Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Proteomic and phosphoproteomic landscapes of acute myeloid leukemia.

Blood - 29 Sept 2022

Kramer Michael H, Zhang Qiang, Sprung Robert, Day Ryan B, Erdmann-Gilmore Petra, Li Yang, Xu Ziheng, Helton Nichole M, George Daniel R, Mi Yiling, Westervelt Peter, Payton Jacqueline E, Ramakrishnan Sai M, Miller Christopher A, Link Daniel C, DiPersio John F, Walter Matthew J, Townsend R Reid, Ley Timothy J

Abstract excerpt

We have developed a deep-scale proteome and phosphoproteome database from 44 representative acute myeloid leukemia (AML) patients from the LAML TCGA dataset and 6 healthy bone marrow-derived controls. After confirming data quality, we orthogonally validated several previously undescribed features of AML revealed by the proteomic data. We identified examples of posttranscriptionally regulated proteins both...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to fms-Like Tyrosine Kinase 3
Share to Histone Demethylases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Jumonji Domain-Containing Histone Demethylases

Share to Karyopherins

Share to Ketoglutaric Acids

Share to Nucleophosmin

Share to Proteome

Share to src-Family Kinases

Source

Open in PubMed Open full text

Identifiers

PMID: 35895896
DOI: 10.1182/blood.2022016033
PMCID: PMC9523374

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proteomic and phosphoproteomic landscapes of acute myeloid leukemia.PMID 35895896Read ↗

Proteomic Characterization of Acute Myeloid Leukemia for Precision MedicineSemantic proximity Read ↗

Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside agingSemantic proximity Read ↗

A quantitative analysis of heterogeneities and hallmarks in acute myelogenous leukaemia.Semantic proximity Read ↗

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.Semantic proximity Read ↗

Integrative phosphoproteomics defines two biologically distinct groups of KMT2A rearranged acute myeloid leukaemia with different drug response phenotypesSemantic proximity Read ↗

Multi-omics-guided dynamic precision medicine in leukemia: An AML-centered framework integrating genotype, cellular state, bone marrow pathology, and the immune ecosystem.Semantic proximity Read ↗

Integrative phosphoproteomics defines two biologically distinct groups of KMT2A rearranged acute myeloid leukaemia with different drug response phenotypes.Semantic proximity Read ↗

Functional proteomic profiling of AML predicts response and survivalSemantic proximity Read ↗

Integrated multi-omic analysis reveals novel subtype-specific regulatory interactions in pediatric B-cell acute lymphoblastic leukemiaSemantic proximity Read ↗

Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia.Semantic proximity Read ↗

Phosphoprotein DIGE profiles reflect blast differentiation, cytogenetic risk stratification, FLT3/NPM1 mutations and therapy response in acute myeloid leukaemia.Semantic proximity Read ↗

The cellular state space of AML unveils novel <i>NPM1</i> subtypes with distinct clinical outcomes and immune evasion propertiesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.