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MetabolomicsLactation-related metabolic mechanism investigated based on mammary gland metabolomics and 4 biofluids’ metabolomics relationships in dairy cows

BACKGROUND: Lactation is extremely important for dairy cows; however, the understanding of the underlying metabolic mechanisms is very limited. This study was conducted to investigate the inherent metabolic patterns during lactation using the overall biofluid metabolomics and the...

2018-03-16 | MTBLS411 | MetaboLights
ProteomicsSUMOylation disassembles the tetrameric pyruvate kinase M2 to block myeloid differentiation of leukemia cells
Leukemia arises from blockage of the differentiation/maturation of hematopoietic progenitor cells at different stages with uncontrolled proliferation of leukemic cells. However, the signal pathways that block cell differentiation remain unclear. Herein we found that SUMOylation of the M2 isoform of ...
ORGANISM(S): Homo Sapiens 
2020-12-26 | PXD023317 |
ProteomicsCharacterization of proteome variation during modern maize breeding
we used mass spectrometto perform an integrated analysis of proteome e in an association panel consisting of 98 maize inbred lines.
ORGANISM(S): Zea Mays 
2019-01-17 | PXD042776 |
ProteomicsC1Q labels a highly aggressive macrophage-like leukemia population indicating extramedullary infiltration and relapse
Extramedullary infiltration (EMI) is a concomitant manifestation indicating poor prognosis of acute myeloid leukemia (AML), yet the underlying mechanism remains poorly understood and therapeutic options are limited. Here, we employed single-cell RNA sequencing on bone marrow (BM) and EMI samples fro...
ORGANISM(S): Homo Sapiens 
2022-08-03 | PXD035784 |
UnknownClopidogrel Plus Aspirin vs Aspirin Alone in Patients With Acute Mild to Moderate Stroke: The ATAMIS Randomized Clinical Trial.
Not available
S-EPMC10928538 | biostudies-literature
UnknownGuidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Not available
S-EPMC4835977 | biostudies-literature
UnknownElective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans.
Not available
S-EPMC7272903 | biostudies-literature
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