2023-1-4

[7]
Single-cell genomic variation induced by mutational processes in cancer.

Nature. 2022-12

[8]
Spatially resolved epigenomic profiling of single cells in complex tissues.

Cell. 2022-11-10

[9]
Haplotype-aware analysis of somatic copy number variations from single-cell transcriptomes.

Nat Biotechnol. 2023-3

[10]
ISSAAC-seq enables sensitive and flexible multimodal profiling of chromatin accessibility and gene expression in single cells.

Nat Methods. 2022-10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索