Biology subjects

Adrianto, I.

Publications and source records attributed to Adrianto, I..

4 recordsLinked to original sources

bioRxiv2026

Keloid transcriptomics reveal heterogeneity in fibroblast subtype enrichment, gene expression, and immune cell responses

Keloid disease (KD) is a fibroproliferative skin disorder resulting from abnormal scar formation that causes pain, itching, and decreased quality of life. While multiple KD transcriptomic studies exist, the influence of cell type composition on bulk tissue gene expression is unknown. We characterized fibroblast subtype and immune cell enrichment using bulk RNA-Seq of head and neck keloid and matched adjacent normal skin tissue (MANST) from 14 patients (10 African American and 4 European American). Cell type enrichment was calculated by single sample gene set enrichment analysis. Linear mixed-effects models were employed for 1) differential cell type enrichment across tissue, 2) tissue type-specific associations between fibroblast subtypes and immune cells, and 3) differentially expressed genes (DEGs) across tissue. Validation was conducted in an independent cohort of 8 African Americans. Three fibroblast subtypes and 14 immune cell types were differentially enriched across tissue type. Further, 17 tissue type-specific fibroblast subtype-immune cell enrichment associations were identified, with 14 exhibiting decreased association in keloid tissue relative to MANST. After adjustment for cell type enrichment, MIR31HG and NR4A2 were significant DEGs with the largest positive and negative fold-changes, respectively. By considering cell type enrichment, underlying keloid tissue-specific cell type and gene expression associations were revealed.

bioinformatics↗

bioRxiv2023

Mass cytometry identifies dysregulation of circulating and cutaneous immune cells in patients with hidradenitis suppurativa

2.BackgroundHidradenitis suppurativa (HS) is a multifactorial, inflammatory skin disease. Increased systemic inflammatory comorbidities and serum cytokines highlight systemic inflammation as a feature of HS. However, the specific immune cell subsets contributing to systemic and cutaneous inflammation have not been resolved. ObjectiveIdentify features of peripheral and cutaneous immune dysregulation. MethodsHere, we generated whole-blood immunomes by mass cytometry. We performed a meta-analysis of RNA-seq data, immunohistochemistry, and imaging mass cytometry to characterize the immunological landscape of skin lesions and perilesions from patients with HS. ResultsBlood from patients with HS exhibited lower frequencies of natural killer cells, dendritic cells, and classical (CD14+CD16-) and nonclassical (CD14-CD16+) monocytes, as well as higher frequencies of Th17 cells and intermediate (CD14+CD16+) monocytes than blood from healthy controls. Classical and intermediate monocytes from patients with HS had increased expression of skin-homing chemokine receptors. Furthermore, we identified a CD38+ intermediate monocyte subpopulation that was more abundant in the immunome of blood from patients with HS. Meta-analysis of RNA-seq data found higher CD38 expression in lesional HS skin than in perilesional skin, and markers of classical monocyte infiltration. Imaging mass cytometry showed that CD38+ classical monocytes and CD38+ monocyte-derived macrophages were more abundant in lesional HS skin. ConclusionOverall, we report targeting CD38 may be worth pursuing in clinical trials. 3. Key MessagesO_LIMonocyte subsets express markers of activation in circulation and HS lesions C_LIO_LITargeting CD38 may be a viable strategy for treating systemic and cutaneous inflammation in patients with HS C_LI 4. Capsule SummaryDysregulated immune cells in patients with HS express CD38 and may be targeting by anti-CD38 immunotherapy.

immunology↗

bioRxiv2023

The Hidradenitis Suppurativa 'Omics Database (HS-OmicsDB)

Large scale meta-analyses of genomics and genetics have spurred research in a number of fields, such as cancer, genetics and immunology. Publicly available omics databases provide valuable hypothesis generating and validation tools. To date, no such initiative has been undertaken for Hidradenitis Suppurativa (HS), an inflammatory skin disease of unknown etiology. We present here, a longitudinal initiative seeking to aggregate publicly available omics data to enhance research efforts in HS. In its first iteration, we include bulk and single-cell RNA sequencing data from untreated HS patients. Our data, aggregated from publicly available GEO datasets provides a tool to profile gene expression in specific tissue types (i.e. lesional, perilesional, nonlesional and healthy skin) as well as map cell-specific gene expression on single-cell data from HS lesions.

bioinformatics↗

bioRxiv2021

Tribbles 2 confers enzalutamide resistance in prostate cancer by promoting lineage plasticity.

Second-generation anti-androgen, such as enzalutamide (Xtandi), is commonly prescribed for prostate cancer therapy, but enzalutamide-resistant, lethally incurable disease invariably develops. To understand the molecular basis of enzalutamide resistance, we comprehensively analyzed prostate tumors and clinically relevant models. These studies revealed that enzalutamide resistant prostate cancer cells overexpress Tribbles 2 (Trib2), a pseudokinase. Expression of Trib2 is negatively regulated by androgen receptor signaling. Overexpression of Trib2 makes prostate cancer cells completely resistant to clinically relevant doses of enzalutamide. Trib2 downregulates expression of luminal markers but upregulates the neuronal transcription factor, BRN2, and the stemness factor, SOX2, to induce neuroendocrine differentiation. Our findings indicate that Trib2 confers resistance to enzalutamide therapy via a mechanism involving increased cellular plasticity and lineage switching.

cancer biology↗