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

Biomarkers mining for spinal cord injury based on integrated multi-transcriptome expression profile data

16 Apr 2021

Abstract excerpt

BACKGROUND: This study was aimed to discover more biomarkers associated with spinal cord injury (SCI) by constructing a competing endogenous RNA (ceRNA) network. METHODS: The transcriptome expression profile data related to SCI (GSE45006 GSE20907) were downloaded from GEO database. The differentially expressed RNAs (DERs), including lncRNAs, miRNAs, and mRNAs, between SCI and control groups were selected, which...

Topics

Join the communities discussing this publication.

Cancer-related molecular mechanisms research
MicroRNA in disease regulation
Spinal Cord Injury Research

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 33863336
DOI: 10.1186/s13018-021-02392-8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Biomarkers mining for spinal cord injury based on integrated multi-transcriptome expression profile dataPMID 33863336Read ↗

The Integrated Transcriptome Bioinformatics Analysis Identifies Key Genes and Cellular Components for Spinal Cord Injury-Related Neuropathic PainSemantic proximity Read ↗

Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learningSemantic proximity Read ↗

Identification of key genes and pathways associated with spinal cord injurySemantic proximity Read ↗

Identification of regulatory network and potential drugs in spinal cord injury based on comprehensive bioinformatics analysisSemantic proximity Read ↗

Analysis m6A-related genes of peripheral white blood cell in spinal cord injury as potential targets for prognosis and treatmentSemantic proximity Read ↗

Identification of Differentially Expressed Genes in Spinal Cord InjurySemantic proximity Read ↗

An lncRNA-miRNA-mRNA-ceRNA network regulates intervertebral disc degeneration: A bioinformatics study based on the dataset analysisSemantic proximity Read ↗

Signatures of altered long noncoding RNAs and messenger RNAs expression in the early acute phase of spinal cord injurySemantic proximity Read ↗

Machine Learning and Experiments Revealed Key Genes Related to PANoptosis Linked to Drug Prediction and Immune Landscape in Spinal Cord InjurySemantic proximity Read ↗

Differentially-expressed mRNAs, microRNAs and long noncoding RNAs in intervertebral disc degeneration identified by RNA-sequencingSemantic proximity Read ↗

Machine learning and experiments revealed key genes related to PANoptosis linked to drug prediction and immune landscape in spinal cord injurySemantic proximity Read ↗

Meta-SCI app: a comprehensive transcriptional reference for understanding the severity and progression of spinal cord injurySemantic proximity Read ↗

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