Julien Gagneur

Dr. Julien Gagneur

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 April 2019 in Nature Reviews Genetics
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GEGökcen Eraslan
Gökcen Eraslan
ŽAŽiga Avsec
Žiga Avsec
JGJulien Gagneur
Julien Gagneur
FTFabian J. Theis
Fabian J. Theis

25 January 2009 in Nature
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Journal Article
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ZXZhenyu Xu
Zhenyu Xu
WWWu Wei
Wu Wei
JGJulien Gagneur
Julien Gagneur
FPFabiana Perocchi
Fabiana Perocchi
SCSandra Clauder-Münster
Sandra Clauder-Münster
LSLars M. Steinmetz
Lars M. Steinmetz

25 January 2004 in Nature Cell Biology
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Journal Article
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TBTewis Bouwmeester
Tewis Bouwmeester
ABAngela Bauch
Angela Bauch
HRHeinz Ruffner
Heinz Ruffner
PAPierre-Olivier Angrand
Pierre-Olivier Angrand
GBGiovanna Bergamini
Giovanna Bergamini
GSGiulio Superti-Furga
Giulio Superti-Furga

1 February 2019 in Molecular Systems Biology
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DWDongxue Wang
Dongxue Wang
BEBasak Eraslan
Basak Eraslan
TWThomas Wieland
Thomas Wieland
BHBjörn Hallström
Björn Hallström
THThomas Hopf
Thomas Hopf
BKBernhard Kuster
Bernhard Kuster
Genome‐, transcriptome‐ and proteome‐wide measurements provide insights into how biological systems are regulated. However, fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we generated a quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project representing human genes by 18,072 transcripts and 13,640 proteins including 37 without prior protein‐level evidence. The analysis revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs, that few proteins show tissue‐specific expression, that strong differences between mRNA and protein quantities within and across tissues exist and that protein expression is often more stable across tissues than that of transcripts. Only 238 of 9,848 amino acid variants found by exome sequencing could be confidently detected at the protein level showing that proteogenomics remains challenging, needs better computational methods and requires rigorous validation. Many uses of this resource can be envisaged including the study of gene/protein expression regulation and biomarker specificity evaluation.

18 February 2021 in Nature Genetics
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ŽAŽiga Avsec
Žiga Avsec
MWMelanie Weilert
Melanie Weilert
ASAvanti Shrikumar
Avanti Shrikumar
SKSabrina Krueger
Sabrina Krueger
AAAmr Alexandari
Amr Alexandari
JZJulia Zeitlinger
Julia Zeitlinger

3 June 2016 in Science
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BSBjörn Schwalb
Björn Schwalb
MMMargaux Michel
Margaux Michel
BZBenedikt Zacher
Benedikt Zacher
KFKatja Frühauf
Katja Frühauf
CDCarina Demel
Carina Demel
PCPatrick Cramer
Patrick Cramer
TT-Seq maps a transient transcriptome: RNA expression is related to protein abundance and cellular function. However, the amounts of RNA generated at any one time-point have been difficult to determine. Schwalb et al. developed a method, transient transcriptome sequencing (TT-Seq), to collect and sequence all RNA segments synthesized over 5 minutes. Because 5 minutes is not long enough to fully degrade even the most transient RNA, this method can detect the synthesis of most RNA without bias. Applying this method to human K562 cells, TT-Seq detected thousands of noncoding transcripts, providing a snapshot of RNA synthesis rates and RNA half-lives, and full-length maps of short-lived RNAs such as enhancers and short intergenic noncoding RNAs. Science , this issue p. 1225