期刊
CARBOHYDRATE RESEARCH
卷 448, 期 -, 页码 128-135出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.carres.2017.06.009
关键词
Cell walls; Moisture stress; Monoclonal antibodies; Pinus taeda; Xylan; Pectin; Xyloglucans
资金
- NSF Plant Genome Program [DBI-0421683, IOS-0923922]
- Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture [2013-67009-21405]
- Department of Energy [EM0004391]
- NIFA [2013-67009-21405, 577382] Funding Source: Federal RePORTER
Glycome profiling allows for the characterization of plant cell wall ultrastructure via sequential extractions and subsequent detection of specific epitopes with a suite of glycan-specific monoclonal antibodies (mAbs). The data are often viewed as the amount of materials recovered and coinciding colored heat maps of mAb binding are generated. Interpretation of these data can be considered qualitative in nature as it depends on detecting subtle visual differences in antibody binding strength. Here, we report a mixed model-based quantitative approach for glycome profile analyses, which accounts for the amount of materials recovered and displays the normalized values in revised heatmaps and statistical heatmaps depicting significant differences. The utility of this methodology was demonstrated on a previously published dataset investigating the effects of moisture stress on the roots and needles of Pinus taeda. An annotated R script for the quantitative methodology is included to allow future studies to utilize the same approach. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据