Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Sequential Digestion with Different Proteases

ABSTRACT: We examined three combinations of different proteases for digestion of proteins from TurboID-STING-expressing cells: trypsin alone, Lys-C followed by trypsin, and Glu-C followed by trypsin. First, we tested whether PTS buffer used to solubilize precipitated proteins is compatible with digestion with these proteases. Next, biotinylated peptides were enriched after digestion with the three combinations of different proteases.

ORGANISM(S): Mus Musculus (mouse)

SUBMITTER: Hidetaka Kosako

PROVIDER: PXD032061 | JPOST Repository | Sat Mar 04 00:00:00 GMT 2023

REPOSITORIES: jPOST

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	220225_Tamavidin_OptimizedWF_5_Protease_GluC_Trypsin_FusionIT.pdResult	Other
	220225_Tamavidin_OptimizedWF_5_Protease_GluC_Trypsin_FusionIT_PeptideGroups.txt	Txt
	220225_Tamavidin_OptimizedWF_5_Protease_LysC_Trypsin_FusionIT.pdResult	Other
	220225_Tamavidin_OptimizedWF_5_Protease_LysC_Trypsin_FusionIT_PeptideGroups.txt	Txt
	220225_Tamavidin_OptimizedWF_5_Protease_Trypsin_FusionIT.pdResult	Other

Items per page:

1 - 5 of 20

Similar Datasets

Sequential Digestion with Different Proteases

Project description:We examined three combinations of different proteases for digestion of proteins from TurboID-STING-expressing cells: trypsin alone, Lys-C followed by trypsin, and Glu-C followed by trypsin. First, we tested whether PTS buffer used to solubilize precipitated proteins is compatible with digestion with these proteases. Next, biotinylated peptides were enriched after digestion with the three combinations of different proteases. We assessed reproducibility of each combination using three technical replicates.

2022-08-25 | PXD035242 | JPOST Repository

Consecutive digestion of archaeological skeletal proteomes with multiple proteases

Project description:Ancient skeletal proteomes are increasingly utilised for phylogenetic and evolutionary analysis. These proteomes are, however, often small and with low sequence coverage. We expand on previous observations which have shown that parallel digestion of Pleistocene skeletal proteomes increases proteome size and protein sequence coverage. Furthermore, we demonstrate that the consecutive digestion of a skeletal proteome using two proteases, particularly Glu-C or chymotrypsin followed by trypsin digestion, enables the recovery of alternative proteome components not reachable through trypsin digestion alone. The sequential utilisation of several proteases is a promising avenue for the study of highly degraded ancient proteomes for phylogenetic purposes.

2024-03-06 | PXD047069 | Pride

Proteomics Using Proteases Alternative to Trypsin Benefits from Sequential Digestion with Trypsin

Project description:High specificity and ease of use make trypsin the most used enzyme in proteomics. Proteases with complementary cleavage specificity to trypsin have been applied to obtain additional data. However, use of proteases with broad specificity proved especially challenging. In this work, we analyzed the characteristics of five protease alternatives to trypsin for protein identification and sequence coverage when applied to S. pombe whole cell lysates. The specificity of the protease heavily impacted on the number of proteins identified. Proteases with higher specificity let to the identification of more proteins than proteases with lower specificity. However, AspN, GluC, chymotrypsin and proteinase K largely benefited from being paired with trypsin in sequential digestion, as had been shown by us for elastase before. In the most extreme case, the addition of trypsin to a proteinase K digest increased the number of identified proteins by 524 %. Also, AspN (82 %) and GluC (74 %) protein identifications largely improved following the additional digestion with trypsin. In general, protein identifications improved most over the use of the single protease when the enzymes followed on an initial digestion with trypsin. In the most extreme case, the sequential digest with trypsin and AspN yielded even higher number of protein identifications than digesting with trypsin alone.

2021-06-07 | PXD017321 | Pride

Expression data from mammary epithelial cells harvested from 8-9 week old C3H female mice - various isolation conditions

2014-09-05 | GSE61167 | GEO

Expression data from mammary epithelial cells harvested from 8-9 week old C3H female mice - various isolation conditions

Project description:Numerous lineage analysis studies have used FACS sorting as a separation technique prior to measuring mRNA expression patterns. To assess if FACS sorting causes non-specific changes in gene expression, we collected a heterogeneous population of mammary epithelial cells from three biological replicates. We then performed gene expression analysis on each replicate either prior to trypsin digestion, immediately following trypsin digestion, or following both the trypsin digestion and a mock FACS sort. In this dataset, we include gene expression data obtained from isolated murine mammary epithelial cells either prior to trypsin digestion, immediately following trypsin digestion, or following the trypsin digestion and a mock FACS sort. Nine total samples were analyzed (3 biological replicates of three experimental conditions). Using LIMMA packages gene-wise comparisons were made between untrypsinized and trypsinized replicates as well as between trypsinized and mock FACS sorted replicates using and Pâ¤0.05 and a â¥1.5-fold difference between conditions.

