Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Differentiation of Common Myeloid Progenitor Cells01:15

Differentiation of Common Myeloid Progenitor Cells

3.3K
Common myeloid progenitors (CMPs) are oligopotent cells that can differentiate into granulocytes and macrophages. Granulocytes and macrophages are essential for protecting the body against bacterial, viral, or fungal infections. They migrate from the bone marrow into the circulating blood to reach specific tissue sites where they differentiate and help in immune surveillance. However, they survive only for a few days and must be continuously made available to the organism to maintain a robust...
3.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Isolation of functional bacteria guided by PCR-DGGE technology from high temperature petroleum reservoirs].

Huan jing ke xue= Huanjing kexue·2008
Same author

Assessing the spatial extent of breast tumor intrinsic optical contrast using ultrasound and diffuse optical spectroscopy.

Journal of biomedical optics·2008
Same author

alpha4/7-conotoxin Lp1.1 is a novel antagonist of neuronal nicotinic acetylcholine receptors.

Peptides·2008
Same author

[Construction and characterization of avian pathogenic Escherichia coli mutants with iro and/or tsh gene mutation].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2008
Same author

[Enhancement of GFP expression by Kozak sequence +4G in HEK293 cells].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2008
Same author

Sphingomyelin synthase 2 deficiency attenuates NFkappaB activation.

Arteriosclerosis, thrombosis, and vascular biology·2008

Related Experiment Video

Updated: Sep 18, 2025

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
10:04

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis

Published on: May 1, 2015

13.2K

A Monocyte-Driven Prognostic Model for Multiple Myeloma: Multi-Omics and Machine Learning Insights.

Linzhi Xie1, Meng Gao2, Shiming Tan1

  • 1Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.

Blood and Lymphatic Cancer : Targets and Therapy
|June 23, 2025
PubMed
Summary

This study identifies a new prognostic signature for multiple myeloma (MM) based on monocyte gene expression. This Monocyte-related Gene Prognostic Signature (MGPS) helps predict patient survival and response to immunotherapy.

Keywords:
Mendelian randomizationimmunophenotypemachine learningmonocytemulti-omicsmultiple myeloma

More Related Videos

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

8.7K
Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice
05:32

Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice

Published on: January 7, 2019

6.9K

Related Experiment Videos

Last Updated: Sep 18, 2025

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
10:04

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis

Published on: May 1, 2015

13.2K
An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

8.7K
Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice
05:32

Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice

Published on: January 7, 2019

6.9K

Area of Science:

  • Hematology
  • Immunology
  • Oncology

Background:

  • Multiple myeloma (MM) pathogenesis involves complex tumor and immune cell interactions within the bone marrow tumor microenvironment (BM-TME).
  • The specific role of immune cells, particularly monocytes, in MM progression and prognosis is not fully understood.

Purpose of the Study:

  • To investigate the association between immunocyte phenotypes and MM risk.
  • To develop a prognostic model for MM based on monocyte gene expression.
  • To evaluate the predictive value of this model for treatment response and survival outcomes.

Main Methods:

  • Mendelian Randomization analysis of 731 immunocyte phenotypes and MM risk.
  • Flow cytometry to analyze monocyte markers (CD14, HLA-DR) in MM patients.
  • Single-cell RNA sequencing (scRNA-seq) to identify differentially expressed genes in monocytes.
  • Machine learning algorithms to develop and validate the Monocyte-related Gene Prognostic Signature (MGPS).

Main Results:

  • Identified 21 immune traits associated with increased MM risk.
  • Elevated CD14 and HLA-DR expression on monocytes in early-stage MM.
  • Developed MGPS, an independent prognostic factor for MM (HR 2.72).
  • Low MGPS scores correlated with significantly better overall survival (OS).

Conclusions:

  • Established a robust monocyte-related prognostic signature (MGPS) for MM using multi-omics and machine learning.
  • MGPS can identify high-risk MM patients who may benefit from intensified immunomodulatory therapies.
  • This signature holds potential for refining treatment strategies and improving immunotherapy outcomes in MM.