Search bioRxiv⌕ Search

Biology subjects

Keskin, M.

Publications and source records attributed to Keskin, M..

2 recordsLinked to original sources

Fabrication of Short Polymeric μFibers as Building Blocks for Anisotropic High-Throughput Compatible 3D Tissue Models

Modeling the 3D microenvironment and cell growth of natively anisotropic human tissues in vitro constitutes a significant challenge in tissue engineering and biofabrication. Short polymeric fibers gain growing attention in this field due to their applicability as pipettable or injectable anisometric building blocks in 3D hydrogel-based cell culture systems or bioinks. However, the production of monodisperse short fibers with high production rates suitable for screening remains challenging. In this study, short, quasi-monodisperse, magneto-responsive, fluorescent poly({varepsilon}-caprolactone) {micro}fibers with variable dimensions in the micrometer range are produced in a scalable, semi-continuous two-step fabrication process combining controlled wet-dry spinning with subsequent cryosectioning. Influences of the spinning process parameters on fiber properties and process features, as well as boundary spinning conditions and upscaling potential, are explored using Design of Experiments approaches. Further, magnetic alignment of the {micro}fibers in a weak magnetic field and incorporation of nile red as fluorescent dye for facile analysis in 3D are demonstrated. Implementation of aligned {micro}fibers into a hydrogel-based 3D vasculogenesis model, produced in a high-throughput automated manner, is shown to stimulate oriented cell growth. This highlights the potential of our {micro}fibers as guiding elements inside tissue and disease models and their suitability for automated high-throughput applications.

bioengineering↗

Comparison of Transcriptomic Changes in Younger and Older Multiple Myeloma Patients from the MMRF-CoMMpass Study RNA-Seq Data

BackgroundAge-related differences in Multiple Myeloma (MM) are studied in clinical and genomic context, however, transcriptome changes have not yet been determined. The aim of this study is to identify the genes that are expressed differently in young and old patient groups and to examine the relationship of these genes with biological pathways and the drugs that can be used. MethodsThe MMRF CoMMpass cohort RNA-Seq data (n=634) was used to analyze differentially expressed genes between young and old patients. GO term and KEGG gene-set enrichment analysis were conducted using R packages. Drug-gene interactions were detected using DGIdb. ResultsGlobally, 523 genes (366 upregulated, 157 downregulated) were differentially expressed (p < 0.05) in young patients. Totally 220 GO terms, mostly related to immune regulation pathways were enriched. "Cytokine-cytokine receptor interaction" gene-set was enriched in KEGG GSEA. Among the highest expression difference, genes involved in immune regulation (FCGR1A, FCER1G, TLR2), known proto-oncogenic genes (BCL2, FGR) and genes under investigation for association with various cancers (RGL4, MT-RNR1, ETS2, ENPP3, FUT7, NTNG2, PRAM1) were identified. Drugs associated with the pathways affected by these genes were identified. ConclusionsFurther investigation of differentially expressed genes in young patients may shed light on new treatment options.

genomics↗