Results 71 to 80 of about 731,457 (305)

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: modern approaches and achievements

RUDN Journal of Medicine
Relevance. Single-cell RNA sequencing (scRNA-seq) is a modern approach to studying the diversity and heterogeneity of RNA transcripts in individual cells, as well as to identifying the composition of different cell types and functions in organisms ...
Artem E. Gusev, Petr V. Chernov, Nikolai A. Dmitriev, Ilya A. Kofiadi   +3 more
doaj   +1 more source

Automatic cell type identification methods for single-cell RNA sequencing

Computational and Structural Biotechnology Journal, 2021
Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for scientists of many research disciplines due to its ability to elucidate the heterogeneous and complex cell-type compositions of different tissues and cell populations. Traditional cell-
Bingbing Xie, Qin Jiang, Antonio Mora, Xuri Li   +3 more
doaj   +1 more source

Deep sequence analysis of non-small cell lung cancer: Integrated analysis of gene expression, alternative splicing, and single nucleotide variations in lung adenocarcinomas with and without oncogenic KRAS mutations [PDF]

, 2012
KRAS mutations are highly prevalent in non-small cell lung cancer (NSCLC), and tumors harboring these mutations tend to be aggressive and resistant to chemotherapy.
David Rossell, Xiaojia eTang, Tang, Xiaojia, Hossain, Asif, Rossell, David, Asha Nair, Jean-Pierre Kocher, Chai, High-Seng, Michael P. Walsh, Asif eHossain, Yan W. Asmann, Baker, Tiffany R., Edith A. Perez, Kalari, Krishna R., Necela, Brian M., Alan P. Fields, High Seng eChai, Xiaojia Tang, Alan P Fields, Leontovich, Alexey A., Carr, Jennifer, Thompson, E. Aubrey, Saurabh Baheti, Kocher, Jean-Pierre, Tiffany R Baker, Younkin, Curtis S., Walsh, Michael P., E. Aubrey Thompson, Jennifer M. Kachergus, Jennifer M Kachergus, Jennifer M Carr, Fields, Alan P., Asmann, Yan W., Krishna R. Kalari, E. Aubrey eThompson, Kachergus, Jennifer M., Steven N Hart, Krishna R Kalari, Jennifer M. Carr, David eRossell, Saurabh eBaheti, Steven N. Hart, Curtis S. Younkin, Zhifu eSun, Edith A Perez, Tiffany Baker, Brian M Necela, Alexey A. Leontovich, Nair, Asha, Perez, Edith A., Sun, Zhifu, Reisman, David N., Jean-Pierre eKocher, Asha eNair, Hart, Steven N., Yan W Asmann, Zhifu Sun, Michael eWalsh, Baheti, Saurabh, David N Reisman, Brian M. Necela, High-Seng Chai, David N. Reisman, Alexey A Leontovich, Asif Hossain, Curtis S Younkin   +65 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Gene length is a pivotal feature to explain disparities in transcript capture between single transcriptome techniques

Frontiers in Bioinformatics, 2023
The scale and capability of single-cell and single-nucleus RNA-sequencing technologies are rapidly growing, enabling key discoveries and large-scale cell mapping operations.
Ricardo R. Pavan, Fabiola Diniz, Samir El-Dahr, Giovane G. Tortelote   +3 more
doaj   +1 more source

Clustering of single-cell RNA sequencing datasets with the hierarchical Dirichlet process [PDF]

Single-cell sequencing is a powerful technology that allows researchers to understand and analyse genetic and genomic information of individual cells within a heterogeneous population. This thesis focuses on two types of single-cell data, namely, 1) high-
Liu, Jinlu
core   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Single-cell transcriptome sequencing: recent advances and remaining challenges [version 1; referees: 2 approved]

F1000Research, 2016
Single-cell RNA-sequencing methods are now robust and economically practical and are becoming a powerful tool for high-throughput, high-resolution transcriptomic analysis of cell states and dynamics.
Serena Liu, Cole Trapnell
doaj   +1 more source

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

FEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa, Akira Hattori, Masafumi Tsujimoto, Toshihide Kobayashi   +3 more
wiley   +1 more source