Proteomics

Dataset Information

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Dynamic transcriptome-proteome correlation networks reveal human myeloid differentiation and neutrophil-specific programming


ABSTRACT: Human neutrophilic granulocytes form the largest pool of innate immune cells for host defense against bacterial and fungal pathogens. The dynamic changes that accompany the metamorphosis from a proliferating myeloid progenitor cell in the bone marrow into a mature non-dividing polymorphonuclear blood cell have remained poorly defined. Using mass spectrometry-based quantitative proteomics combined with transcriptomic data, we report on the dynamic changes of 5 developmental stages in the bone marrow and blood. Integration of transcriptomic and proteomic unveiled highly dynamic and differential interactions between RNA and protein kinetics during human neutrophil development which could be linked to functional maturation of typical end-stage blood neutrophil killing activities.

INSTRUMENT(S): Orbitrap Fusion ETD

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Band Form Neutrophil, Segmented Neutrophil Of Bone Marrow, Neutrophilic Metamyelocyte, Neutrophilic Promyelocyte, Neutrophil, Bone Marrow, Blood

SUBMITTER: Maartje van den Biggelaar  

LAB HEAD: M. van den Biggelaar

PROVIDER: PXD013785 | Pride | 2019-11-07

REPOSITORIES: Pride

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Publications

Dynamic Transcriptome-Proteome Correlation Networks Reveal Human Myeloid Differentiation and Neutrophil-Specific Programming.

Hoogendijk Arie J AJ   Pourfarzad Farzin F   Aarts Cathelijn E M CEM   Tool Anton T J ATJ   Hiemstra Ida H IH   Grassi Luigi L   Frontini Mattia M   Meijer Alexander B AB   van den Biggelaar Maartje M   Kuijpers Taco W TW  

Cell reports 20191101 8


Human neutrophilic granulocytes form the largest pool of innate immune cells for host defense against bacterial and fungal pathogens. The dynamic changes that accompany the metamorphosis from a proliferating myeloid progenitor cell in the bone marrow into a mature non-dividing polymorphonuclear blood cell have remained poorly defined. Using mass spectrometry-based quantitative proteomics combined with transcriptomic data, we report on the dynamic changes of five developmental stages in the bone  ...[more]

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