Evidence map›Paper›PMID 23914977›Full record

ArticleClinical proteomics2013

Characterizing the normal proteome of human ciliary body.

Renu Goel, Krishna R Murthy, Srinivas M Srikanth, Sneha M Pinto, Mitali Bhattacharjee, Dhanashree S Kelkar, Anil K Madugundu, Gourav Dey, Sujatha S Mohan, Venkatarangaiah Krishna and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Proteomic Analysis ofPathogens (Basel, Switzerland) · 2021
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  6. Review
  7. Article
  8. Protein Biomarkers in Uveitis.Frontiers in immunology · 2020
    Review
  9. Review
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  11. Article
  12. Article
  13. Article
  14. Matricellular proteins in the trabecular meshwork: review and update.Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics · 2014
    Review
  15. Review
  16. Proteomics and the eye.Proteomics. Clinical applications · 2014
    Article
  17. 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

14 authors at 4 institutions in 2 countries.

Renu Goel *Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Krishna R Murthy *Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Srinivas M SrikanthInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Sneha M PintoInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Mitali BhattacharjeeInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Dhanashree S KelkarInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Anil K MadugunduInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Gourav DeyInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Sujatha S MohanInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Venkatarangaiah KrishnaDepartment of Biotechnology, Kuvempu University, Shankaraghatta, Shimoga 577 451, Karnataka, India.
Ts Keshava PrasadInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Shukti ChakravartiJohns Hopkins University School of Medicine, Baltimore 21205, MD, USA.
H C HarshaInstitute of Bioinformatics, International Technology Park, Bangalore 560 066, India.
Akhilesh PandeyJohns Hopkins University School of Medicine, Baltimore 21205, MD, USA.
Institute of Bioinformatics · INJohns Hopkins University · USKuvempu University · INManipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ciliary body is the circumferential muscular tissue located just behind the iris in the anterior chamber of the eye. It plays a pivotal role in the production of aqueous humor, maintenance of the lens zonules and accommodation by changing the shape of the crystalline lens. The ciliary body is the major target of drugs against glaucoma as its inhibition leads to a drop in intraocular pressure. A molecular study of the ciliary body could provide a better understanding about the pathophysiological processes that occur in glaucoma. Thus far, no large-scale proteomic investigation has been reported for the human ciliary body.

resultsIn this study, we have carried out an in-depth LC-MS/MS-based proteomic analysis of normal human ciliary body and have identified 2,815 proteins. We identified a number of proteins that were previously not described in the ciliary body including importin 5 (IPO5), atlastin-2 (ATL2), B-cell receptor associated protein 29 (BCAP29), basigin (BSG), calpain-1 (CAPN1), copine 6 (CPNE6), fibulin 1 (FBLN1) and galectin 1 (LGALS1). We compared the plasma proteome with the ciliary body proteome and found that the large majority of proteins in the ciliary body were also detectable in the plasma while 896 proteins were unique to the ciliary body. We also classified proteins using pathway enrichment analysis and found most of proteins associated with ubiquitin pathway, EIF2 signaling, glycolysis and gluconeogenesis.

conclusionsMore than 95% of the identified proteins have not been previously described in the ciliary body proteome. This is the largest catalogue of proteins reported thus far in the ciliary body that should provide new insights into our understanding of the factors involved in maintaining the secretion of aqueous humor. The identification of these proteins will aid in understanding various eye diseases of the anterior segment such as glaucoma and presbyopia.

Identifiers

PMID23914977
PMCPMC3750387
OpenAlexW2118844651

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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.