1.Study of the RNA secondary structure prediction.
Ying SUN ; Hongwei LU ; Jianbin GUI ; Xuekun SONG
Journal of Biomedical Engineering 2014;31(5):1065-1069
This paper proposes algorithm in predicting the RNA secondary structure that combines several sequence comparisons, searches the eigenvalue for subsequence division with dynamic programing, utilizing the minimum free energy method. Moreover, the paper assesses the results derived from this new algorithm based on base-pairs distance, climbing distance and morphology distance. The paper also compares the assessment result and the prediction results of different prediction tools, and analyzes the advantages of the new method and its improvement direction.
Algorithms
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Nucleic Acid Conformation
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RNA
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chemistry
2.An intriguing RNA species--perspectives of circularized RNA.
Ting SHEN ; Miao HAN ; Gang WEI ; Ting NI
Protein & Cell 2015;6(12):871-880
Circular RNAs (circRNAs), a kind of covalently closed RNA molecule, were used to be considered a type of by-products of mis-splicing events and were discovered sporadically due to the technological limits in the early years. With the great technological progress such as high-throughput next-generation sequencing, numerous circRNAs have recently been detected in many species. CircRNAs were expressed in a spatio-temporally specific manner, suggesting their regulatory functional potentials were overlooked previously. Intriguingly, some circRNAs were indeed found with critical physiological functions in certain circumstances. CircRNAs have a more stable molecular structure that can resist to exoribonuclease comparing to those linear ones, and their molecular functions include microRNA sponge, regulatory roles in transcription, mRNA traps that compete with linear splicing, templates for translation and possibly other presently unknown roles. Here, we review the discovery and characterization of circRNAs, the origination and formation mechanism, the physiological functions and the molecular roles, along with the methods for detection of circRNAs. We further look into the future and propose key questions to be answered for these magical RNA molecules.
Animals
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Humans
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RNA
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biosynthesis
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chemistry
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metabolism
3.The effect of the split of sperm nuclei on the yield of human sperm RNA.
Hong-gang LI ; Xiao-fang DING ; Cheng-liang XIONG
Chinese Journal of Medical Genetics 2008;25(4):465-468
OBJECTIVETo study the effect of the split of sperm nuclei on the yield of RNA from human sperm.
METHODSHuman sperm were purified by two sequential centrifugations through 40:80 discontinuous gradients of Percoll. Human leukocytes separated from peripheral blood were used as the control. Total RNAs from purified sperm and leukocytes were extracted with both TRIzol and RNeasy Kit. The RNAs from equal number of cells were reverse-transcribed, and quantified by the levels of beta-ACTIN mRNA, which were evaluated by real time polymerase chain reaction.
RESULTSTRIzol failed to digest majority of sperm nuclei even the incubation time was prolonged to 1 h, while no sperm nucleus was found under the light microscope after 1 min digestion with RLT buffer of the RNeasy Kit. Both reagents can digest the nuclei of human leukocytes well. The amount of RNA per 10(6) sperms isolated with RNeasy Kit (149.8+/-24.5 ng) was 4-fold higher (P=0.01) than that extracted with TRIzol (35.5+/-4.0 ng per 10(6) spermatozoa; n=3). The similar yields of the leukocyte RNAs extracted with RNeasy Kit and TRIzol [(765.5+/-229.8) and (958.8+/-201.0) ng per 10(6) cells respectively; n=3, P=0.168] excluded the possibility of different efficacy of these two reagents in RNA isolation.
CONCLUSIONThe split of sperm nuclei is important to the yield of RNA in the human sperm RNA extraction. The nucleus may be the major area for human sperm RNA repositories.
Cell Nucleus ; chemistry ; Humans ; Male ; Polymerase Chain Reaction ; RNA ; analysis ; RNA, Messenger ; analysis ; Spermatozoa ; chemistry
4.SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA- and tRNA-derived Small RNAs.
