Riboproteome remodelling during quiescence exit in Saccharomyces cerevisiae
收藏doi.org2025-01-16 收录
下载链接:
http://doi.org/10.17632/sx57cnnb4p.1
下载链接
链接失效反馈官方服务:
资源简介:
Characterization of the riboproteome composition in quiescent cells and post-translational reactivation.
To characterize ribosome heterogeneity during the exit from quiescence, the protein composition of ribosomal particles from stationary phase and nutrient-stimulated cells was assessed using a label-free quantitative mass spectrometry strategy.. To this end, crude extracts from these cells were subjected to sucrose gradient centrifugation and three fractions free (F); monosome (M=80S + 60S + 40S) and polysome (P) were analyzed by nano-HPLC-MS/MS. A total of 528 proteins were identified.
Supplemenary Table 1 contains Protein content (M%) mean and standard error. n:=3 biological replicates for each fraction/condition; Log Poly-Mono PR abundance: mean and standard error of log (P/M) PR abundance from the log (protein abundance M% polysome sample x/protein abundance M% and Co-fractionated protein distribution F, M, P= ln M% fraction/((M%Free+M%Monosome+M%Polysome)/3)). The color scale indicates the level of protein distribution between F (free), M (monosome) and P (polysome) fraction. Bold values represent values greater than 0.74 on the co-fractionated protein distribution free, monosome, and polysome index (proteins exhibiting a high concentration in a unique fraction accumulating over 70%).
Supplementry Table 2 contains the normalized ribosomal protein abundance.
对静息细胞和翻译后重新激活后核糖体蛋白组成的表征。为表征细胞从静息状态退出过程中的核糖体异质性,本研究采用无标记定量质谱策略,对处于稳定期和营养刺激状态下细胞中的核糖体颗粒蛋白质组成进行了评估。为此,从这些细胞中提取的粗提取物经蔗糖梯度离心分离,得到三个组分:游离组分(F)、单聚体组分(M=80S + 60S + 40S)和多聚体组分(P),并通过纳米高效液相色谱-串联质谱技术进行分析。共鉴定出528种蛋白质。
补充表1包含蛋白质含量(M%)的平均值和标准误。n:=每个组分/条件下的3个生物学重复;对数多聚体-单聚体PR丰度:对数(P/M)PR丰度的平均值和标准误,计算公式为对数(蛋白质丰度M%多聚体样本x/蛋白质丰度M%和共分离蛋白质分布F, M, P= ln M%组分/((M%Free+M%Monosome+M%Polysome)/3))。颜色刻度表示蛋白质在F(游离)、M(单聚体)和P(多聚体)组分之间的分布水平。粗体值表示在共分离蛋白质分布的游离、单聚体和多聚体指数(在特定组分中高浓度累积超过70%的蛋白质)上大于0.74的值。
补充表2包含标准化核糖体蛋白质丰度。
提供机构:
Mendeley Data



