Mapping normal and cancer cell signalling networks: towards single-cell proteomics.
Oncogenesis and tumour progression are supported by alterations in cell signalling. Using flow cytometry, it is now possible to track and analyse signalling events in individual cancer cells. Data from this type of analysis can be used to create a network map of signalling in each cell and to link specific signalling profiles with clinical outcomes. This form of 'single-cell proteomics' can identify pathways that are activated in therapy-resistant cells and can provide biomarkers for cancer diagnosis and for determining patient prognosis.
Department of Medicine, Oncology Division, Stanford University, Stanford, California 94305, USA.
Jonathan M
JM
Irish
Nikesh
N
Kotecha
Garry P
GP
Nolan
D014408:Biomarkers, Tumor; D002450:Cell Communication; D002471:Cell Transformation, Neoplastic / Q000235:genetics*; D005434:Flow Cytometry; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D011379:Prognosis; D040901:Proteomics; D015398:Signal Transduction
D014408:Biomarkers, Tumor