Junchao SHI ; Eun-A KO ; Kenton M SANDERS ; Qi CHEN ; Tong ZHOU
Genomics, Proteomics & Bioinformatics 2018;16(2):144-151
High-throughput RNA-seq has revolutionized the process of small RNA (sRNA) discovery, leading to a rapid expansion of sRNA categories. In addition to the previously well-characterized sRNAs such as microRNAs (miRNAs), piwi-interacting RNAs (piRNAs), and small nucleolar RNA (snoRNAs), recent emerging studies have spotlighted on tRNA-derived sRNAs (tsRNAs) and rRNA-derived sRNAs (rsRNAs) as new categories of sRNAs that bear versatile functions. Since existing software and pipelines for sRNA annotation are mostly focused on analyzing miRNAs or piRNAs, here we developed the sRNA annotation pipelineoptimized for rRNA- and tRNA-derived sRNAs (SPORTS1.0). SPORTS1.0 is optimized for analyzing tsRNAs and rsRNAs from sRNA-seq data, in addition to its capacity to annotate canonical sRNAs such as miRNAs and piRNAs. Moreover, SPORTS1.0 can predict potential RNA modification sites based on nucleotide mismatches within sRNAs. SPORTS1.0 is precompiled to annotate sRNAs for a wide range of 68 species across bacteria, yeast, plant, and animal kingdoms, while additional species for analyses could be readily expanded upon end users' input. For demonstration, by analyzing sRNA datasets using SPORTS1.0, we reveal that distinct signatures are present in tsRNAs and rsRNAs from different mouse cell types. We also find that compared to other sRNA species, tsRNAs bear the highest mismatch rate, which is consistent with their highly modified nature. SPORTS1.0 is an open-source software and can be publically accessed at https://github.com/junchaoshi/sports1.0.
Animals
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Gene Expression Profiling
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High-Throughput Nucleotide Sequencing
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Mice
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MicroRNAs
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chemistry
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metabolism
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Molecular Sequence Annotation
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RNA, Ribosomal
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chemistry
;
metabolism
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RNA, Small Interfering
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chemistry
;
metabolism
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RNA, Small Untranslated
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chemistry
;
metabolism
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RNA, Transfer
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chemistry
;
metabolism
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Sequence Analysis, RNA
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methods
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Software
5.Structural Insights into N-methyladenosine (mA) Modification in the Transcriptome.
Genomics, Proteomics & Bioinformatics 2018;16(2):85-98
More than 100 types of chemical modifications in RNA have been well documented. Recently, several modifications, such as N-methyladenosine (mA), have been detected in mRNA, opening the window into the realm of epitranscriptomics. The mA modification is the most abundant modification in mRNA and non-coding RNA (ncRNA). At the molecular level, mA affects almost all aspects of mRNA metabolism, including splicing, translation, and stability, as well as microRNA (miRNA) maturation, playing essential roles in a range of cellular processes. The mA modification is regulated by three classes of proteins generally referred to as the "writer" (adenosine methyltransferase), "eraser" (mA demethylating enzyme), and "reader" (mA-binding protein). The mA modification is reversibly installed and removed by writers and erasers, respectively. Readers, which are members of the YT521-B homology (YTH) family proteins, selectively bind to RNA and affect its fate in an mA-dependent manner. In this review, we summarize the structures of the functional proteins that modulate the mA modification, and provide our insights into the mA-mediated gene regulation.
Adenosine
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analogs & derivatives
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metabolism
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Animals
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Gene Expression Regulation
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Humans
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Methyltransferases
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chemistry
;
metabolism
;
RNA, Messenger
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chemistry
;
metabolism
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RNA, Untranslated
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chemistry
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metabolism
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RNA-Binding Proteins
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chemistry
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metabolism
;
Transcriptome
6.Structural basis of Zika virus helicase in recognizing its substrates.
Hongliang TIAN ; Xiaoyun JI ; Xiaoyun YANG ; Zhongxin ZHANG ; Zuokun LU ; Kailin YANG ; Cheng CHEN ; Qi ZHAO ; Heng CHI ; Zhongyu MU ; Wei XIE ; Zefang WANG ; Huiqiang LOU ; Haitao YANG ; Zihe RAO
Protein & Cell 2016;7(8):562-570
The recent explosive outbreak of Zika virus (ZIKV) infection has been reported in South and Central America and the Caribbean. Neonatal microcephaly associated with ZIKV infection has already caused a public health emergency of international concern. No specific vaccines or drugs are currently available to treat ZIKV infection. The ZIKV helicase, which plays a pivotal role in viral RNA replication, is an attractive target for therapy. We determined the crystal structures of ZIKV helicase-ATP-Mn(2+) and ZIKV helicase-RNA. This is the first structure of any flavivirus helicase bound to ATP. Comparisons with related flavivirus helicases have shown that although the critical P-loop in the active site has variable conformations among different species, it adopts an identical mode to recognize ATP/Mn(2+). The structure of ZIKV helicase-RNA has revealed that upon RNA binding, rotations of the motor domains can cause significant conformational changes. Strikingly, although ZIKV and dengue virus (DENV) apo-helicases share conserved residues for RNA binding, their different manners of motor domain rotations result in distinct individual modes for RNA recognition. It suggests that flavivirus helicases could have evolved a conserved engine to convert chemical energy from nucleoside triphosphate to mechanical energy for RNA unwinding, but different motor domain rotations result in variable RNA recognition modes to adapt to individual viral replication.
Crystallography, X-Ray
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Protein Domains
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RNA Helicases
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chemistry
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RNA, Viral
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chemistry
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Viral Proteins
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chemistry
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Zika Virus
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enzymology
7.Reversible RNA Modification N-methyladenosine (mA) in mRNA and tRNA.
