Results 71 to 80 of about 1,214,396 (338)

Meta-analysis of honey bee neurogenomic response links deformed wing virus type A to precocious behavioral maturation [PDF]

, 2020
Crop pollination by the western honey bee Apis mellifera is vital to agriculture but threatened by alarmingly high levels of colony mortality, especially in Europe and North America.
Ahmed, Amy Cash, Bukhari, Syed Abbas, Hamilton, Adam R., Kevill, Jessica, Naeger, Nicholas L., Robinson, Gene E., Schroeder, Declan C., Traniello, Ian M.   +7 more
core   +1 more source

Bulk RNA-seq and scRNA-seq analysis reveal an activation of immune response and compromise of secretory function in major salivary glands of obese mice

Computational and Structural Biotechnology Journal, 2023
Obesity affects the function of multiple organs/tissues including the exocrine organ salivary glands. However, the effects of obesity on transcriptomes and cell compositions in the salivary glands have yet been studied by bulk RNA-sequencing and single ...
Heping Huang, Ce Gao, Shuai Wang, Fen Wu, Jinsong Wei, Jinrong Peng   +5 more
doaj   +1 more source

Linked optical and gene expression profiling of single cells at high-throughput. [PDF]

, 2020
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression.
Abate, Adam R, Chang, Kai-Chun, Gartner, Zev J, Liu, Leqian, Siltanen, Christian A, Zhang, Jesse Q   +5 more
core   +1 more source

Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

Nature Biotechnology, 2017
Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapid, massively parallel profiling of transcriptomes. However, assessing differential expression across multiple individuals has been hampered by inefficient sample processing and technical ...
H. Kang, Meena Subramaniam, S. Targ, M. Nguyen, L. Maliskova, Elizabeth McCarthy, Eunice Wan, Simon Wong, Lauren E. Byrnes, C. Lanata, Rachel E. Gate, S. Mostafavi, A. Marson, N. Zaitlen, L. Criswell, Chun Jimmie Ye   +15 more
semanticscholar   +1 more source

Comparative Analysis of Single-Cell RNA Sequencing Methods [PDF]

Molecular Cell, 2017
Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq ...
Ziegenhain, Christoph, Vieth, Beate I.H., Parekh, Swati, Reinius, Björn, Guillaumet-Adkins, Amy, Smets, Martha, Leonhardt, Heinrich, Heyn, Holger, Hellmann, Ines, Enard, Wolfgang   +9 more
openaire   +3 more sources

Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease

Nature Communications, 2020
The extent of microglial heterogeneity in humans remains a central yet poorly explored question in light of the development of therapies targeting this cell type.
M. Olah, V. Menon, Naomi Habib, M. Taga, Yiyi Ma, Christina Yung, M. Cimpean, Anthony Khairallah, G. Coronas-Samano, R. Sankowski, Dominic Grün, Alexandra Kroshilina, Danielle Dionne, R. Sarkis, G. Cosgrove, Jeffrey J. Helgager, J. Golden, P. Pennell, M. Prinz, J. Vonsattel, A. Teich, J. Schneider, D. Bennett, A. Regev, W. Elyaman, E. Bradshaw, P. D. De Jager   +26 more
semanticscholar   +1 more source

Power Analysis of Single Cell RNA-Sequencing Experiments [PDF]

Nature Methods, 2016
AbstractHigh-throughput single cell RNA sequencing (scRNA-seq) has become an established and powerful method to investigate transcriptomic cell-to-cell variation, and has revealed new cell types, and new insights into developmental process and stochasticity in gene expression.
Svensson, Valentine, Natarajan, Kedar Nath, Ly, Lam-Ha, Miragaia, Ricardo J, Labalette, Charlotte, Macaulay, Iain C, Cvejic, Ana, Teichmann, Sarah A   +7 more
openaire   +4 more sources

Continual learning approaches for single cell RNA sequencing data

Scientific Reports, 2023
Single-cell RNA sequencing data is among the most interesting and impactful data of today and the sizes of the available datasets are increasing drastically.
Gorkem Saygili, Busra OzgodeYigin
doaj   +1 more source

Developmental heterogeneity of microglia and brain myeloid cells revealed by deep single-cell RNA sequencing

bioRxiv, 2018
Microglia are increasingly recognized for their major contributions during brain development and neurodegenerative disease. It is currently unknown if these functions are carried out by subsets of microglia during different stages of development and ...
Qingyun Li, Zuolin Cheng, Lu Zhou, S. Darmanis, N. Neff, Jennifer Okamoto, G. Gulati, Mariko L. Bennett, Lu O. Sun, L. Clarke, J. Marschallinger, Guoqiang Yu, S. Quake, T. Wyss‐Coray, B. Barres   +14 more
semanticscholar   +1 more source

Single-cell RNA sequencing reveals the effects of chemotherapy on human pancreatic adenocarcinoma and its tumor microenvironment

bioRxiv, 2022
The role of therapy in shaping the tumor microenvironment in pancreatic ductal adenocarcinoma (PDAC) remains to be explored. Here, the authors perform single-cell RNA sequencing in PDAC samples before and after chemotherapy and suggest that chemotherapy ...
G. Werba, Daniel Weissinger, Emily A. Kawaler, Ende Zhao, Despoina Kalfakakou, S. Dhara, Grace Oh, Xiaohong Jing, Nina Beri, Lauren Khanna, T. Gonda, P. Oberstein, C. Hajdu, C. Loomis, A. Heguy, M. Sherman, A. Lund, T. Welling, Igor Dolgalev, A. Tsirigos, D. Simeone   +20 more
semanticscholar   +1 more source