ReviewFrontiers in genetics2020
Methodologies for Transcript Profiling Using Long-Read Technologies.
Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
71 citing papers in PubMed.
- Nanopore Sequencing for Chikungunya Virus: Principles and Application.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Review
- Long non-coding RNAs in exercise: the hidden regulators of adaptation.Pflugers Archiv : European journal of physiology · 2026Review
- Integrating single-cell RNA sequencing with multi-omics to decode disease microenvironments.Molecular biology reports · 2026Review
- Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026Review
- Veterinary Herpesviruses: Experimental Tools for Transcriptomics and Neuroscience.Veterinary sciences · 2026Review
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- Unlocking the full potential of nanopore sequencing: tips, tricks, and advanced data analysis techniques.Nucleic acids research · 2026Review
- RBFOX2-dependent alternative splicing of Numb regulates Notch signaling during muscle stem cell activation.Stem cell reports · 2026Article
- Long-read sequencing for cancer liquid biopsy: advancing precision oncology.Frontiers in oncology · 2026Review
- The effect of human-specific genetic variants on neuronal spinogenesis.Frontiers in genetics · 2026Review
- Cross-Species Insights Into Gamma Herpesvirus Transcriptomes: Long-Read and Multi-Omics Perspectives.Journal of medical virology · 2026Review
- Nano3P-seq: charting the coding and noncoding transcriptome at single-molecule resolution.Nature protocols · 2025Review
- Intron retention regulates STAT2 function and predicts immunotherapy response in lung cancer.bioRxiv : the preprint server for biology · 2025Article
- Long-read RNA-sequencing reveals transcript-specific regulation in human-derived cortical neurons.Open biology · 2025Article
- De novo transcriptome assembly of Acartia tonsa adults using Nanopore long-read sequencing.Scientific data · 2025Article
- True length of diverse capped RNA sequencing (TLDR-seq): 5'-3'-end sequencing of capped RNAs regardless of 3'-end status.Nucleic acids research · 2025Article
- Profiling the epigenome using long-read sequencing.Nature genetics · 2025Review
- Defining the True Native Ends of RNAs at Single-Molecule Level with TERA-Seq.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Next-generation sequencing applications in food science: fundamentals and recent advances.Frontiers in bioengineering and biotechnology · 2025Review
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA sequencing using next-generation sequencing technologies (NGS) is currently the standard approach for gene expression profiling, particularly for large-scale high-throughput studies. NGS technologies comprise high throughput, cost efficient short-read RNA-Seq, while emerging single molecule, long-read RNA-Seq technologies have enabled new approaches to study the transcriptome and its function. The emerging single molecule, long-read technologies are currently commercially available by Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT), while new methodologies based on short-read sequencing approaches are also being developed in order to provide long range single molecule level information-for example, the ones represented by the 10x Genomics linked read methodology. The shift toward long-read sequencing technologies for transcriptome characterization is based on current increases in throughput and decreases in cost, making these attractive for
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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.