Genomics, Proteomics & Bioinformatics 2018;16(3):155-161
More than 100 modifications have been found in RNA. Analogous to epigenetic DNA methylation, epitranscriptomic modifications can be written, read, and erased by a complex network of proteins. Apart from N-methyladenosine (mA), N-methyladenosine (mA) has been found as a reversible modification in tRNA and mRNA. mA occurs at positions 9, 14, and 58 of tRNA, with mA58 being critical for tRNA stability. Other than the hundreds of mA sites in mRNA and long non-coding RNA transcripts, transcriptome-wide mapping of mA also identifies >20 mA sites in mitochondrial genes. mA in the coding region of mitochondrial transcripts can inhibit the translation of the corresponding proteins. In this review, we summarize the current understanding of mA in mRNA and tRNA, covering high-throughput sequencing methods developed for mA methylome, mA-related enzymes (writers and erasers), as well as its functions in mRNA and tRNA.
Adenosine
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analogs & derivatives
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chemistry
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DNA Methylation
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Epigenomics
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Gene Expression Regulation
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Humans
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RNA, Messenger
;
chemistry
;
RNA, Transfer
;
chemistry
8.YTH Domain: A Family of N-methyladenosine (mA) Readers.
Shanhui LIAO ; Hongbin SUN ; Chao XU
Genomics, Proteomics & Bioinformatics 2018;16(2):99-107
Like protein and DNA, different types of RNA molecules undergo various modifications. Accumulating evidence suggests that these RNA modifications serve as sophisticated codes to mediate RNA behaviors and many important biological functions. N-methyladenosine (mA) is the most abundant internal RNA modification found in a variety of eukaryotic RNAs, including but not limited to mRNAs, tRNAs, rRNAs, and long non-coding RNAs (lncRNAs). In mammalian cells, mA can be incorporated by a methyltransferase complex and removed by demethylases, which ensures that the mA modification is reversible and dynamic. Moreover, mA is recognized by the YT521-B homology (YTH) domain-containing proteins, which subsequently direct different complexes to regulate RNA signaling pathways, such as RNA metabolism, RNA splicing, RNA folding, and protein translation. Herein, we summarize the recent progresses made in understanding the molecular mechanisms underlying the mA recognition by YTH domain-containing proteins, which would shed new light on mA-specific recognition and provide clues to the future identification of reader proteins of many other RNA modifications.
Adenosine
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analogs & derivatives
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chemistry
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metabolism
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Animals
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Humans
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Protein Binding
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Protein Domains
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RNA
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chemistry
;
metabolism
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RNA-Binding Proteins
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chemistry
;
metabolism
9.Application and Prospect of RNA Profiling Analysis in Forensic Body Fluid Identification.
Shou-Yu WANG ; Rui-Yang TAO ; Yi-Ping HOU ; Cheng-Tao LI
Journal of Forensic Medicine 2022;38(6):763-773
In forensic physical evidence identification, the accurate identification of the individual origin and their body fluid composition of the biological samples obtained from the crime scene play a critical role in determining the nature of a crime. In recent years, RNA profiling has become one of the fastest developing methods for body fluids identification. Due to the characteristics of tissue or body fluid specific expression, various types of RNA markers have been proven to be promising candidate markers for body fluids identification in previous studies. This review summarizes the research progress of RNA markers in body fluids identification, including the RNA markers that have been effectively verified in current research and their advantages and disadvantages. Meanwhile, this review prospects the application of RNA markers in forensic medicine.
Forensic Medicine/methods*
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Body Fluids/chemistry*
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RNA/analysis*
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Feces
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Forensic Genetics
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Semen/chemistry*
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Saliva/chemistry*
10.A versatile building block: the structures and functions of negative-sense single-stranded RNA virus nucleocapsid proteins.
Yuna SUN ; Yu GUO ; Zhiyong LOU
Protein & Cell 2012;3(12):893-902
Nucleocapsid protein (NPs) of negative-sense single-stranded RNA (-ssRNA) viruses function in different stages of viral replication, transcription, and maturation. Structural investigations show that -ssRNA viruses that encode NPs preliminarily serve as structural building blocks that encapsidate and protect the viral genomic RNA and mediate the interaction between genomic RNA and RNA-dependent RNA polymerase. However, recent structural results have revealed other biological functions of -ssRNA viruses that extend our understanding of the versatile roles of virally encoded NPs.
Animals
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Capsid
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metabolism
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Humans
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Lassa virus
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chemistry
;
physiology
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Nucleocapsid Proteins
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chemistry
;
metabolism
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Orthobunyavirus
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chemistry
;
physiology
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RNA Viruses
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chemistry
;
physiology