scholarly journals Small RNA Expression Profiling by High-Throughput Sequencing: Implications of Enzymatic Manipulation

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Fanglei Zhuang ◽  
Ryan T. Fuchs ◽  
G. Brett Robb
Keyword(s):  
High Throughput ◽  
Expression Profiling ◽  
Messenger Rna ◽  
High Throughput Sequencing ◽  
Biological Processes ◽  
Cellular Processes ◽  
Disease States ◽  
Powerful Approach ◽  
Sequencing Library ◽  
Rna Expression Profiling

Eukaryotic regulatory small RNAs (sRNAs) play significant roles in many fundamental cellular processes. As such, they have emerged as useful biomarkers for diseases and cell differentiation states. sRNA-based biomarkers outperform traditional messenger RNA-based biomarkers by testing fewer targets with greater accuracy and providing earlier detection for disease states. Therefore, expression profiling of sRNAs is fundamentally important to further advance the understanding of biological processes, as well as diagnosis and treatment of diseases. High-throughput sequencing (HTS) is a powerful approach for both sRNA discovery and expression profiling. Here, we discuss the general considerations for sRNA-based HTS profiling methods from RNA preparation to sequencing library construction, with a focus on the causes of systematic error. By examining the enzymatic manipulation steps of sRNA expression profiling, this paper aims to demystify current HTS-based sRNA profiling approaches and to aid researchers in the informed design and interpretation of profiling experiments.

scholarly journals Functional implications of microRNAs in acute myeloid leukemia by integrating microRNA and messenger RNA expression profiling

Cancer ◽  
2011 ◽  
Vol 117 (20) ◽  
pp. 4696-4706 ◽  
Author(s):  
Violaine Havelange ◽  
Nicole Stauffer ◽  
Catherine C. E. Heaphy ◽  
Stefano Volinia ◽  
Michael Andreeff ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Expression Profiling ◽  
Messenger Rna ◽  
Myeloid Leukemia ◽  
Rna Expression ◽  
Functional Implications ◽  
Rna Expression Profiling ◽  
Acute Myeloid

scholarly journals Relative messenger RNA expression profiling of collagenases and aggrecanases in human articular chondrocytes in vivo and in vitro

2002 ◽  
Vol 46 (10) ◽  
pp. 2648-2657 ◽  
Author(s):  
Brigitte Bau ◽  
Pia M. Gebhard ◽  
Jochen Haag ◽  
Thomas Knorr ◽  
Eckart Bartnik ◽  
...  
Keyword(s):  
Expression Profiling ◽  
Messenger Rna ◽  
Articular Chondrocytes ◽  
Human Articular Chondrocytes ◽  
Rna Expression ◽  
Rna Expression Profiling

scholarly journals PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Juan Xie ◽  
Jinfang Zheng ◽  
Xu Hong ◽  
Xiaoxue Tong ◽  
Shiyong Liu
Keyword(s):  
Full Advantage ◽  
High Throughput ◽  
Binding Sites ◽  
High Throughput Sequencing ◽  
Secondary Structures ◽  
Biological Processes ◽  
Genome Wide ◽  
Rna Interaction ◽  
Rna Complexes ◽  
Better Than

AbstractProtein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lacking RNA 3D structures. To take full advantage of RNA secondary structures revealed from high-throughput sequencing, we present PRIME-3D2D to predict binding sites of protein–RNA interaction. PRIME-3D2D is almost as good as PRIME at modeling protein–RNA complexes. PRIME-3D2D can be used to predict binding sites on PDB data (MCC = 0.75/0.70 for binding sites in protein/RNA) and transcription-wide (MCC = 0.285 for binding sites in RNA). Testing on PDB and yeast transcription-wide data show that PRIME-3D2D performs better than other binding sites predictor. So, PRIME-3D2D can be used to predict the binding sites both on PDB and genome-wide, and it’s freely available.

scholarly journals DNA extraction and sequencing of the Mawangdui ancient cadaver protected by formalin

2020 ◽  
Author(s):  
Hua-Lin Huang ◽  
Shikui Yin ◽  
Huifang Zhao ◽  
Chao Tian ◽  
Jufang Huang ◽  
...  
Keyword(s):  
Dna Extraction ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Pcr Amplification ◽  
Magnetic Bead ◽  
Sequencing Data ◽  
Sequencing Library ◽  
Bead Method ◽  
Formalin Fixed ◽  
Better Than

AbstractMawangdui ancient Cadaver is the first wet corpse found in the world, which is famous for being immortal for over two thousands of years. After being unearthed, the female corpse was immersed in the formalin protective solution for more than 40 years. We used magnetic bead method and formalin fixed paraffing (FFPE) method to extract the DNA of the female corpse, respectively. PCR amplification, sanger sequencing, library building, high throughput sequencing (testing) and data processing were carried out on the DNA samples, and about 0.5% of the whole genome coverage sequencing data was obtained. Comparing the results of DNA trough two extraction and sequencing methods. We found that the FFPE and high throughput sequencing methods is better than others for DNA extraction of the ancient samples which were preserved in formalin, providing a guidance for dealing with formalin preserved ancient samples in the future.

