Results 21 to 30 of about 591,228 (346)

Evaluation of methods to detect circular RNAs from single-end RNA-sequencing data

BMC Genomics, 2022
Background Circular RNA (circRNA), a class of RNA molecule with a loop structure, has recently attracted researchers due to its diverse biological functions and potential biomarkers of human diseases.
Manh Hung Nguyen, Ha-Nam Nguyen, Trung Nghia Vu   +2 more
doaj   +1 more source

Long non-coding RNA and circular RNA and coding RNA profiling of plasma exosomes of osteosarcoma by RNA seq

Scientific Data, 2023
Osteosarcoma (OS) is a primary bone tumor with high malignancy and the mechanism of hematogenous metastasis in OS is still not clear. The plasma exosomes derived from osteosarcoma play a key role in the process of tumor metastasis.
Yun Liu, Haijun Tang, Chong Li, Nenggan Huang, Jifeng Miao, Lin Chen, Kai Luo, Feicui Li, Shangyu Liu, Shijie Liao, Wenyu Feng, Xinli Zhan, Tianyu Xie, Wei Tang, Qingjun Wei, Jili Lu   +15 more
doaj   +1 more source

A map of bat virus receptors derived from single-cell multiomics

Scientific Data, 2022
Measurement(s) RNA-seq gene expression profiling assay • ATAC-Seq Technology Type(s) RNA-seq of coding RNA from single cells • Single cell ATAC-seq (cell index) Sample Characteristic - Organism Rhinolophus ...
Tianhang Lv, Xiaoshan Wang, Chao Yu, Zhifeng Wang, Rong Xiang, Linmiao Li, Yue Yuan, Yuhang Wang, Xiaoyu Wei, Yeya Yu, Xiangyang He, Libiao Zhang, Qiuting Deng, Peiying Wu, Yong Hou, Jinping Chen, Chuanyu Liu, Gary Wong, Longqi Liu   +18 more
doaj   +1 more source

Unleashing the power within short-read RNA-seq for plant research: Beyond differential expression analysis and toward regulomics

Frontiers in Plant Science, 2022
RNA-seq has become a state-of-the-art technique for transcriptomic studies. Advances in both RNA-seq techniques and the corresponding analysis tools and pipelines have unprecedently shaped our understanding in almost every aspects of plant sciences ...
Min Tu, Jian Zeng, Juntao Zhang, Guozhi Fan, Guangsen Song   +4 more
doaj   +1 more source

PANDORA-Seq unveils the hidden small noncoding RNA landscape in atherosclerosis of LDL receptor-deficient mice

Journal of Lipid Research, 2023
Small noncoding RNAs (sncRNAs) play diverse roles in numerous biological processes. While the widely used RNA sequencing (RNA-Seq) method has advanced sncRNA discovery, RNA modifications can interfere with the complementary DNA library construction ...
Rebecca Hernandez, Junchao Shi, Jingwei Liu, Xiuchun Li, Jake Wu, Linlin Zhao, Tong Zhou, Qi Chen, Changcheng Zhou   +8 more
doaj   +1 more source

Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens. [PDF]

, 2015
BackgroundTo determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed.MethodsTen CLL specimens and five normal peripheral blood CD19+ B ...
A Ameur, A Choudhury, A Hidalgo, A Rosenwald, AS Kamiguti, C Haslinger, C Soo, C Trapnell, C Trapnell, CJ David, DC Gilby, E Moon, E Moravcikova, F Colotta, F Talab, FC Kelleher, Gwen Jordaan, H Dohner, H Jiang, J Eswaran, J Vilpo, JC Marioni, JJ Dongen van, JP Venables, K Inada, K Zen, L Chen, L Wang, L Yang, LQ Zhang, M Crespo, M Rehli, M Shinohara, M Sultan, Matteo Pelegrini, ML Hermiston, MW Pfaffl, N Chiorazzi, NA Twine, O Bermudez, P Guglielmi, P Kapranov, PG Ferreira, Phillipp Nham, Q Huang, RA Higgins, RI Fernando, RK Gandhirajan, RN Damle, Ryan T. Phan, S Anders, S Courtois, S Decker, S Falt, S Ibrahim, S Liu, S Ma, S Ren, S Shen, Sanjai Sharma, SM Russell, SP Shah, SR Gunn, T Ormsby, TJ Hamblin, U Klein, V Quesada, Wei Liao, XS Puente, Y Pawitan, Y Pekarsky, Y Yu, Z Wang   +72 more
core   +1 more source

PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]

, 2019
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs.
Deshpande, Sumukh, England, Matthew, Shuttleworth, James, Taramonli, Sandy, Yang, Jianhua   +4 more
core   +4 more sources

RNA-SEQ: A GLANCE AT TECHNOLOGIES AND METHODOLOGIES

Acta Biológica Colombiana, 2015
RNA Sequencing (RNA-Seq) is a newly born tool that has revolutionized the post-genomic era. The data produced by RNA-Seq, sequencing technologies and use of bioinformatics are exploding rapidly.
Seyed Mehdi Jazayeri, Luz Marina Melgarejo-Muñoz, Hernán Mauricio Romero   +2 more
doaj   +1 more source

RNA-seq transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis [PDF]

, 2014
Bovine tuberculosis, caused by infection with Mycobacterium bovis, is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries.
Browne, JA, Gordon, SV, Gormley, E, Hokamp, K, Killick, KE, MacHugh, DE, Magee, DA, McLoughlin, KE, Meade, KG, Nalpas, NC, O'Farrelly, C, Park, SD, Rue-Albrecht, K   +12 more
core   +1 more source

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments [PDF]

, 2020
Background: In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost
Assefa, Alemu Takele, Thas, Olivier, Vandesompele, Jo   +2 more
core   +2 more sources