Transcriptome

Laura Gouder et al.
Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations
Scientific Reports 2019, vol. 9, issue 1
doi: 10.1038/s41598-018-36993-x

Frédéric Hérault et al.
RNA-seq analysis of hepatic gene expression of common Pekin, Muscovy, mule and hinny ducks fed ad libitum or overfed
BMC Genomics 2019, vol. 20, issue 1
doi: 10.1186/s12864-018-5415-1

Tando Maduna et al.
Microglia Express Mu Opioid Receptor: Insights From Transcriptomics and Fluorescent Reporter Mice
Frontiers in Psychiatry 2019, vol. 9
doi: 10.3389/fpsyt.2018.00726

Marion Salou et al.
A common transcriptomic program acquired in the thymus defines tissue residency of MAIT and NKT subsets
The Journal of Experimental Medicine 2018, vol. 216, issue 1
doi: 10.1084/jem.20181483

Médine Benchouaia et al.
Comparative Transcriptomics Highlights New Features of the Iron Starvation Response in the Human Pathogen Candida glabrata
Frontiers in Microbiology 2018, vol. 9
doi: 10.3389/fmicb.2018.02689

Yann Pecrix et al.
Sunflower resistance to multiple downy mildew pathotypes revealed by recognition of conserved effectors of the oomycete Plasmopara halstedii
The Plant Journal 2018, vol. 97, issue 4
doi: 10.1111/tpj.14157

Mélanie Morin-Brureau et al.
Microglial phenotypes in the human epileptic temporal lobe
Brain 2018, vol. 141, issue 12
doi: 10.1093/brain/awy276

Philippe Silar et al.
A gene graveyard in the genome of the fungus Podospora comata
Molecular Genetics and Genomics 2018, vol. 294, issue 1
doi: 10.1007/s00438-018-1497-3

Kanchan Karmakar et al.
Transcriptomic Analysis With the Progress of Symbiosis in ‘Crack-Entry’ Legume Arachis hypogaea Highlights Its Contrast With ‘Infection Thread’ Adapted Legumes
Molecular Plant-Microbe Interactions 2018, vol. 32, issue 3
doi: 10.1094/mpmi-06-18-0174-r

Kaori Sakai et al.
Combining laser-assisted microdissection (LAM) and RNA-seq allows to perform a comprehensive transcriptomic analysis of epidermal cells of Arabidopsis embryo
Plant Methods 2018, vol. 14, issue 1
doi: 10.1186/s13007-018-0275-x