Controlling cellular responses on biomaterial surfaces is crucial in biomedical applications such as tissue engineering and implantable prosthetics. Since cells encounter various nanoscale topographic features in their natural environment, it has been postulated that surface nanotopography may be an alternative route to fabricate biomaterials with a desirable cellular response. In this framework, we investigated the responses of primary human fibroblasts to platinum substrates with different levels of surface roughness at the nanoscale. The nanorough surfaces were fabricated by using the glancing angle deposition technique (GLAD). We found that levels of cellular responses depended on the surface roughness and the size of the nanoscale features. We showed that in response to nanotopography cells spread less and have an elongated morphology, displaying signs of actin cytoskeleton impairment and reduced formation of focal adhesion complexes. Although cell growth and adhesion were impaired on the nanorough substrates, cell viability was not affected by topography. To a minor extent our results also indicate that cell migration might be reduced on the nanorough surfaces, since a significantly lower gene expression of migration related genes were found on the roughest surfaces as compared to the flat reference. The results presented here demonstrate that surface nanotopography influences fibroblasts responses on platinum, which may be used to reduce cellular adhesion on platinum implant surfaces such as implantable neural electrodes.
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http://dx.doi.org/10.1016/j.colsurfb.2011.02.028 | DOI Listing |
Sci Rep
December 2024
College of Electrical Engineering, Anhui Polytechnic University, Wuhu, 241000, Anhui, China.
The quantity of cable conductors is a crucial parameter in cable manufacturing, and accurately detecting the number of conductors can effectively promote the digital transformation of the cable manufacturing industry. Challenges such as high density, adhesion, and knife mark interference in cable conductor images make intelligent detection of conductor quantity particularly difficult. To address these challenges, this study proposes the YOLO-cable model, which is an improvement made upon the YOLOv10 model.
View Article and Find Full Text PDFCell Mol Life Sci
December 2024
Department of Thoracic Surgery Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Objective: Intrahepatic cholangiocarcinoma (iCCA) is a highly lethal hepatobiliary malignancy with an increasing incidence annually. Extensive research has elucidated the existence of a reciprocal interaction between platelets and cancer cells, which promotes tumor proliferation and metastasis. This study aims to investigate the function and mechanism underlying iCCA progression driven by the interplay between platelets and tumor cells, aiming to provide novel therapeutic strategies for iCCA.
View Article and Find Full Text PDFPathol Res Pract
December 2024
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan 333031, India. Electronic address:
Long non-coding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript1 (MALAT1) has emerged as a crucial biomarker and therapeutic target for kidney diseases, including acute kidney injury (AKI), chronic kidney disease (CKD), diabetic kidney disease (DKD), lupus nephritis (LN), and renal cell carcinoma (RCC). LncRNAs are non-coding RNAs that have more than 200 nucleotides that play a crucial role in gene regulation at the post-translational stage, transcriptional, and epigenetic levels. LncRNA MALAT1 regulates gene expression and modulates cellular functions such as proliferation, inflammation, apoptosis, and fibrosis, which are key pathophysiology of kidney diseases.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Materials Science and Engineering, Korea University, Seoul, Republic of Korea.
The native extracellular matrix is continuously remodeled to form complex interconnected network structures that reversibly regulate stem cell behaviors. Both regulation and understanding of its intricate dynamicity can help to modulate numerous cell behaviors. However, neither of these has yet been achieved due to the lack of designing and modeling such complex structures with dynamic controllability.
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