Evidence map›Paper›PMID 21173383›Full record

ArticleMolecular & cellular proteomics : MCP2011

Proteomic profiling of a layered tissue reveals unique glycolytic specializations of photoreceptor cells.

Boris Reidel, J Will Thompson, Sina Farsiu, M Arthur Moseley, Nikolai P Skiba, Vadim Y Arshavsky

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  5. Mass spectrometry-based retina proteomics.Mass spectrometry reviews · 2023
    Review
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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 2 institutions in 1 country.

Boris ReidelAlbert Eye Research Institute, 2310 Erwin Road, Durham NC 27710, USA.
J Will Thompson
Sina Farsiu
M Arthur Moseley
Nikolai P Skiba
Vadim Y Arshavsky
Smith-Kettlewell Eye Research Institute · USDuke University · US

Funding

VISION RESEARCHP30EY005722 · NEI · DUKE UNIVERSITY · PI W Daniel Stamer · 1985 to 2026
$19.3M
Transducin movement and photoreceptor light adaptationR01EY010336 · NEI · UNIVERSITY OF WISCONSIN MADISON · PI ARSHAVSKY, VADIM Y · 1994 to 2012
$6.3M
Proteome Map of the Photoreceptor CellR21EY017648 · NEI · DUKE UNIVERSITY · PI ARSHAVSKY, VADIM Y · 2006 to 2007
$422k
NEI NIH HHS EY010336NEI NIH HHS EY017648NEI NIH HHS EY5722NEI NIH HHS P30 EY005722NEI NIH HHS R01 EY010336NEI NIH HHS R21 EY017648
6 · The paper itself

Abstract

The retina is a highly ordered tissue whose outermost layers are formed by subcellular compartments of photoreceptors generating light-evoked electrical responses. We studied protein distributions among individual photoreceptor compartments by separating the entire photoreceptor layer of a flat-mounted frozen retina into a series of thin tangential cryosections and analyzing protein compositions of each section by label-free quantitative mass spectrometry. Based on 5038 confidently identified peptides assigned to 896 protein database entries, we generated a quantitative proteomic database (a "map") correlating the distribution profiles of identified proteins with the profiles of marker proteins representing individual compartments of photoreceptors and adjacent cells. We evaluated the applicability of several common peptide-to-protein quantification algorithms in the context of our database and found that the highest reliability was obtained by summing the intensities of all peptides representing a given protein, using at least the 5-6 most intense peptides when applicable. We used this proteome map to investigate the distribution of glycolytic enzymes, critical in fulfilling the extremely high metabolic demands of photoreceptor cells, and obtained two major findings. First, unlike the majority of neurons rich in hexokinase I, but similar to other highly metabolically active cells, photoreceptors express hexokinase II. Hexokinase II has a very high catalytic activity when associated with mitochondria, and indeed we found it colocalized with mitochondria in photoreceptors. Second, photoreceptors contain very little triosephosphate isomerase, an enzyme converting dihydroxyacetone phosphate into glyceraldehyde-3-phosphate. This may serve as a functional adaptation because dihydroxyacetone phosphate is a major precursor in phospholipid biosynthesis, a process particularly active in photoreceptors because of the constant renewal of their light-sensitive membrane disc stacks. Overall, our approach for proteomic profiling of very small tissue amounts at a resolution of a few microns, combining cryosectioning and liquid chromatography-tandem MS, can be applied for quantitative investigation of proteomes where spatial resolution is paramount.

Indexed as

GlycolysisAlgorithmsAnimalsDatabases, ProteinEye ProteinsHexokinaseIsoenzymesIsotope LabelingMitochondrial ProteinsPhotoreceptor Cells, VertebrateProtein TransportProteomicsRatsRats, Long-EvansRetinal Pigment EpitheliumRod Cell Outer SegmentEye ProteinsHexokinaseIsoenzymesMitochondrial ProteinsTriose-Phosphate Isomerase

Identifiers

PMID21173383
PMCPMC3047149
OpenAlexW1992585187

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.