First-pass extracted concept

image-based spatial proteomics

Candidate: concept label1 source documents5 linked claims

Jump to evidence Jump to sources Jump to claims

Live refresh every 5sNext refresh in 5s

Evidence Snippets

This review paper seeks to address current questions in the new field of image-based spatial proteomics as well as outline future challenges of the field.

Evidence 1Source 1DOIprovenance

Supporting Sources

Source 1primary paper2023Preprints.orgDOI

1 evidence snippet 5 linked claims Claim 1 Claim 2 Claim 3

Linked Claims

Claim 1capability statementsupports2023Source 1DOI

Image-based spatial proteomics offers strong potential to expand understanding of different cell types across disease and cell states.

Claim 2future directionsupports2023Source 1DOI

Future progress in image-based spatial proteomics requires more fluorophores, especially photoswitchable and photoactivable ones, and improved temporal resolution to the sub-millisecond range.

Claim 3limitation statementsupports2023Source 1DOI

Current implementation of image-based spatial proteomics is useful but cannot fulfill the mission of large-scale atlas projects such as the Human Protein Atlas or Human Cell Atlas.

Claim 4limitation statementsupports2023Source 1DOI

Practical implementation of image-based spatial proteomics is hampered by limited fluorophore types and spectral overlap.

Claim 5scope statementsupports2023Source 1DOI

Current image-based spatial proteomics can image upwards of 10 well-chosen proteins in multi-colour experiments but cannot yet tackle larger-scale questions.