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

Genomics02:02

Genomics

38.5K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
38.5K

You might also read

Related Articles

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

Sort by
Same author

Study Protocol to Characterize Symptom Experience During Immune Checkpoint Inhibitor Therapy for Cutaneous Melanoma.

Nursing research·2026
Same author

Consensus co-expression analysis identifies a common set of co-expressed genes associated with diabetic peripheral neuropathy and chemotherapy-induced peripheral neuropathy.

Molecular pain·2026
Same author

Consensus Co-Expression Analysis Identifies A Common Set Of Co-Expressed Genes Associated With Diabetic Peripheral Neuropathy And Chemotherapy-Induced Peripheral Neuropathy.

bioRxiv : the preprint server for biology·2025
Same author

Alternative Splicing And Global Transcriptome Changes Associated With LPS Stimulation In Human Peripheral Blood Mononuclear Cells.

bioRxiv : the preprint server for biology·2025
Same author

Cytokine-Cytokine Receptor Interaction and Endocytosis are Common Pathways for Symptom Burden and Sickness Behavior Symptoms in Oncology Patients Undergoing Chemotherapy.

Cancer medicine·2025
Same author

Advancing Global Cancer Symptom Science: Insights and Strategies From the Inaugural Cancer Symptom Science Expert Meeting.

Nursing research·2025

Related Experiment Video

Updated: Nov 9, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K

Multi-Staged Data-Integrated Multi-Omics Analysis for Symptom Science Research.

Carolyn S Harris1, Christine A Miaskowski1,2, Anand A Dhruva2

  • 1School of Nursing, 8785University of California, San Francisco, CA, USA.

Biological Research for Nursing
|April 8, 2021
PubMed
Summary
This summary is machine-generated.

Multi-staged data-integrated multi-omics (MS-DIMO) analysis enhances symptom science by combining diverse omics data. This approach offers a comprehensive view of molecular mechanisms underlying symptoms, aiding in hypothesis refinement and therapeutic target discovery.

Keywords:
cross-validationgene expressiongenomicsmethylationmulti-omicssymptom

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K
Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
07:47

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Published on: September 15, 2023

1.9K

Related Experiment Videos

Last Updated: Nov 9, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.4K
Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
07:47

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Published on: September 15, 2023

1.9K

Area of Science:

  • Symptom science
  • Molecular biology
  • Bioinformatics

Background:

  • Omics approaches provide insights into molecular mechanisms of symptoms.
  • Current symptom science research often relies on single omics analyses, limiting comprehensive understanding.
  • Limitations include data confined to specific omics domains like genomics or transcriptomics.

Purpose of the Study:

  • To describe a multi-staged data-integrated multi-omics (MS-DIMO) analysis using "Symptom X" as an example.
  • To discuss challenges in single omics analyses and how MS-DIMO addresses them.
  • To review omics data integration orders, analysis tools, and case exemplars in symptom science.

Main Methods:

  • Integration of multiple omics data types within a single study.
  • Application of a multi-staged data-integrated multi-omics (MS-DIMO) framework.
  • Utilizing "Symptom X" as a case study for MS-DIMO analysis.

Main Results:

  • MS-DIMO analysis provides a more comprehensive understanding of complex biological mechanisms.
  • Refinement of mechanistic hypotheses related to symptoms.
  • Identification of potential therapeutic targets for specific symptoms.

Conclusions:

  • MS-DIMO analysis strengthens symptom science research.
  • Prioritization of functional genes and biological processes associated with symptoms.
  • Enables a holistic view of symptom etiology through integrated omics data.