A high-stringency blueprint of the human proteome
Abstract The Human Proteome Organization (HUPO) launched the Human Proteome Project
(HPP) in 2010, creating an international framework for global collaboration, data sharing …
(HPP) in 2010, creating an international framework for global collaboration, data sharing …
OpenCell: Endogenous tagging for the cartography of human cellular organization
Elucidating the wiring diagram of the human cell is a central goal of the postgenomic era.
We combined genome engineering, confocal live-cell imaging, mass spectrometry, and data …
We combined genome engineering, confocal live-cell imaging, mass spectrometry, and data …
Avoiding a replication crisis in deep-learning-based bioimage analysis
Deep learning algorithms are powerful tools for analyzing, restoring and transforming
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
The human protein atlas—spatial localization of the human proteome in health and disease
A Digre, C Lindskog - Protein Science, 2021 - Wiley Online Library
For a complete understanding of a system's processes and each protein's role in health and
disease, it is essential to study protein expression with a spatial resolution, as the exact …
disease, it is essential to study protein expression with a spatial resolution, as the exact …
A multi-scale map of cell structure fusing protein images and interactions
The cell is a multi-scale structure with modular organization across at least four orders of
magnitude. Two central approaches for mapping this structure—protein fluorescent imaging …
magnitude. Two central approaches for mapping this structure—protein fluorescent imaging …
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
Explaining the diversity and complexity of protein localization is essential to fully understand
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells
The last decade has witnessed a technological arms race to encode the molecular states of
cells into DNA libraries, turning DNA sequencers into scalable single-cell microscopes …
cells into DNA libraries, turning DNA sequencers into scalable single-cell microscopes …
Image-based cell phenotyping with deep learning
A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …
network of molecular interactions that ultimately result in a unique morphological signature …
Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder
L Stenström, D Mahdessian, C Gnann… - Molecular Systems …, 2020 - embopress.org
The nucleolus is essential for ribosome biogenesis and is involved in many other cellular
functions. We performed a systematic spatiotemporal dissection of the human nucleolar …
functions. We performed a systematic spatiotemporal dissection of the human nucleolar …