Dataset Information

Comparison of Protein Extraction using Microwave and Spark Discharges in Chlorella vulgaris

ABSTRACT: Efficacies for protein extraction from C. vulgaris was compared using classical microwave extraction and a self-developed spark discharge. Besides proteins, modifications occuring at proteins were investigated to assess, which method provided a more gentle way of extraction. To observe protein extraction, proteins were purified from the supernatent and from the pellet, both directy processed after treatmemt ('dp') or after 2 h incubation on ice(2h).

INSTRUMENT(S): Q Exactive

ORGANISM(S): Chlorella Vulgaris (green Alga)

SUBMITTER: Jan-Wilm Lackmann

LAB HEAD: Jan-Wilm Lackmann

PROVIDER: PXD011411 | Pride | 2019-02-18

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 41

Similar Datasets

Project description:Highly specialized cells are fundamental for proper functioning of complex organs. Variations in cell-type specific gene expression and protein composition have been linked to a variety of diseases. Although single cell technologies have emerged as valuable tools to address this cellular heterogeneity, a majority of these workflows lack sufficient in situ resolution for functional classification of cells and are associated with extremely long analysis time, especially when it comes to in situ proteomics. In addition, lack of understanding of single cell dynamics within their native environment limits our ability to explore the altered physiology in disease development. This limitation is particularly relevant in the mammalian brain, where different cell types perform unique functions and exhibit varying sensitivities to insults. The hippocampus, a brain region crucial for learning and memory, is of particular interest due to its obvious involvement in various neurological disorders. Here, we present a combination of experimental and data integration approaches for investigation of cellular heterogeneity and functional disposition within the mouse brain hippocampus using MALDI Imaging mass spectrometry (MALDI-IMS) and shotgun proteomics (LC-MS/MS) coupled with laser-capture microdissection (LCM) along with spatial transcriptomics. Within the dentate gyrus granule cells we identified two proteomically distinct cellular subpopulations that are characterized by a substantial number of discriminative proteins. These cellular clusters contribute to the overall functionality of the dentate gyrus by regulating redox homeostasis, mitochondrial organization, RNA processing, and microtubule organization. Importantly, most of the identified proteins matched their transcripts, verifying the in situ protein identification and supporting their functional analyses. By combining high-throughput spatial proteomics with transcriptomics, our approach enables reliable near-single-cell scale identification of proteins and profiling of inter-cellular heterogeneity within similar cell-types in tissues. This methodology has the potential to be applied to different biological conditions and tissues, providing a deeper understanding of cellular subpopulations in situ.

			Action	DRS
	PelletMW12hr_1.raw	Raw
	PelletMW12hr_2.raw	Raw
	PelletMW1dp_1.raw	Raw
	PelletMW1dp_2.raw	Raw
	PelletMW22hr_1.raw	Raw

Dataset Information

Comparison of Protein Extraction using Microwave and Spark Discharges in Chlorella vulgaris

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets