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

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma

10 Feb 2022

Abstract excerpt

Osteolytic lesions (OL) characterize symptomatic multiple myeloma. The mechanisms of how malignant plasma cells (PC) cause OL in one region while others show no signs of bone destruction despite subtotal infiltration remain unknown. We report on a single-cell RNA sequencing (scRNA-seq) study of PC obtained prospectively from random bone marrow aspirates (BM) and paired imaging-guided biopsies of OL. We analyze...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Extracellular vesicles in disease
Share to Multiple Myeloma Research and Treatments

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35145077
DOI: 10.1038/s41467-022-28266-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 23 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myelomaPMID 35145077Read ↗

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myelomaSemantic proximity Read ↗

Spatial multi-omics of multiple myeloma uncovers niche-dependent pro-myeloma and immunosuppressive signaling in the bone marrow and extramedullary lesionsSemantic proximity Read ↗

Resolving the spatial architecture of myeloma and its microenvironment at the single-cell levelSemantic proximity Read ↗

Co-evolution of tumor and immune cells during progression of multiple myeloma.Semantic proximity Read ↗

Single-cell sequencing reveals the mechanisms of multiple myeloma progression: clarity or confusion?Semantic proximity Read ↗

Unveiling the cellular landscape: insights from single-cell RNA sequencing in multiple myelomaSemantic proximity Read ↗

Spatial transcriptomics reveals profound subclonal heterogeneity and T-cell dysfunction in extramedullary myelomaSemantic proximity Read ↗

Cross center single-cell RNA sequencing study of the immune microenvironment in rapid progressing multiple myelomaSemantic proximity Read ↗

Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesisSemantic proximity Read ↗

Genomic Basis of Multiple Myeloma Subtypes from the MMRF CoMMpass StudySemantic proximity Read ↗

Multiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical ImplicationsSemantic proximity Read ↗

Heterogeneity of genomic evolution and mutational profiles in multiple myeloma.Semantic proximity Read ↗

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