ReviewCold Spring Harbor perspectives in medicine2015
RNA-Seq: Improving Our Understanding of Retinal Biology and Disease.
Review in Cold Spring Harbor perspectives in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Article
- Transcriptomic Responses of Human Retinal Vascular Endothelial Cells to Inflammatory Cytokines.Translational vision science & technology · 2022Article
- Article
- RNA sequencing analysis of the human retina and associated ocular tissues.Scientific data · 2020Article
- Impacts of ciliary neurotrophic factor on the retinal transcriptome in a mouse model of photoreceptor degeneration.Scientific reports · 2020Article
- The Molecular Basis of Human Anophthalmia and Microphthalmia.Journal of developmental biology · 2019Review
- Human papillomavirus 16E6/E7 activates autophagy via Atg9B and LAMP1 in cervical cancer cells.Cancer medicine · 2019Article
- Digital gene expression analyses of mammary glands from meat ewes naturally infected with clinical mastitis.Royal Society open science · 2019Article
- Article
- Identification of the miRNA-mRNA regulatory network of antler growth centers.Journal of biosciences · 2019Article
- Aberrant Expressions of Co-stimulatory and Co-inhibitory Molecules in Autoimmune Diseases.Frontiers in immunology · 2019Article
- Systematic review of differential methylation in rare ophthalmic diseases.BMJ open ophthalmology · 2019Review
- A two-component signal transduction system contributes to the virulence ofJournal of veterinary science · 2018Article
- Identification of a RNA-Seq Based 8-Long Non-Coding RNA Signature Predicting Survival in Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2016Article
- Functional networks of aging markers in the glomeruli of IgA nephropathy: a new therapeutic opportunity.Oncotarget · 2016Article
- Genomic approaches for the discovery of genes mutated in inherited retinal degeneration.Cold Spring Harbor perspectives in medicine · 2014Review
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
Abstract
Over the past several years, rapid technological advances have allowed for a dramatic increase in our knowledge and understanding of the transcriptional landscape, because of the ability to study gene expression in greater depth and with more detail than previously possible. To this end, RNA-Seq has quickly become one of the most widely used methods for studying transcriptomes of tissues and individual cells. Unlike previously favored analysis methods, RNA-Seq is extremely high-throughput, and is not dependent on an annotated transcriptome, laying the foundation for novel genetic discovery. Additionally, RNA-Seq derived transcriptomes provide a basis for widening the scope of research to identify potential targets in the treatment of retinal disease.
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.