Dynamic Organellar Mapping in unperturbed yeast
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.omicsdi.org/dataset/pride/PXD061762
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资源简介:
Sophisticated techniques are available for systematic studies of yeast cell biology. However, it remains challenging to investigate protein subcellular localization changes on a proteome-wide scale. Here, we apply Dynamic Organellar Maps (DOMs) by label-free mass spectrometry to detect localization changes of native, untagged proteins during endoplasmic reticulum (ER) stress. This dataset comprises 6 static maps generated using the newly established sample processing workflow for yeast cells. From this dataset we generated protein copy number estimates, cytosolic pool estimates and subcellular localization predictions for nearly 3000 proteins.
创建时间:
2025-12-03



