ArticleData in brief2015
Delineating the glycoproteome of elongating cotton fiber cells.
Article in Data in brief, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Long non-coding RNAs and their potential functions in Ligon-lintless-1 mutant cotton during fiber development.BMC genomics · 2019Article
- Comparative transcriptome analysis of TUCPs in Gossypium hirsutum Ligon-lintless-1 mutant and their proposed functions in cotton fiber development.Molecular genetics and genomics : MGG · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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Abstract
The data presented here delineates the glycoproteome component in the elongating cotton fiber cells attained using complementary proteomic approaches followed by protein and N-linked glycosylation site identification (Kumar et al., 2013) [1]. Utilizing species specific protein sequence databases in proteomic approaches often leads to additional information that may not be obtained using cross-species databases. In this context we have reanalyzed our glycoproteome dataset with the Gossypium arboreum, Gossypium raimondii (version 2.0) and Gossypium hirsutum protein databases that has led to the identification of 21 N-linked glycosylation sites and 18 unique glycoproteins that were not reported in our previous study. The 1D PAGE and solution based glycoprotein identification data is publicly available at the ProteomeXchange Consortium via the PRIDE partner repository (Vizcaíno et al., 2013) [2] using the dataset identifier PXD000178 and the 2D PAGE based protein identification and glycopeptide approach based N-linked glycosylation site identification data is available at the ProteomeXchange Consortium via the PRIDE partner repository (Vizcaíno et al., 2013) [2] using the dataset identifier PXD002849.
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Registered trials
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