AIMC Topic: Transcriptome
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Integrating Bulk and Single-Cell Transcriptomics with Machine Learning Reveals a Heme Metabolism-Based Panel for Lung Adenocarcinoma Chemotherapy Resistance.
International journal of molecular sciences
May 14, 2025
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism playing a critical role in tumor progression and treatment resistance. This study investigates the clinical implications of heme metabolism in LUAD, focus...
Multidrug Resistance-Associated Protein 2
Gene Expression Regulation, Neoplastic
Ferroptosis
Cisplatin
Adenocarcinoma of Lung
Multidrug Resistance-Associated Proteins
Heme
Drug Resistance, Neoplasm
Cell Line, Tumor
Single-Cell Analysis
Lung Neoplasms
Antineoplastic Agents
Gene Expression Profiling
Transcriptome
Prognosis
Female
Humans
Machine Learning
Meet the author: Hae Kyung Im.
Cell genomics
May 14, 2025
Hae Kyung Im's research group focuses on quantitative computational and statistical methods to tackle genomic data analysis and provides methods to translate the vast amount of genomic data for health research. In collaboration with Mengjie Chen's gr...
scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework.
Cell genomics
May 14, 2025
Transcriptome-wide association studies (TWASs) help identify disease-causing genes but often fail to pinpoint disease mechanisms at the cellular level because of the limited sample sizes and sparsity of cell-type-specific expression data. Here, we pr...
Prognostic value of circadian rhythm-associated genes in breast cancer.
World journal of surgical oncology
May 14, 2025
OBJECTIVE: Breast cancer (BC) remains the most prevalent malignancy among women. Clinical evidence indicates that genetic variations related to circadian rhythms, as well as the timing of therapeutic interventions, influence the response to radiation...
Identifying Lactylation-related biomarkers and therapeutic drugs in ulcerative colitis: insights from machine learning and molecular docking.
BMC pharmacology & toxicology
May 13, 2025
BACKGROUND: Ulcerative colitis (UC), a chronic relapsing-remitting inflammatory bowel disease. Recent studies have shown that lactylation modifications may be involved in metabolic-immune interactions in intestinal inflammation through epigenetic reg...
Single-cell and spatial transcriptomics reveals an anti-tumor neutrophil subgroup in microwave thermochemotherapy-treated lip cancer.
International journal of oral science
May 13, 2025
Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechanisms and molecular biology is needed. To address this, we used single-cell transcriptomics (scRNA-seq...
Transcriptomics-based exploration of ubiquitination-related biomarkers and potential molecular mechanisms in laryngeal squamous cell carcinoma.
BMC medical genomics
May 12, 2025
BACKGROUND: One of the most common and prevalent cancers is laryngeal squamous cell carcinoma (LSCC), which poses a great threat to the life and health of the patient. Nonetheless, it has been demonstrated that ubiquitination is crucial for the devel...
The interictal transcriptomic map of migraine without aura.
The journal of headache and pain
May 12, 2025
BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without aura (MO) and its comprehensive, genome- and drug discovery focused analysis to identify hypotheses for future research- and clinical attempts.
Cross study transcriptomic investigation of Alzheimer's brain tissue discoveries and limitations.
Scientific reports
May 8, 2025
Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of molecular mechanisms. Integration of transcriptomic datasets and developing innovative computational analyses may yield novel molecular targets with ...
Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks.
NPJ systems biology and applications
May 8, 2025
The rapid growth of multi-omics datasets and the wealth of biological knowledge necessitates the development of effective methods for their integration. Such methods are essential for building predictive models and identifying drug targets based on a...
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