Evidence map›Paper›PMID 25170020›Full record

ArticleMolecular systems biology2014

Quantitative analysis of mammalian translation initiation sites by FACS-seq.

William L Noderer, Ross J Flockhart, Aparna Bhaduri, Alexander J Diaz de Arce, Jiajing Zhang, Paul A Khavari, Clifford L Wang

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

124 citing papers in PubMed, 199 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

64 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

7 authors at 1 institution in 1 country.

William L NodererDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Ross J FlockhartThe Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA.
Aparna BhaduriThe Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA The Program in Cancer Biology, Stanford University School of Medicine, Stanford, CA, USA.
Alexander J Diaz de ArceDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Jiajing ZhangThe Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA.
Paul A KhavariThe Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
Clifford L WangDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA cliff.wang@stanford.edu.
Stanford University · US

Funding

Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Signaling Regulators of Epithelial Homeostasis and NeoplasiaR01AR049737 · NIAMS · STANFORD UNIVERSITY · PI PAUL KHAVARI · 2004 to 2026
$7.1M
MOLECULAR DYNAMICS IN CELLULAR AGING: A SYNTHETIC BIOLOGY APPROACH.R21AG040360 · NIA · STANFORD UNIVERSITY · PI WANG, CLIFFORD LEE · 2011 to 2012
$356k
NCI NIH HHS T32 CA009302NIAMS NIH HHS R01 AR049737NIA NIH HHS 5R21AG040360‐02NIA NIH HHS R21 AG040360
6 · The paper itself

Abstract

An approach combining fluorescence-activated cell sorting and high-throughput DNA sequencing (FACS-seq) was employed to determine the efficiency of start codon recognition for all possible translation initiation sites (TIS) utilizing AUG start codons. Using FACS-seq, we measured translation from a genetic reporter library representing all 65,536 possible TIS sequences spanning the -6 to +5 positions. We found that the motif RYMRMVAUGGC enhanced start codon recognition and translation efficiency. However, dinucleotide interactions, which cannot be conveyed by a single motif, were also important for modeling TIS efficiency. Our dataset combined with modeling allowed us to predict genome-wide translation initiation efficiency for all mRNA transcripts. Additionally, we screened somatic TIS mutations associated with tumorigenesis to identify candidate driver mutations consistent with known tumor expression patterns. Finally, we implemented a quantitative leaky scanning model to predict alternative initiation sites that produce truncated protein isoforms and compared predictions with ribosome footprint profiling data. The comprehensive analysis of the TIS sequence space enables quantitative predictions of translation initiation based on genome sequence.

Indexed as

Peptide Chain Initiation, TranslationalAmino Acid MotifsAnimalsCarcinogenesisCell Line, TumorCodon, InitiatorFlow CytometryGenetic Association StudiesHigh-Throughput Nucleotide SequencingHumansMiceModels, TheoreticalMutationNIH 3T3 CellsRNA, MessengerCodon, InitiatorRNA, MessengerFACS‐seqKozak motifproteome modelingstart codontranslation initiation

Identifiers

PMID25170020
PMCPMC4299517
OpenAlexW2127986230

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.