Evidence map›Paper›PMID 22010165›Full record

ArticleCirculation. Cardiovascular genetics2011

Genomes, proteomes, and the central dogma.

Sarah Franklin, Thomas M Vondriska

Abstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Characterization of TFIIE-regulated genes by transcriptome analysis.Turkish journal of biology = Turk biyoloji dergisi · 2024
    Article
  5. Pharmacometabolomics of Asthma as a Road Map to Precision Medicine.Handbook of experimental pharmacology · 2023
    Article
  6. Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.Frontiers in cellular and infection microbiology · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. 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.

Sarah FranklinDepartment of Anesthesiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA. sfranklin@mednet.ucla.edu
Thomas M Vondriska

Funding

Dynamics of Cardiac Nuclei in Heart DiseaseR01HL105699 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2011 to 2025
$5.0M
Novel mechanisms of tyrosine kinase signaling in heartR01HL087132 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2007 to 2011
$2.3M
Reprogramming of cardiac genome by Smyd1 in hypertrophy and failureR00HL107674 · NHLBI · UNIVERSITY OF UTAH · PI FRANKLIN, SARAH · 2012 to 2014
$691k
Phenotypic Continuum Between Cardiac Growth and ProtectionR21HL096041 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2009 to 2010
$424k
Reprogramming of cardiac genome by Smyd1 in hypertrophy and failureK99HL107674 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FRANKLIN, SARAH · 2011 to 2012
$206k
NHLBI NIH HHS K99 HL107674NHLBI NIH HHS R00 HL107674NHLBI NIH HHS R01 HL087132NHLBI NIH HHS R01 HL105699NHLBI NIH HHS R21 HL096041
6 · The paper itself

Abstract

Systems biology, with its associated technologies of proteomics, genomics, and metabolomics, is driving the evolution of our understanding of cardiovascular physiology. Rather than studying individual molecules or even single reactions, a systems approach allows integration of orthogonal data sets from distinct tiers of biological data, including gene, RNA, protein, metabolite, and other component networks. Together these networks give rise to emergent properties of cellular function, and it is their reprogramming that causes disease. We present 5 observations regarding how systems biology is guiding a revisiting of the central dogma: (1) It deemphasizes the unidirectional flow of information from genes to proteins; (2) it reveals the role of modules of molecules as opposed to individual proteins acting in isolation; (3) it enables discovery of novel emergent properties; (4) it demonstrates the importance of networks in biology; and (5) it adds new dimensionality to the study of biological systems.

Indexed as

GenomicsProteomicsHeart FailureHumansMetabolic Networks and PathwaysMetabolomics

Identifiers

PMID22010165
PMCPMC3200573

What OpenQuestion holds

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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.