2014-09-05 | E-GEOD-61167 | biostudies-arrayexpress

Promiscuous gene expression in human medullary thymic epithelial cell subsets

Project description:Different human mTEC subsets (MUC1, CEACAM5 and SGLT1) were purified by sequential enzymatic digestion (collagenase/dispase, trypsin) followed by enrichment using magnetic beads (CD45 beads, Miltenyi Biotech) and FACS sorting. Cells of the surface phenotype CD45-, CDR2-, EpCAM+ were further subdivided into MUC1+/MUC1-, CEACAM5+/CEACAM5- and SGLT1+/SGLT1- fractions. RNA was isolated using μMACS™ SuperAmp™ protocol (Miltenyi Biotec) and hybridized to Illumina Whole-Genome Expression Beadchips. Gene expression of Antigen-positive and Antigen-negative mTEC subsets was compared.

2013-08-31 | GSE49625 | GEO

ABIN1 is an signal-induced autophagy adaptor counteracting LUBAC-mediated linear ubiquitination

Project description:ABIN1 KO RAW264.7 cells and stably reconstituted with 3×FLAG-ABIN1 WT or D485N were subjected to mass spectrometric analysis. Three biological replicates were prepared for each condition. Cells were stimulated for 3 hours with 100 ng/ml LPS. ABIN1 was immunoprecipitated with 30 uL anti-FLAG M2 Magnetic Beads (M8823, Sigma-Aldrich) for 2 h at 4℃. Immunoprecipitated sample was eluted by incubation at 90°C for 5 min in 100 uL PTS buffer. Each sample was split into 3 tubes for protein digestion with Lys-C and trypsin, chymotrypsin, or Glu-C.

2022-02-17 | PXD024864 | JPOST Repository

RNAseq of trachea, bronchi and lungs of mice to investigate expression and distribution of trypsin-like proteases in the murine lower airways.

Project description:RNAseq of trachea, bronchi and lungs of mice to investigate expression and distribution of trypsin-like proteases in the murine lower airways in order to identfy potential host cell proteases capable of cleaving influenza surface glycoprotein hemaglutinine (HA) during infection.

2020-03-27 | E-MTAB-8573 | biostudies-arrayexpress

Transcriptional profiling of the pest Bactrocera oleae feeding on phenolic rich green olives

Project description:The strictly monophagous olive fruit fly, Bactrocera oleae, represents the major pest of olive orchards worldwide. It has the unique ability to hydrolyze olive proteins as well as to overcome olive defenses, especially the high levels of phenolic compounds present in the green olive mesocarp. In this study, we aimed to identify specific genes potentially implicated in overcoming green olive defense and the utilization of the flesh, by examining larval responses to green olives on the transcript level. Focusing on the up-regulated gene set, we identified two putative serine proteases and one putative UDP-glycosyltransferase possibly associated with these traits. Serine proteases could be involved in the digestion of dietary proteins but also could represent a mechanism to overcome the effect of trypsin inhibitors induced by the olive fruit upon attack. UDP-glycosyltransferase may be implicated in the sequestration and/ or direct detoxification of phenolic compounds highly present in green olives.

2017-05-12 | GSE82037 | GEO

GeLC-FAIMS-MS Workflow for In-Depth Middle-Down Proteomics

Project description:Middle-down proteomics is an analytical approach whereby protein samples are digested with proteases such as Glu-C to generate large peptides (>3 kDa) that are then analyzed by mass spectrometry. This method is useful for characterizing high-molecular-weight proteins that are difficult to detect by top-down proteomics, in which intact proteins are analyzed by mass spectrometry. In this study, we applied GeLC-FAIMS-MS, a multidimensional separation workflow that combines gel-based prefractionation with LC-FAIMS Orbitrap mass spectrometry, for deep middle-down proteomics. Middle-down peptides obtained under the condition of optimized limited Glu-C digestion were first size-fractionated by polyacrylamide gel electrophoresis, followed by C4 reversed-phase liquid chromatography separation and additional ion mobility fractionation, resulting in a significant increase in peptide length detectable by mass spectrometry. In addition to global analysis, the GeLC-FAIMS concept can also be applied to targeted middle-down proteomics, where only proteins in the desired molecular weight range are gel-fractionated and their Glu-C digestion products are analyzed, as demonstrated by targeted analysis of integrins in exosomes. In-depth middle-down proteomics achieved by global and targeted GeLC-FAIMS-MS allows the exploration of proteoform information not covered by conventional top-down proteomics via increase in the number of detectable proteoforms and improvement in sequence coverage.

2024-11-20 | PXD041358 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data