ReviewFrontiers in genetics2019
Reviving the Transcriptome Studies: An Insight Into the Emergence of Single-Molecule Transcriptome Sequencing.
Review in Frontiers in genetics, 2019. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed.
- Deeply conserved and expressed small ORFs in the model beetle Tribolium castaneum.BMC biology · 2026Article
- Characterization of the full-length transcriptome of female Eucoleus annulatus and comparative transcriptomic analysis of its head, middle, and tail body sections.Parasites & vectors · 2026Article
- Transcriptome analysis ofMicrobiology spectrum · 2026Article
- Full-Length transcriptome assembly and SSR marker development for Spinibarbus hollandi using PacBio SMRT sequencing.Scientific reports · 2026Article
- Article
- Integrative transcriptomic analysis reveals alternative splicing complexity and transcriptomic diversity in porcine placentas across altitudes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025Article
- Transcriptome sequencing-based analysis of the molecular mechanism underlying the effect of lncRNA AC003090.1 on osteoporosis.Journal of orthopaedic surgery and research · 2025Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Comprehensive analysis of Metacrinus rotundus full length transcriptome.Scientific reports · 2025Article
- Article
- Transcriptome-wide alternative splicing and transcript-level differential expression analysis of post-mortem Lewy body dementia brains.Acta neuropsychiatrica · 2025Article
- Article
- Comparative evaluation of sequencing platforms: Pacific Biosciences, Oxford Nanopore Technologies, and Illumina for 16S rRNA-based soil microbiome profiling.Frontiers in microbiology · 2025Article
- Splicing inhibition mediated by reduced splicing factors and helicases is associated with the cellular response of lung cancer cells to cisplatin.Computational and structural biotechnology journal · 2024Article
- An improved transcriptome annotation reveals asymmetric expression and distinct regulation patterns in allotetraploid common carp.Communications biology · 2024Article
- Climate Resilience in Farm Animals: Transcriptomics-Based Alterations in Differentially Expressed Genes and Stress Pathways.Biotech (Basel (Switzerland)) · 2024Review
- The roles of different gene expression regulators in acoustic variation in the intermediate horseshoe bat revealed by long-read and short-read RNA sequencing data.Current zoology · 2024Article
- Acoustically targeted measurement of transgene expression in the brain.Science advances · 2024Article
- The cacao gene atlas: a transcriptome developmental atlas reveals highly tissue-specific and dynamically-regulated gene networks in Theobroma cacao L.BMC plant biology · 2024Article
- A multi-tissue de novo transcriptome assembly and relative gene expression of the vulnerable freshwater salmonid Thymallus ligericus.Genetica · 2024Article
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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in transcriptomics have provided an exceptional opportunity to study functional implications of the genetic variability. Technologies such as RNA-Seq have emerged as state-of-the-art techniques for transcriptome analysis that take advantage of high-throughput next-generation sequencing. However, similar to their predecessors, these approaches continue to impose major challenges on full-length transcript structure identification, primarily due to inherent limitations of read length. With the development of single-molecule sequencing (SMS) from PacBio, a growing number of studies on the transcriptome of different organisms have been reported. SMS has emerged as advantageous for comprehensive genome annotation including identification of novel genes/isoforms, long non-coding RNAs and fusion transcripts. This approach can be used across a broad spectrum of species to better interpret the coding information of the genome, and facilitate the biological function study. We provide an overview of SMS platform and its diverse applications in various biological studies, and our perspective on the challenges associated with the transcriptome studies.
Indexed as
Identifiers
What OpenQuestion holds
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.