Evidence map›Paper›PMID 12270832›Full record

ArticleJournal of bacteriology2002

Correlations between Shine-Dalgarno sequences and gene features such as predicted expression levels and operon structures.

Jiong Ma, Allan Campbell, Samuel Karlin

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of bacteriology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

165 citing papers in PubMed, 319 citations in OpenAlex.

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105 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Jiong MaDepartment of Biological Sciences, Stanford University, Stanford, California 94305-2125, USA.
Allan Campbell
Samuel Karlin
Stanford University · US

Funding

THEORY &APPLIED STUDIES IN EVOLUTIONARY GENETICSR01GM010452 · NIGMS · STANFORD UNIVERSITY · PI KARLIN, SAMUEL · 1985 to 2006
$2.1M
MOLECULAR SEQUENCE DATAR01HG000335 · NHGRI · STANFORD UNIVERSITY · PI KARLIN, SAMUEL · 1990 to 2001
$449k
NHGRI NIH HHS 5R01HG00335-13NIGMS NIH HHS 5R01GM10452-38NIGMS NIH HHS R01 GM010452
6 · The paper itself

Abstract

This work assesses relationships for 30 complete prokaryotic genomes between the presence of the Shine-Dalgarno (SD) sequence and other gene features, including expression levels, type of start codon, and distance between successive genes. A significant positive correlation of the presence of an SD sequence and the predicted expression level of a gene based on codon usage biases was ascertained, such that predicted highly expressed genes are more likely to possess a strong SD sequence than average genes. Genes with AUG start codons are more likely than genes with other start codons, GUG or UUG, to possess an SD sequence. Genes in close proximity to upstream genes on the same coding strand in most genomes are significantly higher in SD presence. In light of these results, we discuss the role of the SD sequence in translation initiation and its relationship with predicted gene expression levels and with operon structure in both bacterial and archaeal genomes.

Indexed as

Base SequenceProtein BiosynthesisArchaeal ProteinsBacterial ProteinsCodon, InitiatorGene Expression Regulation, ArchaealGene Expression Regulation, BacterialGenome, ArchaealGenome, BacterialModels, BiologicalMolecular Sequence DataOperonRNA, MessengerRNA, RibosomalSequence Analysis, DNAArchaeal ProteinsBacterial ProteinsCodon, InitiatorRNA, MessengerRNA, Ribosomal

Identifiers

PMID12270832
PMCPMC139613
OpenAlexW1969422740

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.