Proteomics

Dataset Information

0

Characterization of seminal vesicle proteome of cactus field mouse (Peromyscus eremicus) in hydrated and dehydrated conditions


ABSTRACT: ABSTRACT: The cactus mouse (Peromyscus eremicus) is a desert-specialized rodent that experiences both chronic and acute dehydration in the Southwestern United States. Our previous research has generated substantial transcriptomic data on P. eremicus kidneys, testes, epididymis, and vas deferens in individuals exposed to hydrated and dehydrated conditions; however, the study described here is the first to describe a seminal vesicle proteome for this species. We have produced a seminal vesicle proteome from P. eremicus with free access to water and mice that were acutely dehydrated to generate a dataset that is comprehensive for both alternative water-availability states experienced by this species. We have also provided gene ontologies for this proteome using PANTHER. This proteome will provide a crucial resource for future studies characterizing the genetic and proteomic responses of reproductive tissues to drought in this rodent. Furthermore, an enhanced understanding of survival and reproductive responses (and adaptations) to dehydration is particularly relevant to clinical work aiming to minimize adverse human impacts as climate change continues to increase the incidence of drought.

INSTRUMENT(S): LTQ Orbitrap, LTQ XL

ORGANISM(S): Peromyscus Eremicus

TISSUE(S): Seminal Vesicle Fluid

SUBMITTER: Donna Hogan  

LAB HEAD: Dr. Matt MacManes

PROVIDER: PXD006532 | Pride | 2022-03-02

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
O5071508.RAW Raw
O5071508.mgf Mgf
O5071508.mzid.gz Mzid
O5071508.pride.mgf.gz Mgf
O5071508.pride.mztab.gz Mztab
Items per page:
1 - 5 of 311

Similar Datasets

2016-12-26 | E-MTAB-4141 | biostudies-arrayexpress
2016-12-26 | E-MTAB-4138 | biostudies-arrayexpress
2021-09-14 | GSE183632 | GEO
2016-07-20 | E-GEOD-81253 | biostudies-arrayexpress
2024-05-16 | GSE267191 | GEO
2007-11-06 | E-GEOD-3131 | biostudies-arrayexpress
2008-05-08 | E-GEOD-11376 | biostudies-arrayexpress
2023-10-13 | GSE232662 | GEO
2023-10-13 | GSE232792 | GEO
2018-09-13 | GSE107260 | GEO