Results 201 to 210 of about 7,861,380 (293)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

VACCRaksha Calc: A computer program for the calculation of vaccine potency.

J Pharmacol Pharmacother, 2015
Avula SR, Avula VS.
europepmc   +1 more source

Computing Derivatives of Computer Programs

, 2000
Bischof, Christian, Bücker, Martin
openaire   +2 more sources

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

Building a computer program to support children, parents, and distraction during healthcare procedures. [PDF]

Comput Inform Nurs, 2012
Hanrahan K, McCarthy AM, Kleiber C, Ataman K, Street WN, Zimmerman MB, Ersig AL.   +6 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

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

RETRACTION: Identification of Recurrence‐Related MicroRNAs in Hepatocellular Carcinoma Following Liver Transplantation

Molecular Oncology, EarlyView.
RETRACTION: Z.‐B. Han, L. Zhong, M.‐J. Teng, J.‐W. Fan, H.‐M. Tang, J.‐Y. Wu, H.‐Y. Chen, Z.‐W. Wang, G.‐Q. Qiu, and Z.‐H. Peng, “Identification of Recurrence‐Related MicroRNAs in Hepatocellular Carcinoma following Liver Transplantation,” Molecular Oncology 6, no. 4 (2012): 445‐457, https://doi.org/10.1016/j.molonc.2012.04.001.
wiley   +1 more source

Lipopolysaccharide uptake is augmented in lipopolysaccharide‐tolerant mouse macrophage‐like cells via increased CD14 expression

FEBS Open Bio, EarlyView.
In normal (nontolerant) cells, CD14 is crucial for both LPS uptake and LPS signaling. In LPS‐tolerant cells, in which LPS‐induced TNF‐α and IFN‐β production is suppressed, there is a dramatic increase in surface CD14 expression. The overexpressed CD14 in LPS‐tolerant cells is responsible for the enhanced LPS uptake without inducing pro‐inflammatory ...
Saeka Nishihara, Takayuki Manabe, Mika Jouta, Kiyoshi Kawasaki   +3 more
wiley   +1 more source