• Title/Summary/Keyword: RNA processing

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5' Processing of RNA I in an Escherichia coli Strain Carrying the rnpA49 Mutation

  • Jung, Young-Hwan;Park, Jung-Won;Kim, Se-Mi;Cho, Bong-Rae;Lee, Young-Hoon
    • BMB Reports
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    • v.30 no.2
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    • pp.162-165
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    • 1997
  • RNA I. a negative controller of ColE1-type plasmid replication, is metabolized by several RNases in Escherichia coli. Two small derivatives of RNA I are accumulated at nonpermissive temperatures in an E. coli strain carrying the rnpA49 mutation, a thermosensitive mutation in the rnpA gene encoding the protein component of RNase P. A primer extension analysis was carried out to compare 5' processing of RNA I in the E. coli rnpA49 cells at both permissive and nonpermissive temperatures. Derivatives of RNA I having different 5' ends were observed in the cells grown at permissive and nonpermissive temperatures. Some of the derivatives may be generated by the cleavage of RNase P.

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미토콘드리아의 $tRNA^{Asp}$ 유전자의 한 돌연변이와 그의 억제 유전자들

  • 강영원
    • The Microorganisms and Industry
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    • v.17 no.1
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    • pp.19-24
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    • 1991
  • tRNA는 그 생화학적인 역할이 잘 알려져 있고 구조적으로 안정하며, 이용할 수 있는 분자 생물학적인 자료가 많아, 유전자 발현과 유전자 산물간의 조직적인 상호작용을 연구하는데 적합한 재료이다. 효모의 미토콘드리아에는 24개의 tRNA 유전자가 잇어, 단백질 합성에 필요한 tRNA를 자급하고 있으나, 유전자 발현과 processing에 관여하는 모든 정보가, tRNA의 5' 부위를 process하는데 관여하는 효소중 RNA subunit인 9S RNA를 산출하는 tsl 유전자를 제외하고, 핵 유전자에 존재한다. 효모의 대표적인 종인 Saccharomyces cerevisiae의 $tRNA^{Asp}$ 유전자에 결함이 생긴 한 돌연변이 균주의 성질을 조사하고, 억제현상(suppression)을 규명하므로써 tRNA의 구조적 특성을 파악하고, 나아가 미토콘드리아 생성에 관여하는 핵 유전자를 찾아보고자 한다.

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InSAC: A novel sub-nuclear body essential for Interleukin-6 and -10 RNA processing and stability

  • Lee, Sungwook;Park, Boyoun
    • BMB Reports
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    • v.48 no.5
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    • pp.239-240
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    • 2015
  • Dysregulation of cytokine expression causes inflammatory diseases or chronic infection conditions. We have identified that Tat-activating regulatory DNA-binding protein-43 (TDP-43) is involved in cytokine RNA processing in order to promote an optimal immune response. The interaction of TDP-43 with spliceosomal components from the Cajal body leads to the formation of a novel sub-nuclear body called the Interleukin (IL)-6 and IL-10 Splicing Activating Compartment (InSAC). TDP-43 binds to the IL-6 and IL-10 RNAs in a sequence-dependent manner. In cell-based studies, we observed that lipopoly-saccharide (LPS) stimulation induces the formation of the InSAC through TDP-43 ubiquitination, thereby influencing the processing and expression levels of IL-6 RNA. Moreover, TDP-43 knockdown in vivo results in a decrease in IL-6 production and its RNA splicing and stability. Thus, these findings demonstrate that the InSAC is linked to the activation and modulation of the immune response. [BMB Reports 2015; 48(5): 239-240]

An Improved algorithm for RNA secondary structure prediction based on dynamic programming algorithm (향상된 다이내믹 프로그래밍 기반 RNA 이차구조 예측)

  • Namsrai, Oyun-Erdene;Jung, Kwang-Su;Kim, Sun-Shin;Ryu, Keun-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.11a
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    • pp.15-18
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    • 2005
  • A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved prediction algorithm provides better levels of performance than the originals.

