Results 81 to 90 of about 2,498,124 (314)

Massively parallel digital transcriptional profiling of single cells

Nature Communications, 2016
Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample.
Grace X. Y. Zheng, Jessica M. Terry, Phillip Belgrader, Paul Ryvkin, Zachary Bent, Ryan Wilson, S. Ziraldo, Tobias Daniel Wheeler, Geoffrey P. McDermott, Junjie Zhu, Mark T. Gregory, Joe Shuga, Luz Montesclaros, Jason G. Underwood, Donald A. Masquelier, Stefanie Y. Nishimura, Michael Schnall-Levin, Paul Wyatt, Christopher Hindson, R. Bharadwaj, Alex Wong, Kevin Ness, Lan W. Beppu, H. Deeg, Christopher McFarland, Keith R. Loeb, Keith R. Loeb, W. J. Valente, W. J. Valente, Nolan G. Ericson, Emily A. Stevens, J. Radich, T. Mikkelsen, B. Hindson, J. Bielas   +34 more
semanticscholar   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data

Cancer Informatics, 2009
Motivation: Identifying genes with bimodal expression patterns from large-scale expression profiling data is an important analytical task. Model-based clustering is popular for this purpose. That technique commonly uses the Bayesian information criterion
Jing Wang, Sijin Wen, W. Fraser Symmans, Lajos Pusztai, Kevin R. Coombes   +4 more
doaj  

Genomic identification and expression profiling of DMP genes in oat (Avena sativa) elucidate their responsiveness to seed aging

BMC Genomics
Background The Domain of unknown function 679 membrane protein (DMP) family, which is unique to plants, plays a crucial role in reproductive development, stress response and aging.
Yuan Ma, Huan Liu, Jinglong Wang, Guiqin Zhao, Kuiju Niu, Xiangrui Zhou, Ran Zhang, Ruirui Yao   +7 more
doaj   +1 more source

Maturation-associated gene expression profiles during normal human bone marrow erythropoiesis [PDF]

, 2019
Fabiana V. Mello, Marcelo Gerardin Poirot Land, Elaine Sobral da Costa, Cristina Teodósio, María-Luz Sánchez, Paloma Bárcena, Rodrigo Tosta Peres, Carlos E. Pedreira, Liliane R. Alves, Alberto Órfão   +9 more
openalex   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Optimization of gene expression microarray protocol for formalin-fixed paraffin-embedded tissues

Genomics Data, 2016
Formalin-fixed paraffin-embedded (FFPE) tissue is a widely available clinical specimen for retrospective studies. The possibility of long-term clinical follow-up of FFPE samples makes them a valuable source to evaluate links between molecular and ...
Nevin Belder, Öznur Coşkun, Beyza Doğanay Erdoğan, Berna Savaş, Arzu Ensari, Hilal Özdağ   +5 more
doaj   +1 more source

Supplementary Table 3 from Combined Gene Expression Profiling and RNAi Screening in Clear Cell Renal Cell Carcinoma Identify PLK1 and Other Therapeutic Kinase Targets

, 2023
Yan Ding, Dan Huang, Zhongfa Zhang, J. G. Smith, David Petillo, Brendan D. Looyenga, Kristin Feenstra, Jeffrey P. MacKeigan, Kyle A. Furge, Bin Tean Teh   +9 more
openalex   +1 more source

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias, Ana Oitabén, Sonia Zumalave, Bernardo Rodriguez‐Martin, María Gallardo‐Gómez, Martín Santamarina, Ana Pequeño‐Valtierra, Laura Juaneda‐Magdalena, Ramón García‐Escudero, José Luis López‐Cedrún, Máximo Fraga, José M. C. Tubio, Mónica Martínez‐Fernández   +12 more
wiley   +1 more source

Integrative gene expression profiling reveals that dysregulated triple microRNAs confer paclitaxel resistance in non-small cell lung cancer via co-targeting MAPT

Cancer Management and Research, 2019
Yuanming Cai,1,* Ruxue Jia,2,3,* Haozhe Xiong,4 Qun Ren,2,3 Weimin Zuo,2,3 Tingting Lin,2,3 Rong Lin,2 Yan Lei,2 Ping Wang,2 Huiyue Dong,2 Hu Zhao,2,3 Ling Zhu,3 Yunfeng Fu,3 Zhiyong Zeng,5 Wei Zhang,6 Shuiliang Wang2,31Undergraduate Grade 2015, The 5th ...
Cai Y, Jia R, Xiong H, Ren Q, Zuo W, Lin T, Lin R, Lei Y, Wang P, Dong H, Zhao H, Zhu L, Fu Y, Zeng Z, Zhang W, Wang S   +15 more
doaj