Pyriproxyfen

4-Phenoxyphenyl (RS)-2-(2-pyridyloxy)propyl ether

Formula: C20H19NO3 (321.1365)
Chinese Name: 甲醇中吡丙醚溶液, 吡丙醚
BioDeep ID: BioDeep_00000014881 ( View LC/MS Profile)
SMILES: CC(COC1=CC=C(OC2=CC=CC=C2)C=C1)OC1=NC=CC=C1

Found 1 Sample Hits

m/z Adducts Species Organ Scanning Sample

m/z	Adducts	Species	Organ	Scanning	Sample
322.1501	[M+H]+ `PPM:19.7`	Mus musculus	Liver	MALDI (CHCA)	Salmonella_final_pos_recal - MTBLS2671 Resolution: 17μm, 691x430 Description A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium. [dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671.

322.1501

[M+H]+
PPM:19.7

Mus musculus

Liver

MALDI (CHCA)

Salmonella_final_pos_recal - MTBLS2671

Resolution: 17μm, 691x430

Description

A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium. [dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671.

CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10357; ORIGINAL_PRECURSOR_SCAN_NO 10352 CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10314; ORIGINAL_PRECURSOR_SCAN_NO 10312 CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10325; ORIGINAL_PRECURSOR_SCAN_NO 10324 CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10287; ORIGINAL_PRECURSOR_SCAN_NO 10284 CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10340; ORIGINAL_PRECURSOR_SCAN_NO 10338 CONFIDENCE standard compound; INTERNAL_ID 235; DATASET 20200303_ENTACT_RP_MIX505; DATA_PROCESSING MERGING RMBmix ver. 0.2.7; DATA_PROCESSING PRESCREENING Shinyscreen ver. 0.8.0; ORIGINAL_ACQUISITION_NO 10362; ORIGINAL_PRECURSOR_SCAN_NO 10360 CONFIDENCE standard compound; INTERNAL_ID 2633 D010575 - Pesticides > D007306 - Insecticides D016573 - Agrochemicals