Evidence map›Paper›PMID 19498043›Full record

ReviewBriefings in functional genomics & proteomics2009

Identifying regulatory elements in eukaryotic genomes.

Leelavati Narlikar, Ivan Ovcharenko

Abstract readReview
In one paragraph

Review in Briefings in functional genomics & proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of non-coding variants in cardiovascular disease.Journal of cellular and molecular medicine · 2023
    Review
  4. Low-nutrient diet inOpen biology · 2023
    Article
  5. CRISPR/Cas9 and FLP-FRT mediated regulatory dissection of the BX-C of Drosophila melanogaster.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. regCNN: identifyingComputational and structural biotechnology journal · 2022
    Article
  10. Article
  11. Article
  12. Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Homeotic Genes: Clustering, Modularity, and Diversity.Frontiers in cell and developmental biology · 2021
    Review
  18. Article
  19. New Biological Morphogenetic Methods for Evolutionary Design of Robot Bodies.Frontiers in bioengineering and biotechnology · 2020
    Review
  20. 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

2 authors.

Leelavati NarlikarComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Ivan Ovcharenko

Funding

Regulatory landscape of the human genome: comparative and evolutionary analysis.ZIALM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2009 to 2025
$20.1M
Regulatory landscape of the human genome: comparative and evolutionary analysis.Z01LM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2008 to 2008
$690k
Intramural NIH HHS
6 · The paper itself

Abstract

Proper development and functioning of an organism depends on precise spatial and temporal expression of all its genes. These coordinated expression-patterns are maintained primarily through the process of transcriptional regulation. Transcriptional regulation is mediated by proteins binding to regulatory elements on the DNA in a combinatorial manner, where particular combinations of transcription factor binding sites establish specific regulatory codes. In this review, we survey experimental and computational approaches geared towards the identification of proximal and distal gene regulatory elements in the genomes of complex eukaryotes. Available approaches that decipher the genetic structure and function of regulatory elements by exploiting various sources of information like gene expression data, chromatin structure, DNA-binding specificities of transcription factors, cooperativity of transcription factors, etc. are highlighted. We also discuss the relevance of regulatory elements in the context of human health through examples of mutations in some of these regions having serious implications in misregulation of genes and being strongly associated with human disorders.

Indexed as

AnimalsComputational BiologyEukaryotic CellsGene Expression RegulationGenomeHealthHumansRegulatory Sequences, Nucleic Acid

Identifiers

PMID19498043
PMCPMC2764519

What OpenQuestion holds

Textmetadata
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.