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Evolutionary Optimization of Models for Mature microRNA Prediction (Mature microRNA 위치 예측 모델의 진화적 최적화)

  • Kim Jin-Han;Nam Jin-Wu;Zhang Byoung-Tak
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06a
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    • pp.67-69
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    • 2006
  • MicroRNA (miRNA)는 생체내에서 gene regulation에 관여하는 핵심 small RNA 중 하나이다. miRNA는 Primary miRNA, Precursor miRNA, mature miRNA의 과정으로 processing 된다. miRNA 최종 형태인 mature miRNA의 정확한 위치 예측은 miRNA 예측의 필수적인 부분이다. 본 논문에서는, 진화적 최적화 예측 모델 중 하나인 유전 알고리즘을 이용하여 mature miRNA의 정확한 위치 예측을 수행한다. 제시된 방법은 이미 알려진 mature miRNA 위치를 positive example로 하고 임의로 생성한 위치를 negative example로 하여 서로의 linear scoring function 적합성 함수의 값 차이가 최대한으로 되도록 예측 모델을 진화시킨다. 유전 알고리즘을 이용한 진화적 최적화 모델로부터 mature miRNA 위치 예측에서 약 1.7nt 오차를 보여 기존의 방법 보다 개선된 성능을 보인다.

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A parallel SNP detection algorithm for RNA-Seq data (RNA 시퀀싱 데이터를 이용한 병렬 SNP 추출 알고리즘)

  • Kim, Deok-Keun;Lee, Deok-Hae;Kong, Jin-Hwa;Lee, Un-Joo;Yoon, Jee-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1260-1263
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    • 2011
  • 최근 차세대 시퀀싱 (Next Generation Sequencing, NGS) 기술이 발전하면서 DNA, RNA 등의 시퀀싱 데이터를 이용한 유전체 분석 방식에 관한 연구가 활발히 이루어지고 있다. 차세대 시퀀싱 데이터를 이용한 유전체 분석 방식은 마이크로어레이 혹은 EST/cDNA 데이터를 이용한 기존의 분석 방식에 비하여 비용이 적게 들고 정확한 결과를 얻을 수 있다는 장점이 있다. 그러나 이 들 DNA, RNA 시퀀싱 데이터는 각 시퀀스의 길이가 짧고 전체 용량은 매우 커서 이 들 데이터로부터 정확한 분석 결과를 추출하는 데에 많은 어려움이 있다. 본 연구에서는 클라우드 컴퓨팅 기술을 기반으로 하여 대용량의 RNA 시퀀싱 데이터를 고속으로 처리하는 병렬 SNP 추출 알고리즘을 제안한다. 전체 게놈 데이터 중 유전자 영역만을 high coverage로 시퀀싱하여 얻어지는 RNA 시퀀싱 데이터는 유전자 변이 추출을 목적으로 분석되며, SNP(Single Nucleotide Polymorphism)와 같은 유전자 변이는 질병의 원인 규명 및 치료법 개발에 직접 이용된다. 제안된 알고리즘은 동시에 실행되는 다수의 Map/Reduce 함수에 의해서 대규모 RNA 시퀀스를 병렬로 처리하며, 레퍼런스 시퀀스에 매핑된 각 염기의 출현 빈도와 품질점수를 이용하여 SNP를 추출한다. 또한 이 들 SNP 추출 결과에 대한 시각적 분석 도구를 제공하여 SNP 추출 과정 및 근거를 시각적으로 확인/검증할 수 있도록 지원한다.

