Results 121 to 130 of about 917,694 (267)

Research on the design and innovative transformation path of shoulder rehabilitation wall-climbing ladders for postoperative breast cancer patients based on design thinking. [PDF]

BMC Nurs
He W, Chen P, Chen C, Qin H, Xia L, Zhang H.   +5 more
europepmc   +1 more source

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

Research Needs in Philippine Pharmaceutical Sciences: A Qualitative Perspective from Regulatory and Clinical Research Sectors of the Pharmaceutical Industry. [PDF]

Acta Med Philipp
Peña IG, Alos HC, Calara NKR, Pavia HGC, Bulatao BPI.   +4 more
europepmc   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Hypoxia-selective targeting of eEF1A1: A promising therapeutic strategy for triple-negative breast cancer. [PDF]

Acta Pharm Sin B
Liang SH.
europepmc   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Patient and Designer Collaboration in Cocreating Technical Innovations in a Hospital-Based Makerspace: Qualitative Interview Study. [PDF]

JMIR Hum Factors
van der Giessen J, Helder O, van Houwelingen T.   +2 more
europepmc   +1 more source

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

FEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim, Brittany Taylor, Shannon Bolten, Christian L. Eberly, Mahliya Abdurahman, T. Michael Creed, Acong Yang, Taylor L. Hatchet, Tristan Dyson, Shuo Gu, Curt I. Civin, Tami J. Kingsbury   +11 more
wiley   +1 more source

Machine learning-based prediction of polyvinyl alcohol product viscosity and design of optimal process conditions. [PDF]

Anal Sci
Nomura R, Yamauchi Y, Misawa H, Nishigaya K, Ooyama S, Kaneko H.   +5 more
europepmc   +1 more source