Evidence map›Paper›PMID 27446192›Full record

ArticleFrontiers in plant science2016

Shotgun Proteomics of Tomato Fruits: Evaluation, Optimization and Validation of Sample Preparation Methods and Mass Spectrometric Parameters.

Himabindu V Kilambi, Kalyani Manda, Hemalatha Sanivarapu, Vineet K Maurya, Rameshwar Sharma, Yellamaraju Sreelakshmi

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Multi-omics analysis of non-pungent (Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  3. Review
  4. The variegatedComputational and structural biotechnology journal · 2024
    Article
  5. Article
  6. Article
  7. Translating theFrontiers in cell and developmental biology · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. 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.

Himabindu V KilambiRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.
Kalyani MandaRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.
Hemalatha SanivarapuRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.
Vineet K MauryaRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.
Rameshwar SharmaRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.
Yellamaraju SreelakshmiRepository of Tomato Genomics Resources, Department of Plant Sciences, School of Life Sciences, University of Hyderabad Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An optimized protocol was developed for shotgun proteomics of tomato fruit, which is a recalcitrant tissue due to a high percentage of sugars and secondary metabolites. A number of protein extraction and fractionation techniques were examined for optimal protein extraction from tomato fruits followed by peptide separation on nanoLCMS. Of all evaluated extraction agents, buffer saturated phenol was the most efficient. In-gel digestion [SDS-PAGE followed by separation on LCMS (GeLCMS)] of phenol-extracted sample yielded a maximal number of proteins. For in-solution digested samples, fractionation by strong anion exchange chromatography (SAX) also gave similar high proteome coverage. For shotgun proteomic profiling, optimization of mass spectrometry parameters such as automatic gain control targets (5E+05 for MS, 1E+04 for MS/MS); ion injection times (500 ms for MS, 100 ms for MS/MS); resolution of 30,000; signal threshold of 500; top N-value of 20 and fragmentation by collision-induced dissociation yielded the highest number of proteins. Validation of the above protocol in two tomato cultivars demonstrated its reproducibility, consistency, and robustness with a CV of < 10%. The protocol facilitated the detection of five-fold higher number of proteins compared to published reports in tomato fruits. The protocol outlined would be useful for high-throughput proteome analysis from tomato fruits and can be applied to other recalcitrant tissues.

Indexed as

protein fractionationproteome coveragesample preparationshotgun proteomicstomato fruit

Identifiers

PMID27446192
PMCPMC4925719

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Registered trials

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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.