Evidence map›Paper›PMID 25635113›Full record

ArticlePlant physiology2015

Direct detection of transcription factors in cotyledons during seedling development using sensitive silicon-substrate photonic crystal protein arrays.

Sarah I Jones, Yafang Tan, Md Shamimuzzaman, Sherine George, Brian T Cunningham, Lila Vodkin

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.2field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors at 1 institution in 1 country.

Sarah I JonesDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Yafang TanDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Md ShamimuzzamanDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Sherine GeorgeDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Brian T CunninghamDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Lila VodkinDepartments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801 l-vodkin@illinois.edu.
University of Illinois Urbana-Champaign · US

Funding

Photonic Crystal Surfaces for Label-Free Detection and Fluorescence AmplificationR01GM086382 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOLLERO, GERMAN A, CUNNINGHAM, BRIAN T. · 2009 to 2012
$1.7M
NIGMS NIH HHS R01 GM086382
6 · The paper itself

Abstract

Transcription factors control important gene networks, altering the expression of a wide variety of genes, including those of agronomic importance, despite often being expressed at low levels. Detecting transcription factor proteins is difficult, because current high-throughput methods may not be sensitive enough. One-dimensional, silicon-substrate photonic crystal (PC) arrays provide an alternative substrate for printing multiplexed protein microarrays that have greater sensitivity through an increased signal-to-noise ratio of the fluorescent signal compared with performing the same assay upon a traditional aminosilanized glass surface. As a model system to test proof of concept of the silicon-substrate PC arrays to directly detect rare proteins in crude plant extracts, we selected representatives of four different transcription factor families (zinc finger GATA, basic helix-loop-helix, BTF3/NAC [for basic transcription factor of the NAC family], and YABBY) that have increasing transcript levels during the stages of seedling cotyledon development. Antibodies to synthetic peptides representing the transcription factors were printed on both glass slides and silicon-substrate PC slides along with antibodies to abundant cotyledon proteins, seed lectin, and Kunitz trypsin inhibitor. The silicon-substrate PC arrays proved more sensitive than those performed on glass slides, detecting rare proteins that were below background on the glass slides. The zinc finger transcription factor was detected on the PC arrays in crude extracts of all stages of the seedling cotyledons, whereas YABBY seemed to be at the lower limit of their sensitivity. Interestingly, the basic helix-loop-helix and NAC proteins showed developmental profiles consistent with their transcript patterns, indicating proof of concept for detecting these low-abundance proteins in crude extracts.

Indexed as

PhotonsProtein Array AnalysisAntibodiesCotyledonCross ReactionsCrystallizationEpitopesFluorescenceGene Expression ProfilingGene Expression Regulation, PlantGenes, DevelopmentalGenes, PlantGlycine maxPeptidesPlant ExtractsPlant ProteinsAntibodiesEpitopesPeptidesPlant ExtractsPlant ProteinsRNA, MessengerSiliconTranscription Factors

Identifiers

PMID25635113
PMCPMC4348770
OpenAlexW2071252858

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.