Proteomics

Dataset Information

0

Proteomic changes associated with sperm fertilizing ability in meat type roosters


ABSTRACT: The molecular basis of male infertility is still not well understood. Furthermore, in vitro sperm quality tests are poorly correlated to in vivo fertility. In order to better understand sperm biology and determine potential fertility biomarkers, we used a quantitative bottom-up proteomic approach to identify proteins relative to sperm fertilizing ability in meat roosters, suffering from fertility reduction due to genetic selection side effects.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Gallus Gallus (chicken)

TISSUE(S): Sperm

DISEASE(S): Infertility

SUBMITTER: Valerie LABAS  

LAB HEAD: Anaïs Vitorino Carvalho

PROVIDER: PXD022322 | Pride | 2021-08-17

REPOSITORIES: Pride

Dataset's files

Source:
altmetric image

Publications

Proteomic Changes Associated With Sperm Fertilizing Ability in Meat-Type Roosters.

Vitorino Carvalho Anaïs A   Soler Laura L   Thélie Aurore A   Grasseau Isabelle I   Cordeiro Luiz L   Tomas Daniel D   Teixeira-Gomes Ana-Paula AP   Labas Valérie V   Blesblois Elisabeth E  

Frontiers in cell and developmental biology 20210409


The molecular basis of male fertility remains unclear, especially in chickens, where decades of genetic selection increased male fertility variability as a side effect. As transcription and translation are highly limited in sperm, proteins are key molecules defining their functionality, making proteomic approaches one of the most adequate methods to investigate sperm capacity. In this context, it is interesting to combine complementary proteomic approaches to maximize the identification of prote  ...[more]

Similar Datasets

2024-09-15 | E-MTAB-14398 | biostudies-arrayexpress
2020-02-18 | PXD014849 | Pride
2016-12-13 | PXD004098 | Pride
2016-12-23 | PXD005160 | Pride
| 2525194 | ecrin-mdr-crc
2020-01-13 | PXD015517 | Pride
2020-01-13 | PXD015510 | Pride
2020-01-13 | PXD015511 | Pride
2020-01-13 | PXD015516 | Pride
2016-06-23 | E-GEOD-83622 | biostudies-arrayexpress