Results 141 to 150 of about 5,522,894 (323)

A Single-Cell Analysis of the Transmission of Enzyme-Forming Capacity in Yeast

, 1951
S. Spiegelman, W. F. DeLorenzo, Allan Campbell   +2 more
openalex   +1 more source

Laser−Micropipet Combination for Single-Cell Analysis [PDF]

, 1998
Christopher E. Sims, Gavin Meredith, Tatiana B. Krasieva, Michael W. Berns, Bruce J. Tromberg, Nancy L. Allbritton   +5 more
openalex   +1 more source

Single cell analysis in Vivo

Optics in the Life Sciences, 2015
Whole tissue can grow from a single stem cell, so can cancer. I will discuss recent efforts to study the biology of single cells in live animals. Article not available.
openaire   +2 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Single-Cell PCR Analysis of TCR Repertoires Selected by Antigen In Vivo: A High Magnitude CD8 Response Is Comprised of Very Few Clones [PDF]

, 1996
Janet L. Maryanski, C. Victor Jongeneel, Philipp Bücher, Jean‐Laurent Casanova, Paul R. Walker   +4 more
openalex   +1 more source

CCT4 promotes tunneling nanotube formation

FEBS Letters, EarlyView.
Tunneling nanotubes (TNTs) are membranous tunnel‐like structures that transport molecules and organelles between cells. They vary in thickness, and thick nanotubes often contain microtubules in addition to actin fibers. We found that cells expressing monomeric CCT4 generate many thick TNTs with tubulin.
Miyu Enomoto, Akiko Asada, Taro Saito, Kanae Ando   +3 more
wiley   +1 more source

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data

Nature Communications
Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and visualize statistically significant trends and biologically ...
Jakub Idkowiak, Jonas Dehairs, Jana Schwarzerová, Dominika Olešová, Jacob X. M. Truong, Aleš Kvasnička, Marios Eftychiou, Ruben Cools, Xander Spotbeen, Robert Jirásko, Vullnet Veseli, Marco Giampà, Vincent de Laat, Lisa M. Butler, Wolfram Weckwerth, David Friedecký, Jonas Demeulemeester, Karel Hron, Johannes V. Swinnen, Michal Holčapek   +19 more
doaj   +1 more source

Processing of DNA damage induced by hydrogen peroxide and methyl methanesulfonate in human lymphocytes: analysis by alkaline single cell gel electrophoresis and cytogenetic methods [PDF]

, 1999
C Andreoli
openalex   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Quantitative cytochemistry of the organ of corti, dissection, weight determination and analysis of single outer hair cells

, 1972
R. Thalmann, I. Thalmann, T. H. Comegys
openalex   +1 more source