Dataset Information

Spatially resolved proteome profiling of less than 200 cells from tomato fruit pericarp by integrating laser-capture microdissection with nanodroplet sample preparation

ABSTRACT: Proteomic data from technical developments of a nanoPOTS-based spatially resolved proteome profiling of <200 cells from tomato fruit pericarp.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Solanum Lycopersicum

TISSUE(S): Pericarp

SUBMITTER: Matthew Monroe

LAB HEAD: Ryan Kelly

PROVIDER: PXD010806 | Pride | 2018-08-21

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	InstrumentDataToSampleMapping.pdf	Pdf
	tomato_fruit_collenchyma_small_30um_50cm_310b_chip2A10.mgf	Mgf
	tomato_fruit_collenchyma_small_30um_50cm_310b_chip2A10.pride.mgf.gz	Mgf
	tomato_fruit_collenchyma_small_30um_50cm_310b_chip2A10.raw	Raw
	tomato_fruit_collenchyma_small_30um_50cm_310b_chip2A10_msgfplus.mzid.gz	Mzid

Items per page:

1 - 5 of 126

Publications

Spatially Resolved Proteome Profiling of <200 Cells from Tomato Fruit Pericarp by Integrating Laser-Capture Microdissection with Nanodroplet Sample Preparation.

Liang Yiran Y Zhu Ying Y Dou Maowei M Xu Kerui K Chu Rosalie K RK Chrisler William B WB Zhao Rui R Hixson Kim K KK Kelly Ryan T RT

Analytical chemistry 20180830 18

Due to sensitivity limitations, global proteome measurements generally require large amounts of biological starting material, which masks heterogeneity within the samples and differential protein expression among constituent cell types. Methods for spatially resolved proteomics are being developed to resolve protein expression for distinct cell types among highly heterogeneous tissues, but have primarily been applied to mammalian systems. Here we evaluate the performance of cell-type-specific pr ...[more]

PMID: 30118597

Similar Datasets

Project description:Fruits of transgenic tomato (Solanum lycopersicum) plants engineered with ripening-induced, yeast S-adenosylmethionine decarboxylase (ySAMdc) gene, accumulate the higher polyamines spermidine (Spd) and spermine (Spm) and demonstrate ameliorated phytonutrient content, juice quality, and prolonged vine life. Enhanced nitrogen-carbon interactions were revealed by comprehensive Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolite profiling of the transgenics, suggesting that Spd and Spm are perceived as nitrogenous metabolites by the fruit cells (Mattoo et al., 2006). The recent work by our colleagues identified the effects of Spd/Spm accumulation on various functional classes of tomato genes affected during ripening by probing 1522 ESTs on a custom-made array (Srivastava et al., 2007). In this study we monitored alterations of genome-wide transcriptional patterns in pericarp of Spd/Spm-accumulating tomatoes by means of direct comparison with azygous controls using DNA-microarray technology. Consistent with the ySAMdc expression pattern, very minor transcriptional alterations were detected in mature green developmental stage. For both breaker and red stages, large mutual and unique gene sets displayed altered levels of transcript. Ontological term analysis of up- and down-regulated transcript groups revealed processes in cell metabolism that are regulated by increased levels of Spd/Spm in ripening tomato fruits. These processes mainly involve carbohydrate and amino acids metabolism and protein synthesis. Additionally, transcript levels of representative genes encoding structural enzymes for related biosynthetic pathways show strong relationship to specific metabolites that were identified as regulated in Spd/Spm-accumulating transgenics. Plants of both genotypes were grown in randomized blocks (3 blockes 8-10 plants each). At each of 3 developmental stages (mature green, breaker and pink-red) a single fruit was harvested from a randomly chosen plant of each genotype within each block. In each harvest different plants in each block were taken to represent each genotype. Following harvest, equal pericarp samples were cut from the equator region of each fruit. These samples were pooled according to genotype prior to RNA extraction, allowing equal representation of each block in the final sample. A total of 3 harvests taken from each genotype were eventually analyzed– each harvest representing a biological repeat.