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

Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myeloma

22 Mar 2019

Abstract excerpt

Tracking of clonal immunoglobulin V(D)J rearrangement sequences by next generation sequencing is highly sensitive for minimal residual disease in multiple myeloma. However, previous studies have found variable rates of V(D)J sequence identification at baseline, which could limit tracking. Here, we aimed to define the factors influencing the identification of clonal V(D)J sequences. Bone marrow mononuclear cells...

Read the complete abstract on PubMed

Topics

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

Share to Glycosylation and Glycoproteins Research
Share to Monoclonal and Polyclonal Antibodies Research
Share to Multiple Myeloma Research and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30901326
DOI: 10.1371/journal.pone.0211600

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myelomaPMID 30901326Read ↗

Stability and uniqueness of clonal immunoglobulin CDR3 sequences for MRD tracking in multiple myelomaSemantic proximity Read ↗

Clonotypic Features of Rearranged Immunoglobulin Genes Yield Personalized Biomarkers for Minimal Residual Disease Monitoring in Multiple MyelomaSemantic proximity Read ↗

Single-Cell RNA Sequencing for the Detection of Clonotypic V(D)J Rearrangements in Multiple MyelomaSemantic proximity Read ↗

Monitoring minimal residual disease in the bone marrow using next generation sequencing.Semantic proximity Read ↗

Deep Sequencing Reveals Oligoclonality At The Immunoglobulin Locus In Multiple Myeloma PatientsSemantic proximity Read ↗

Minimal residual disease in multiple myeloma: defining the role of next generation sequencing and flow cytometry in routine diagnostic useSemantic proximity Read ↗

Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myelomaSemantic proximity Read ↗

Cell-free DNA Whole Genome Sequencing for Non-Invasive Minimal Residual Disease Detection in Multiple MyelomaSemantic proximity Read ↗

Monitoring multiple myeloma in the peripheral blood based on cell-free DNA and circulating plasma cellsSemantic proximity Read ↗

CloneRetriever: An Automated Algorithm to Identify Clonal B and T Cell Gene Rearrangements by Next-Generation Sequencing for the Diagnosis of Lymphoid MalignanciesSemantic proximity Read ↗

Prognostic value of deep sequencing method for minimal residual disease detection in multiple myelomaSemantic proximity Read ↗

Genomic discovery and clonal tracking in multiple myeloma by cell-free DNA sequencingSemantic proximity Read ↗

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