scholarly journals Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite

2019 ◽  
Vol 36 (7) ◽  
pp. 2033-2039 ◽  
Author(s):  
Junfeng Liu ◽  
Ziyang An ◽  
Jianjun Luo ◽  
Jing Li ◽  
Feifei Li ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Quantitative Estimation ◽  
Supplementary Information ◽  
Biological Processes ◽  
Single Nucleotide ◽  
Rna Immunoprecipitation ◽  
Nucleotide Resolution ◽  
Human And Mouse ◽  
Single Nucleotide Resolution

Abstract Motivation RNA 5-methylcytosine (m5C) is a type of post-transcriptional modification that may be involved in numerous biological processes and tumorigenesis. RNA m5C can be profiled at single-nucleotide resolution by high-throughput sequencing of RNA treated with bisulfite (RNA-BisSeq). However, the exploration of transcriptome-wide profile and potential function of m5C in splicing remains to be elucidated due to lack of isoform level m5C quantification tool. Results We developed a computational package to quantify Epitranscriptomal RNA m5C at the transcript isoform level (named Episo). Episo consists of three tools: mapper, quant and Bisulfitefq, for mapping, quantifying and simulating RNA-BisSeq data, respectively. The high accuracy of Episo was validated using an improved m5C-specific methylated RNA immunoprecipitation (meRIP) protocol, as well as a set of in silico experiments. By applying Episo to public human and mouse RNA-BisSeq data, we found that the RNA m5C is not evenly distributed among the transcript isoforms, implying the m5C may subject to be regulated at isoform level. Availability and implementation Episo is released under the GNU GPLv3+ license. The resource code Episo is freely accessible from https://github.com/liujunfengtop/Episo (with Tophat/cufflink) and https://github.com/liujunfengtop/Episo/tree/master/Episo_Kallisto (with Kallisto). Supplementary information Supplementary data are available at Bioinformatics online.

Exosomal hsa-miR-129-2 and hsa-miR-889 from a 6-microRNA signature might be a potential biomarker for predicting prognosis of papillary thyroid carcinoma

2021 ◽  
Vol 24 ◽  
Author(s):  
Ying Xin ◽  
Kexin Meng ◽  
Haiwei Guo ◽  
Bin Chen ◽  
Chuanming Zheng ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
High Throughput ◽  
Messenger Rna ◽  
High Throughput Sequencing ◽  
The Cancer Genome Atlas ◽  
Papillary Thyroid ◽  
Control Groups ◽  
Potential Biomarker ◽  
And Control

Background: Papillary thyroid carcinoma (PTC) is a subtype of thyroid cancer with increasing incidence over time. Objective: This study aimed to build a risk score (RS) system for PTC patients. Methods: PTC microRNA (miRNA) and messenger RNA (mRNA) expression data were extracted from The Cancer Genome Atlas (TCGA) database. The 491 PTC samples were randomly divided into training and validation sets. Using the limma software package, differentially expressed mRNAs (DEGs) and miRNAs (DEMs) between the tumor and control groups were screened. In order to construct an RS system, a survival package was used to select independent miRNAs related to prognosis. Enrichment analysis was performed, and a miRNA-mRNA co-expression network was constructed. High-throughput sequencing was also used to verify the prognostic miRNAs in exosomes. Results: We found 1363 DEGs and 171 DEMs between the tumor and control groups. After identifying 26 DEMs that were significantly related to prognosis, 6 independent prognosis-associated miRNAs were selected to build an RS system. The areas under the curves of the overall survival rates of the training, validation, and entire sets were 0.847, 0.772, and 0.819, respectively. By conducting pathway analysis using the miRNA-mRNA co-expression network, one overlapping factor and five overlapping pathways were obtained. In addition, high-throughput sequencing revealed that the hsa-miR-129-2, hsa-miR-548j, hsa-miR-6734, and hsa-miR-889 expression levels in TCGA tumor tissues and exosomes were consistent, and those of hsa-miR-129-2 and hsa-miR-889 between patients and controls were significantly different in exosomes. Conclusion: The six-miRNA RS system in exosomes may comprise independent signatures for predicting PTC patient prognosis.

scholarly journals Non-micro-short RNAs: the new kids on the block

2012 ◽  
Vol 23 (24) ◽  
pp. 4664-4667 ◽  
Author(s):  
Bijan K. Dey ◽  
Adam C. Mueller ◽  
Anindya Dutta
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Noncoding Rnas ◽  
Mechanisms Of Action ◽  
Biological Processes ◽  
Large Group ◽  
Small Noncoding Rnas ◽  
Short Rnas ◽  
Functional Classes ◽  
Functional Relevance

The advent of ultra–high-throughput sequencing has led to the discovery of a large group of small, noncoding RNAs that are not microRNAs. The functional relevance of microRNAs has been well established over the last decade. In this Perspective, we focus on the non-micro-short RNAs that comprise a variety of functional classes and range from 16–40 nucleotides in size. We will highlight how some of these non-micro-short RNAs were discovered, as well as their biogenesis, potential mechanisms of action, and role in diverse biological processes, development, and disease. Finally, we will describe what must be done to further our understanding of these enigmatic molecules.

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