Suppr超能文献

淋巴样V(D)J重组。重组信号内间隔序列的功能分析。

Lymphoid V(D)J recombination. Functional analysis of the spacer sequence within the recombination signal.

作者信息

Wei Z, Lieber M R

机构信息

Department of Pathology, Stanford University School of Medicine, California 94305-5324.

出版信息

J Biol Chem. 1993 Feb 15;268(5):3180-3.

PMID:8428995
Abstract

The V(D)J recombination reaction is directed by a pair of signal sequences, each consisting of a palindromic heptamer, an A/T-rich nonamer, and an intervening spacer sequence of 12 or 23 base pairs. The spacer sequence previously has not been analyzed for a functional role. In this study, numerous simultaneous sequence changes have been made in the spacer of each signal to test their functional importance. All of the AT base pairs in each signal were changed to GC base pairs. This particular change is of interest because it markedly increases the energy that would be required to melt out the two strands of each signal to permit the intersignal base pairing proposed in a commonly invoked model for signal-signal interaction in V(D)J recombination. We find that changing 6 to 12 AT base pairs in the 12-signal to GC does not affect V(D)J recombination, nor does changing 11 of 23 AT base pairs in the 23-signal. Substrates with all-GC spacer sequences in both the 12- and the 23-signal also recombine at efficiencies that are not significantly reduced. These studies demonstrate that the sequences at these particular positions are not recognized by the recombinase. In addition, the data do not support models invoking signal-signal base pairing.

摘要

V(D)J重组反应由一对信号序列引导,每个信号序列由一个回文七聚体、一个富含A/T的九聚体以及一个12或23个碱基对的间隔序列组成。此前尚未分析间隔序列的功能作用。在本研究中,对每个信号的间隔序列进行了大量同时发生的序列改变,以测试其功能重要性。每个信号中的所有AT碱基对都被改变为GC碱基对。这种特定的改变之所以令人感兴趣,是因为它显著增加了将每个信号的两条链解链以允许在V(D)J重组中常用的信号-信号相互作用模型中提出的信号间碱基配对所需的能量。我们发现,将12信号中的6到12个AT碱基对改变为GC不会影响V(D)J重组,将23信号中的23个AT碱基对中的11个改变为GC也不会影响。12信号和23信号中均具有全GC间隔序列的底物也能以未显著降低的效率进行重组。这些研究表明,重组酶不会识别这些特定位置的序列。此外,数据不支持调用信号-信号碱基配对的模型。

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验