scholarly journals A genome-wide identification, characterization and functional analysis of salt-related long non-coding RNAs in non-model plant Pistacia vera L. using transcriptome high throughput sequencing

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Masoomeh Jannesar ◽  
Seyed Mahdi Seyedi ◽  
Maryam Moazzam Jazi ◽  
Vahid Niknam ◽  
Hassan Ebrahimzadeh ◽  
...  
Keyword(s):  
Functional Analysis ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Pistacia Vera ◽  
Model Plant ◽  
Genome Wide ◽  
A Genome ◽  
Non Coding Rnas

Whole human exome capture for high-throughput sequencing

Genome ◽  
2010 ◽  
Vol 53 (7) ◽  
pp. 568-574 ◽  
Author(s):  
Dae-Won Kim ◽  
Seong-Hyeuk Nam ◽  
Ryong Nam Kim ◽  
Sang-Haeng Choi ◽  
Hong-Seog Park
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Exome Capture ◽  
Microarray Design ◽  
Genome Wide ◽  
Human Genes ◽  
Practical Usefulness ◽  
A Genome ◽  
Wide Scale ◽  
Total Base

We captured the whole human exome by hybridization using synthesized oligonucleotides, based on a high-density microarray design, and we sequenced those captured human exons using high-throughput sequencing on a Genome Sequencer FLX instrument. Of the uniquely mapped reads, 71% fell within target regions, and these corresponded to coverage of 94% of human genes, 87% of exons, and 70% of the total base-pair length of the CCDS set. Our study provides strong evidence for the practical usefulness of this method on a genome-wide scale, showing the resequenced whole human exome database with 501 microRNAs and 307 novel SNPs.

scholarly journals Identification and characterization of salt-tolerance relative miRNAs in Procambarus clarkii by high-throughput sequencing

ExRNA ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fangfang Jin ◽  
Yuling Sun
Keyword(s):  
Salt Tolerance ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Procambarus Clarkii ◽  
Economic Losses ◽  
Srna Library ◽  
Genome Wide ◽  
A Genome

Abstract Procambarus clarkii is one of the important economic species in China and has been served as tasty food in recent years after being introduced to Nanjing. Significant problems of environment factors, such as salinity, pH and temperature, especially salinity, has the potential to result in significant economic losses in many crayfish-producing farms in China. miRNAs are a kind of ~ 22 nucleotide small non coding RNAs which were encoded by plants, animals and some viruses with functions in RNA silencing or post-transcription regulation. We constructed four sRNA library of P. clarkia from different tissues and treatments by using high-throughput sequencing technology. A total of 101 conserved miRNAs and two novel pre-miRNAs were identified and RT-qPCR were further performed to confirm existence of part of identified miRNAs. A genome wide expression profile of salt-tolerance miRNAs was proved and three miRNAs were further validated by RT-qPCR with dynamic response to different salinity stages. The study of miRNAs in P. clarkia can help us better understanding the role of miRNAs in salt-tolerance in P. clarkia.

Computational methods for annotation of plant regulatory non-coding RNAs using RNA-seq

2020 ◽  
Author(s):  
A T Vivek ◽  
Shailesh Kumar
Keyword(s):  
Computational Methods ◽  
High Throughput ◽  
Rna Seq ◽  
Physiological Mechanisms ◽  
Software Packages ◽  
Genome Wide ◽  
A Genome ◽  
Wide Scale ◽  
Plant Transcriptome ◽  
Non Coding Rnas

Abstract Plant transcriptome encompasses numerous endogenous, regulatory non-coding RNAs (ncRNAs) that play a major biological role in regulating key physiological mechanisms. While studies have shown that ncRNAs are extremely diverse and ubiquitous, the functions of the vast majority of ncRNAs are still unknown. With ever-increasing ncRNAs under study, it is essential to identify, categorize and annotate these ncRNAs on a genome-wide scale. The use of high-throughput RNA sequencing (RNA-seq) technologies provides a broader picture of the non-coding component of transcriptome, enabling the comprehensive identification and annotation of all major ncRNAs across samples. However, the detection of known and emerging class of ncRNAs from RNA-seq data demands complex computational methods owing to their unique as well as similar characteristics. Here, we discuss major plant endogenous, regulatory ncRNAs in an RNA sample followed by computational strategies applied to discover each class of ncRNAs using RNA-seq. We also provide a collection of relevant software packages and databases to present a comprehensive bioinformatics toolbox for plant ncRNA researchers. We assume that the discussions in this review will provide a rationale for the discovery of all major categories of plant ncRNAs.

