相关数据集
A multi-omics based anti-inflammatory immune signature characterizes Long COVID Syndrome - Kovarik et al.
Supplementary Table S1 related to Figure 1: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown. For each identified protein
Mendeley Data2024-03-27 更新80
Characteristics and predictors of Long COVID among diagnosed cases of COVID-19
A cohort study from a tertiary care hospital of Eastern India, which captures the incidence, characteristics and predictor of Long COVID among diagnosed cases of COVID-19, during four weeks and six mo
NIAID Data Ecosystem60
Discovering Oxysterols in Plasma: A Window on the Metabolome
While the proteome defines the expressed gene products, the metabolome results from reactions controlled by such gene products. Plasma represents an accessible “window” to the metabolome both in regar
NIAID Data Ecosystem20
GNPS_12162021_Osteoarthritis_plasma_Guma
Untargeted LC-MS/MS data for plasma samples from patients with osteoarthritis.
NIAID Data Ecosystem70
LONG COVID METABOLOME
In this study, our goal was to assess the plasma metabolome in a total of 108 samples collected from healthy controls, COVID-19 patients, and long COVID patients recruited in Mexico between 2020 and 2
Mendeley Data30
