从单词到完整短语:利用长短读数深入了解单细胞同工酶。

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Transcription-Austin Pub Date : 2023-06-01 Epub Date: 2023-06-14 DOI:10.1080/21541264.2023.2213514
Anoushka Joglekar, Careen Foord, Julien Jarroux, Shaun Pollard, Hagen U Tilgner
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引用次数: 0

摘要

在过去几年中,通过分析基因表达模式从单个细胞中获取生物学信息已成为一种普遍做法。然而,这种方法忽略了单个细胞和细胞群之间可能存在差异的转录本内容。在这篇综述中,我们将介绍单细胞短线程测序以及单细胞全长异构体领域的早期工作。然后,我们介绍了单细胞长读程测序的最新工作,其中观察到一些转录本元素串联工作。基于早期在大块组织中的工作,我们提出了研究其他 RNA 变量组合模式的动机。鉴于我们对同工酶生物学的某些方面仍然一无所知,我们提出了未来可能的途径,如 CRISPR 筛选,它可以进一步阐明 RNA 变量在不同细胞群中的功能。
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From words to complete phrases: insight into single-cell isoforms using short and long reads.

The profiling of gene expression patterns to glean biological insights from single cells has become commonplace over the last few years. However, this approach overlooks the transcript contents that can differ between individual cells and cell populations. In this review, we describe early work in the field of single-cell short-read sequencing as well as full-length isoforms from single cells. We then describe recent work in single-cell long-read sequencing wherein some transcript elements have been observed to work in tandem. Based on earlier work in bulk tissue, we motivate the study of combination patterns of other RNA variables. Given that we are still blind to some aspects of isoform biology, we suggest possible future avenues such as CRISPR screens which can further illuminate the function of RNA variables in distinct cell populations.

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来源期刊
Transcription-Austin
Transcription-Austin BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
6.50
自引率
5.60%
发文量
9
期刊最新文献
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