Emerging Roles of RNA-Binding Proteins in Plant Growth, Development, and Stress Responses

  • Lee, Kwanuk;Kang, Hunseung
    • Molecules and Cells
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    • v.39 no.3
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    • pp.179-185
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    • 2016
  • Posttranscriptional regulation of RNA metabolism, including RNA processing, intron splicing, editing, RNA export, and decay, is increasingly regarded as an essential step for fine-tuning the regulation of gene expression in eukaryotes. RNA-binding proteins (RBPs) are central regulatory factors controlling posttranscriptional RNA metabolism during plant growth, development, and stress responses. Although functional roles of diverse RBPs in living organisms have been determined during the last decades, our understanding of the functional roles of RBPs in plants is lagging far behind our understanding of those in other organisms, including animals, bacteria, and viruses. However, recent functional analysis of multiple RBP family members involved in plant RNA metabolism and elucidation of the mechanistic roles of RBPs shed light on the cellular roles of diverse RBPs in growth, development, and stress responses of plants. In this review, we will discuss recent studies demonstrating the emerging roles of multiple RBP family members that play essential roles in RNA metabolism during plant growth, development, and stress responses.

Expression of a Small Protein Encoded by the 3' Flanking Sequence of the Escherichia coli rnpB Gene

  • Kim, Yool;Han, Kook;Lee, Jung-Min;Kim, Kwang-Sun;Lee, Young-Hoon
    • Bulletin of the Korean Chemical Society
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    • v.28 no.6
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    • pp.1010-1014
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    • 2007
  • M1 RNA is the catalytic component of RNase P, a tRNA-processing enzyme in Escherichia coli. M1 RNA is produced in the cell by transcription of the rnpB gene and subsequent processing at the 3' end. The 3' flanking region of rnpB contains repeated sets of overlapping sequences coding for small proteins. The issue of whether these proteins are expressed remains to be established. In this study, we showed the expression of a small protein encoded by the first repeat within the 3' flanking region of rnpB. Interestingly, protein expression was increased at lower temperatures. The termination efficiency of rnpB terminators was decreased at lower temperatures, suggesting that antitermination is responsible for enhanced protein expression. Moreover, the purified small protein contained M1 RNA, implying a role as a specific RNA-binding protein.

Sequential Polyadenylation to Enable Alternative mRNA 3' End Formation

  • Yajing Hao;Ting Cai;Chang Liu;Xuan Zhang;Xiang-Dong Fu
    • Molecules and Cells
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    • v.46 no.1
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    • pp.57-64
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    • 2023
  • In eukaryotic cells, a key RNA processing step to generate mature mRNA is the coupled reaction for cleavage and polyadenylation (CPA) at the 3' end of individual transcripts. Many transcripts are alternatively polyadenylated (APA) to produce mRNAs with different 3' ends that may either alter protein coding sequence (CDS-APA) or create different lengths of 3'UTR (tandem-APA). As the CPA reaction is intimately associated with transcriptional termination, it has been widely assumed that APA is regulated cotranscriptionally. Isoforms terminated at different regions may have distinct RNA stability under different conditions, thus altering the ratio of APA isoforms. Such differential impacts on different isoforms have been considered as post-transcriptional APA, but strictly speaking, this can only be considered "apparent" APA, as the choice is not made during the CPA reaction. Interestingly, a recent study reveals sequential APA as a new mechanism for post-transcriptional APA. This minireview will focus on this new mechanism to provide insights into various documented regulatory paradigms.

RNA Metabolism in T Lymphocytes

  • Jin Ouk Choi;Jeong Hyeon Ham;Soo Seok Hwang
    • IMMUNE NETWORK
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    • v.22 no.5
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    • pp.39.1-39.18
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    • 2022
  • RNA metabolism plays a central role in regulating of T cell-mediated immunity. RNA processing, modifications, and regulations of RNA decay influence the tight and rapid regulation of gene expression during T cell phase transition. Thymic selection, quiescence maintenance, activation, differentiation, and effector functions of T cells are dependent on selective RNA modulations. Recent technical improvements have unveiled the complex crosstalk between RNAs and T cells. Moreover, resting T cells contain large amounts of untranslated mRNAs, implying that the regulation of RNA metabolism might be a key step in controlling gene expression. Considering the immunological significance of T cells for disease treatment, an understanding of RNA metabolism in T cells could provide new directions in harnessing T cells for therapeutic implications.