ArticleGenome research2010
Digital transcriptome profiling from attomole-level RNA samples.
Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 59 citations in OpenAlex.
- Bone marrow imaging reveals the migration dynamics of neonatal hematopoietic stem cells.Communications biology · 2022Article
- Non-coding antisense transcripts: fine regulation of gene expression in cancer.Computational and structural biotechnology journal · 2022Review
- Autophagy is dispensable for the maintenance of hematopoietic stem cells in neonates.Blood advances · 2021Article
- Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq.Journal of translational genetics and genomics · 2021Article
- Hlf marks the developmental pathway for hematopoietic stem cells but not for erythro-myeloid progenitors.The Journal of experimental medicine · 2019Article
- Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs.Nature communications · 2018Article
- Expression and role of microRNA-1271 in the pathogenesis of osteosarcoma.Experimental and therapeutic medicine · 2018Article
- Cell type-specific transcriptome profiling in mammalian brains.Frontiers in bioscience (Landmark edition) · 2016Review
- Protrusion-localized STAT3 mRNA promotes metastasis of highly metastatic hepatocellular carcinoma cells in vitro.Acta pharmacologica Sinica · 2016Article
- A cost-effective RNA sequencing protocol for large-scale gene expression studies.Scientific reports · 2015Article
- The mirror RNA expression pattern in human tissues.Precision medicine · 2015Article
- Reproducibility and reliability assays of the gene expression-measurements.Journal of biological research (Thessalonike, Greece) · 2014Article
- A comparison of sperm RNA-seq methods.Systems biology in reproductive medicine · 2014Article
- TREM2 and the neuroimmunology of Alzheimer's disease.Biochemical pharmacology · 2014Review
- From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing.Genome research · 2014Article
- RNA-Seq technology and its application in fish transcriptomics.Omics : a journal of integrative biology · 2014Review
- The microglial sensome revealed by direct RNA sequencing.Nature neuroscience · 2013Article
- Direct RNA sequencing mediated identification of mRNA localized in protrusions of human MDA-MB-231 metastatic breast cancer cells.Journal of molecular signaling · 2013Article
- Genomics and proteomics in solving brain complexity.Molecular bioSystems · 2013Review
- Two methods for full-length RNA sequencing for low quantities of cells and single cells.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Accurate profiling of minute quantities of RNA in a global manner can enable key advances in many scientific and clinical disciplines. Here, we present low-quantity RNA sequencing (LQ-RNAseq), a high-throughput sequencing-based technique allowing whole transcriptome surveys from subnanogram RNA quantities in an amplification/ligation-free manner. LQ-RNAseq involves first-strand cDNA synthesis from RNA templates, followed by 3' polyA tailing of the single-stranded cDNA products and direct single molecule sequencing. We applied LQ-RNAseq to profile S. cerevisiae polyA+ transcripts, demonstrate the reproducibility of the approach across different sample preparations and independent instrument runs, and establish the absolute quantitative power of this method through comparisons with other reported transcript profiling techniques and through utilization of RNA spike-in experiments. We demonstrate the practical application of this approach to define the transcriptional landscape of mouse embryonic and induced pluripotent stem cells, observing transcriptional differences, including over 100 genes exhibiting differential expression between these otherwise very similar stem cell populations. This amplification-independent technology, which utilizes small quantities of nucleic acid and provides quantitative measurements of cellular transcripts, enables global gene expression measurements from minute amounts of materials and offers broad utility in both basic research and translational biology for characterization of rare cells.
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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.