Results 181 to 190 of about 5,411,335 (287)

Liquid-Liquid Phase Separation in Viral Infection and Immunology. [PDF]

MedComm (2020)
Xu J, Bai L, Wang B, Song H, Zhang L, Zhou F.   +5 more
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Protein thiol alterations drive pathologic liquid-liquid phase separation in the aging brain. [PDF]

Nat Struct Mol Biol
Vignane T, Hugo M, Hoffmann C, Reichert P, Katsouda A, D'Andrea D, Wang H, Tromm JV, Miler M, Comas F, Petrovic D, Chen S, Miljkovic JL, Stoychev D, Lacko E, Jovanovic VM, Chakraborty S, Tripathi SJ, Vázquez-Rosa E, Morris JL, Chowdhury SR, Prudent J, Sickmann A, Polovic N, Pieper AA, Davis I, Tokatlidis K, Paul BD, Murphy MP, Münch C, Papapetropoulos A, Milovanovic D, Filipovic MR.   +32 more
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Air-permeable hydrogels through viscoelastic phase separation of aerogels. [PDF]

Nature
Yan XY, Li S, Song WJ, Li R, Dahal A, Aymon BFG, Hu H, Malu DK, Carreira GE, Wu J, Lu G, Deng B, Liu J, Yu S, Wang S, Lu E, Lee H, Xu H, Chen A, Yao Y, Zhang JH, Gong C, Sun Y, Sun JY, Weitz DA, O'Brien C, Hu Y, Smith ZP, Kumar A, Zhao X.   +29 more
europepmc   +1 more source

One size does not fit all: An in vitro evaluation of the effects of bezafibrate and medroxyprogesterone acetate on human SH‐SY5Y and U‐87 MG cancer cells

FEBS Open Bio, EarlyView.
Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar, Francesco Michelangeli, Farhat Latif Khanim, Christopher Martin Bunce, William Eustace Basil Johnson   +4 more
wiley   +1 more source

Phase separation in plants: mechanisms, functions, and a simplified workflow for investigation. [PDF]

Front Plant Sci
Shen H, Zou X, Li P, Huang X, Zheng S, Ren Z.   +5 more
europepmc   +1 more source

The C‐terminal region of KIF26B is indispensable for nephron progenitor condensation and kidney formation in mice

FEBS Open Bio, EarlyView.
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura, Kengo Furuichi, Hiromitsu Akamatsu, Naoki Yamamoto, Sako Keisuke, Akihiko Koshino, Taichiro Minami, Megumi Oshima, Akinori Hara, Norihiko Sakai, Miho Shimizu, Kenta Takahashi, Minako Yamamura, Shin‐ichi Horike, Takiko Daikoku, Kenichi Harada, Yohei Shinmyo, Hiroshi Kawasaki, Takashi Wada, Yasunori Iwata   +19 more
wiley   +1 more source

A machine learning framework for predicting and modulating condition-dependent protein phase separation. [PDF]

Nat Commun
Bae J, Kang M, Lee D, Yoon KJ, Jung Y.
europepmc   +1 more source