Genome-Wide Identification and Functional Analysis of Long Non-coding RNAs in Sesame Response to Salt Stress

2021 ◽  
Author(s):  
Huihui Gong ◽  
Jun You ◽  
Xiurong Zhang ◽  
Yanzhong Liu ◽  
Fengtao Zhao ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Salt Stress ◽  
Genome Wide ◽  
Non Coding Rnas

scholarly journals Genome-wide identification and characterization of long non-coding RNAs involved in flag leaf senescence of rice

2021 ◽  
Author(s):  
Xiaoping Huang ◽  
Hongyu Zhang ◽  
Qiang Wang ◽  
Rong Guo ◽  
Lingxia Wei ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Leaf Senescence ◽  
Flag Leaf ◽  
Reduction Process ◽  
Sequencing Analysis ◽  
Biological Processes ◽  
Genome Wide ◽  
A Genome ◽  
Non Coding Rnas ◽  
Systematic Identification

Abstract Key message This study showed the systematic identification of long non-coding RNAs (lncRNAs) involving in flag leaf senescence of rice, providing the possible lncRNA-mRNA regulatory relationships and lncRNA-miRNA-mRNA ceRNA networks during leaf senescence. Abstract LncRNAs have been reported to play crucial roles in diverse biological processes. However, no systematic identification of lncRNAs associated with leaf senescence in plants has been studied. In this study, a genome-wide high throughput sequencing analysis was performed using rice flag leaves developing from normal to senescence. A total of 3953 lncRNAs and 38757 mRNAs were identified, of which 343 lncRNAs and 9412 mRNAs were differentially expressed. Through weighted gene co-expression network analysis (WGCNA), 22 continuously down-expressed lncRNAs targeting 812 co-expressed mRNAs and 48 continuously up-expressed lncRNAs targeting 1209 co-expressed mRNAs were considered to be significantly associated with flag leaf senescence. Gene Ontology results suggested that the senescence-associated lncRNAs targeted mRNAs involving in many biological processes, including transcription, hormone response, oxidation–reduction process and substance metabolism. Additionally, 43 senescence-associated lncRNAs were predicted to target 111 co-expressed transcription factors. Interestingly, 8 down-expressed lncRNAs and 29 up-expressed lncRNAs were found to separately target 12 and 20 well-studied senescence-associated genes (SAGs). Furthermore, analysis on the competing endogenous RNA (CeRNA) network revealed that 6 down-expressed lncRNAs possibly regulated 51 co-expressed mRNAs through 15 miRNAs, and 14 up-expressed lncRNAs possibly regulated 117 co-expressed mRNAs through 21 miRNAs. Importantly, by expression validation, a conserved miR164-NAC regulatory pathway was found to be possibly involved in leaf senescence, where lncRNA MSTRG.62092.1 may serve as a ceRNA binding with miR164a and miR164e to regulate three transcription factors. And two key lncRNAs MSTRG.31014.21 and MSTRG.31014.36 also could regulate the abscisic-acid biosynthetic gene BGIOSGA025169 (OsNCED4) and BGIOSGA016313 (NAC family) through osa-miR5809. The possible regulation networks of lncRNAs involving in leaf senescence were discussed, and several candidate lncRNAs were recommended for prior transgenic analysis. These findings will extend the understanding on the regulatory roles of lncRNAs in leaf senescence, and lay a foundation for functional research on candidate lncRNAs.

scholarly journals A genome-wide screen in the mouse liver reveals sex-specific and cell non-autonomous regulation of cell fitness

2021 ◽  
Author(s):  
Heather R. Keys ◽  
Kristin A. Knouse
Keyword(s):  
Functional Genomics ◽  
High Throughput ◽  
Mouse Liver ◽  
Ex Vivo ◽  
Screening Method ◽  
Living Organism ◽  
Cellular Processes ◽  
Autonomous Regulation ◽  
Genome Wide ◽  
A Genome

ABSTRACTOur ability to understand and modulate mammalian physiology and disease requires knowing how all genes contribute to any given phenotype in the organism. Genome-wide screening using CRISPR-Cas9 has emerged as a powerful method for the genetic dissection of cellular processes1,2, but the need to stably deliver single guide RNAs to millions of cells has restricted its implementation to ex vivo systems. These ex vivo systems cannot reproduce all of the cellular phenotypes observed in vivo nor can they recapitulate all of the factors that influence these phenotypes. There thus remains a pressing need for high-throughput functional genomics in a living organism. Here, we establish accessible genome-wide screening in the mouse liver and use this approach to uncover the complete regulation of cellular fitness in a living organism. We discover novel sex-specific and cell non-autonomous regulation of cell growth and viability. In particular, we find that the class I major histocompatibility complex is essential for preventing immune-mediated clearance of hepatocytes. Our approach provides the first comprehensive picture of cell fitness in a living organism and highlights the importance of investigating cellular phenomena in their native context. Our screening method is robust, scalable, and easily adapted to examine diverse cellular processes using any CRISPR application. We have hereby established a foundation for high-throughput functional genomics in a living mammal, enabling unprecedented insight into mammalian physiology and disease.

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