ArticleJournal of extracellular vesicles2015
iSRAP - a one-touch research tool for rapid profiling of small RNA-seq data.
Article in Journal of extracellular vesicles, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Research progress on the tsRNA biogenesis, function, and application in lung cancer.Non-coding RNA research · 2025Review
- Approaches for sRNA Analysis of Human RNA-Seq Data: Comparison, Benchmarking.International journal of molecular sciences · 2023Article
- RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis.BMC bioinformatics · 2021Article
- Article
- Visualization of the small RNA transcriptome using seqclusterViz.F1000Research · 2019Article
- miR-MaGiC improves quantification accuracy for small RNA-seq.BMC research notes · 2018Article
- Placental trophoblast debris mediated feto-maternal signalling via small RNA delivery: implications for preeclampsia.Scientific reports · 2017Article
- QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing.BMC bioinformatics · 2017Article
- Defining the purity of exosomes required for diagnostic profiling of small RNA suitable for biomarker discovery.RNA biology · 2017Article
- Technical Advances to Study Extracellular Vesicles.Frontiers in molecular biosciences · 2017Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Small non-coding RNAs have been significantly recognized as the key modulators in many biological processes, and are emerging as promising biomarkers for several diseases. These RNA species are transcribed in cells and can be packaged in extracellular vesicles, which are small vesicles released from many biotypes, and are involved in intercellular communication. Currently, the advent of next-generation sequencing (NGS) technology for high-throughput profiling has further advanced the biological insights of non-coding RNA on a genome-wide scale and has become the preferred approach for the discovery and quantification of non-coding RNA species. Despite the routine practice of NGS, the processing of large data sets poses difficulty for analysis before conducting downstream experiments. Often, the current analysis tools are designed for specific RNA species, such as microRNA, and are limited in flexibility for modifying parameters for optimization. An analysis tool that allows for maximum control of different software is essential for drawing concrete conclusions for differentially expressed transcripts. Here, we developed a one-touch integrated small RNA analysis pipeline (iSRAP) research tool that is composed of widely used tools for rapid profiling of small RNAs. The performance test of iSRAP using publicly and in-house available data sets shows its ability of comprehensive profiling of small RNAs of various classes, and analysis of differentially expressed small RNAs. iSRAP offers comprehensive analysis of small RNA sequencing data that leverage informed decisions on the downstream analyses of small RNA studies, including extracellular vesicles such as exosomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.