Results 41 to 50 of about 5,522,894 (323)

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Frontiers in Genetics, 2016
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to revolutionize our understanding of diseases and associated biological processes at an unprecedented resolution.
Lana Garmire, Olivier Bertrand Poirion, Xun Zhu, Travers Ching   +3 more
doaj   +1 more source

Micro/Nanofluidic Devices for Single Cell Analysis

Micromachines, 2014
The Special Issue of Micromachines entitled “Micro/Nanofluidic Devices for Single Cell Analysis” covers recent advancements regarding the analysis of single cells by different microfluidic approaches.
Tuhin Subhra Santra, Fan Gang Tseng
doaj   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

Population Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Single cell transcriptome analysis using next generation sequencing. [PDF]

, 2010
The heterogeneity of tissues, especially in cancer research, is a central issue in transcriptome analysis. In recent years, research has primarily focused on the development of methods for single cell analysis. Single cell analysis aims at gaining (novel)
Blattner, M.
core   +1 more source

Chemical analysis of a single basic cell of porous anodic aluminium oxide templates [PDF]

, 2010
We prepared anodic aluminium oxide (AAO) templates with “honeycomb” geometry, i.e. hexagonally ordered circular pores. The structures were extensively studied and characterized by EPMA coupled with FEG-SEM and FEG-TEM coupled with EDX at meso and ...
Arurault, Laurent, Datas, Lucien, Le Coz, François   +2 more
core   +1 more source

Artificial intelligence‐assisted automatic and index‐based microbial single‐cell sorting system for One‐Cell‐One‐Tube

mLife, 2022
Identification, sorting, and sequencing of individual cells directly from in situ samples have great potential for in‐depth analysis of the structure and function of microbiomes.
Zhidian Diao, Lingyan Kan, Yilong Zhao, Huaibo Yang, Jingyun Song, Chen Wang, Yang Liu, Fengli Zhang, Teng Xu, Rongze Chen, Yuetong Ji, Xixian Wang, Xiaoyan Jing, Jian Xu, Yuandong Li, Bo Ma   +15 more
doaj   +1 more source

Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders

Population Ecology, EarlyView.
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa, Andrea Costa, Sebastiano Salvidio   +2 more
wiley   +1 more source

Single-cell Motility Analysis of Tethered Human Spermatozoa. [PDF]

, 2019
Vigorous sperm flagellar motility is essential for fertilization, and so the quantitative measurement of motility is a useful tool to assess the intrinsic fertility potential of sperm cells and explore how various factors can alter sperm's ability to ...
Lishko, Polina V, Mannowetz, Nadja, Roan, Nadia R, Skinner, William M   +3 more
core  

Single cell measurement of telomerase expression and splicing using microfluidic emulsion cultures. [PDF]

, 2014
Telomerase is a reverse transcriptase that maintains telomeres on the ends of chromosomes, allowing rapidly dividing cells to proliferate while avoiding senescence and apoptosis.
Hart, Kristina, Mathies, Richard A, Novak, Richard   +2 more
core   +1 more source

Comparison of spatial transcriptomics technologies using tumor cryosections

Genome Biology
Background Spatial transcriptomics technologies are revolutionizing our understanding of intra-tumor heterogeneity and the tumor microenvironment by revealing single-cell molecular profiles within their spatial tissue context.
Anne Rademacher, Alik Huseynov, Michele Bortolomeazzi, Sina Jasmin Wille, Sabrina Schumacher, Pooja Sant, Denise Keitel, Konstantin Okonechnikov, David R. Ghasemi, Kristian W. Pajtler, Jan-Philipp Mallm, Karsten Rippe   +11 more
doaj   +1 more source