Evidence map›Paper›PMID 25668385›Full record

ReviewProgress in retinal and eye research2015

Vision from next generation sequencing: multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development, aging and disease.

Hyun-Jin Yang, Rinki Ratnapriya, Tiziana Cogliati, Jung-Woong Kim, Anand Swaroop

Open access · hybridAbstract readReview
In one paragraph

Review in Progress in retinal and eye research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 53 citations in OpenAlex.

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  20. Diabetic Retinopathy: Battling the Global Epidemic.Investigative ophthalmology & visual science · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Hyun-Jin YangNeurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Rinki RatnapriyaNeurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Tiziana CogliatiNeurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Jung-Woong KimNeurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
Anand SwaroopNeurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA. Electronic address: swaroopa@nei.nih.gov.
National Institutes of Health · US

Funding

Regulation of retinal developmentZIAEY000450 · NEI · NATIONAL EYE INSTITUTE · PI SWAROOP, ANAND · 2009 to 2025
$71.0M
Retinal aging and inherited neurodegenerative diseasesZIAEY000473 · NEI · NATIONAL EYE INSTITUTE · PI SWAROOP, ANAND · 2009 to 2014
$16.2M
Genetic susceptibility and common multi-factorial retinal/macular diseasesZIAEY000475 · NEI · NATIONAL EYE INSTITUTE · PI SWAROOP, ANAND · 2009 to 2014
$6.9M
Regulation of gene expression in the retinaZ01EY000450 · NEI · NATIONAL EYE INSTITUTE · PI SWAROOP, ANAND · 2008 to 2008
$2.4M
Intramural NIH HHS Z01 EY000450Intramural NIH HHS ZIA EY000450Intramural NIH HHS ZIA EY000473Intramural NIH HHS ZIA EY000475NEI NIH HHS ZO1-EY000450NEI NIH HHS ZO1-EY000473NEI NIH HHS ZO1-EY000475
6 · The paper itself

Abstract

Genomics and genetics have invaded all aspects of biology and medicine, opening uncharted territory for scientific exploration. The definition of "gene" itself has become ambiguous, and the central dogma is continuously being revised and expanded. Computational biology and computational medicine are no longer intellectual domains of the chosen few. Next generation sequencing (NGS) technology, together with novel methods of pattern recognition and network analyses, has revolutionized the way we think about fundamental biological mechanisms and cellular pathways. In this review, we discuss NGS-based genome-wide approaches that can provide deeper insights into retinal development, aging and disease pathogenesis. We first focus on gene regulatory networks (GRNs) that govern the differentiation of retinal photoreceptors and modulate adaptive response during aging. Then, we discuss NGS technology in the context of retinal disease and develop a vision for therapies based on network biology. We should emphasize that basic strategies for network construction and analyses can be transported to any tissue or cell type. We believe that specific and uniform guidelines are required for generation of genome, transcriptome and epigenome data to facilitate comparative analysis and integration of multi-dimensional data sets, and for constructing networks underlying complex biological processes. As cellular homeostasis and organismal survival are dependent on gene-gene and gene-environment interactions, we believe that network-based biology will provide the foundation for deciphering disease mechanisms and discovering novel drug targets for retinal neurodegenerative diseases.

Indexed as

Gene Regulatory NetworksAgingComputational BiologyGenome-Wide Association StudyGenomicsHigh-Throughput Nucleotide SequencingHumansRetinaRetinal DiseasesSequence Analysis, DNAChIP-seqeQTLGene regulatory networkHigh throughput genomicsInherited blindnessMacular degenerationNetwork medicinePathway-based drug discoveryPersonalized medicinePhotoreceptorRetinal degenerationRNA-seqSystems biologyWhole exome sequencing

Identifiers

PMID25668385
PMCPMC4402139
OpenAlexW2052055169

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.