Gene expression profiling

Definition

Gene expression profiling is the determination of the pattern of genes expressed, at the level of transcription, under specific circumstances or in a specific cell to give a global picture of cellular function. Techniques to measure this include DNA microarrays which measure the relative activity of previously identified target genes, or sequencing technologies that allow profiling of all active genes.

Latest Research and Reviews

  • Research |

    An atlas of microRNA expression patterns and regulators is produced by deep sequencing of short RNAs in human and mouse cells.

    • Derek de Rie
    • , Imad Abugessaisa
    • , Tanvir Alam
    • , Erik Arner
    • , Peter Arner
    • , Haitham Ashoor
    • , Gaby Åström
    • , Magda Babina
    • , Nicolas Bertin
    • , A Maxwell Burroughs
    • , Ailsa J Carlisle
    • , Carsten O Daub
    • , Michael Detmar
    • , Ruslan Deviatiiarov
    • , Alexandre Fort
    • , Claudia Gebhard
    • , Daniel Goldowitz
    • , Sven Guhl
    • , Thomas J Ha
    • , Jayson Harshbarger
    • , Akira Hasegawa
    • , Kosuke Hashimoto
    • , Meenhard Herlyn
    • , Peter Heutink
    • , Kelly J Hitchens
    • , Chung Chau Hon
    • , Edward Huang
    • , Yuri Ishizu
    • , Chieko Kai
    • , Takeya Kasukawa
    • , Peter Klinken
    • , Timo Lassmann
    • , Charles-Henri Lecellier
    • , Weonju Lee
    • , Marina Lizio
    • , Vsevolod Makeev
    • , Anthony Mathelier
    • , Yulia A Medvedeva
    • , Niklas Mejhert
    • , Christopher J Mungall
    • , Shohei Noma
    • , Mitsuhiro Ohshima
    • , Mariko Okada-Hatakeyama
    • , Helena Persson
    • , Patrizia Rizzu
    • , Filip Roudnicky
    • , Pål Sætrom
    • , Hiroki Sato
    • , Jessica Severin
    • , Jay W Shin
    • , Rolf K Swoboda
    • , Hiroshi Tarui
    • , Hiroo Toyoda
    • , Kristoffer Vitting-Seerup
    • , Louise Winteringham
    • , Yoko Yamaguchi
    • , Kayoko Yasuzawa
    • , Misako Yoneda
    • , Noriko Yumoto
    • , Susan Zabierowski
    • , Peter G Zhang
    • , Christine A Wells
    • , Kim M Summers
    • , Hideya Kawaji
    • , Albin Sandelin
    • , Michael Rehli
    • , The FANTOM Consortium
    • , Yoshihide Hayashizaki
    • , Piero Carninci
    • , Alistair R R Forrest
    •  & Michiel J L de Hoon
  • Research | | open

    Insight into the genetic influence on the immune response is important for the understanding of interindividual variability in human pathologies. Here, the authors generate transcriptome data from human blood monocytes stimulated with various immune stimuli and provide a time-resolved response eQTL map.

    • Sarah Kim-Hellmuth
    • , Matthias Bechheim
    • , Benno Pütz
    • , Pejman Mohammadi
    • , Yohann Nédélec
    • , Nicholas Giangreco
    • , Jessica Becker
    • , Vera Kaiser
    • , Nadine Fricker
    • , Esther Beier
    • , Peter Boor
    • , Stephane E. Castel
    • , Markus M. Nöthen
    • , Luis B. Barreiro
    • , Joseph K. Pickrell
    • , Bertram Müller-Myhsok
    • , Tuuli Lappalainen
    • , Johannes Schumacher
    •  & Veit Hornung
  • Research |

    Using established high-throughput single-cell RNA-seq platforms, CITE-seq combines highly multiplexed, antibody-based protein marker quantification with unbiased transcriptome profiling for thousands of single cells.

    • Marlon Stoeckius
    • , Christoph Hafemeister
    • , William Stephenson
    • , Brian Houck-Loomis
    • , Pratip K Chattopadhyay
    • , Harold Swerdlow
    • , Rahul Satija
    •  & Peter Smibert

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