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 the divergent transcriptomic landscapes of cervical cancer cells grown in 3D and 2D cell culture systems

13 Aug 2024

Abstract excerpt

Cervical cancer remains a significant health challenge for women worldwide, with a disproportionate impact on developing regions like sub-Saharan Africa. Taking advantage of recent advancements in developing suitable preclinical models to study cell proliferation, differentiation, and gene expression, we used RNA sequencing to compare the transcriptomic profiles of SiHa cervical cancer cells grown in 3D versus 2D...

Read the complete abstract on PubMed

Topics

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

Share to Cervical Cancer and HPV Research
Share to Immunotherapy and Immune Responses
Share to Molecular Biology Techniques and Applications

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39193365
DOI: 10.3389/fcell.2024.1413882

Provenance

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

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deciphering the divergent transcriptomic landscapes of cervical cancer cells grown in 3D and 2D cell culture systemsPMID 39193365Read ↗

Single-cell dissection of cellular and molecular features underlying human cervical squamous cell carcinoma initiation and progressionSemantic proximity Read ↗

Sequencing-based transcriptome analysis reveals diversification of immune response- and angiogenesis-related expression patterns of early-stage cervical carcinoma as compared with high-grade CINSemantic proximity Read ↗

A Promising New Model: Establishment of Patient‐Derived Organoid Models Covering HPV‐Related Cervical Pre‐Cancerous Lesions and Their CancersSemantic proximity Read ↗

Single-cell transcriptomics and deep tissue proteomics reveal distinct tumour microenvironment present in stage-I and II cervical cancerSemantic proximity Read ↗

Expression profiling of cervical cancers in <scp>I</scp>ndian women at different stages to identify gene signatures during progression of the diseaseSemantic proximity Read ↗

The Effect of Productive HPV16 Infection on Global Gene Expression of Cervical EpitheliumSemantic proximity Read ↗

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysisSemantic proximity Read ↗

The need for complex 3D culture models to unravel novel pathways and identify accurate biomarkers in breast cancerSemantic proximity Read ↗

Single-cell transcriptomic analyses reveal heterogeneity and key subsets associated with survival and response to PD-1 blockade in cervical squamous cell carcinomaSemantic proximity Read ↗

Deciphering the cellular and molecular landscape of cervical cancer progression through single-cell and spatial transcriptomicsSemantic proximity Read ↗

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single‐cell transcriptomic analysisSemantic proximity Read ↗

Diverse intratumoral heterogeneity and immune microenvironment of two HPV‐related cervical cancer types revealed by single‐cell RNA sequencingSemantic proximity Read ↗

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