Jean Hausser

Jean Hausser

Auto-generated profile, based on publicly available information

Jean Hausser

Karolinska Institute & SciLifeLab

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

View All Publications
1 April 2010 in Cell
Verified
Journal Article
Closed access
MHMarkus Hafner
Markus Hafner
MLMarkus Landthaler
Markus Landthaler
LBLukas Burger
Lukas Burger
MKMohsen Khorshid
Mohsen Khorshid
JHJean Hausser
Jean Hausser
TTThomas Tuschl
Thomas Tuschl

8 June 2011 in Nature
Verified
Journal Article
Closed access
MTMirko Trajkovski
Mirko Trajkovski
JHJean Hausser
Jean Hausser
JSJürgen Soutschek
Jürgen Soutschek
BBBal Bhat
Bal Bhat
AAAkinc Akin
Akinc Akin
MSMarkus Stoffel
Markus Stoffel

7 April 2009 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
MPMatthew N. Poy
Matthew N. Poy
JHJean Hausser
Jean Hausser
MTMirko Trajkovski
Mirko Trajkovski
MBMatthias Braun
Matthias Braun
SCStephan Collins
Stephan Collins
MSMarkus Stoffel
Markus Stoffel
Altered growth and development of the endocrine pancreas is a frequent cause of the hyperglycemia associated with diabetes. Here we show that microRNA-375 ( miR-375 ), which is highly expressed in pancreatic islets, is required for normal glucose homeostasis. Mice lacking miR-375 ( 375KO ) are hyperglycemic, exhibit increased total pancreatic α-cell numbers, fasting and fed plasma glucagon levels, and increased gluconeogenesis and hepatic glucose output. Furthermore, pancreatic β-cell mass is decreased in 375KO mice as a result of impaired proliferation. In contrast, pancreatic islets of obese mice ( ob / ob ), a model of increased β-cell mass, exhibit increased expression of miR-375 . Genetic deletion of miR-375 from these animals ( 375 / ob ) profoundly diminished the proliferative capacity of the endocrine pancreas and resulted in a severely diabetic state. Bioinformatic analysis of transcript data from 375KO islets revealed that miR-375 regulates a cluster of genes controlling cellular growth and proliferation. These data provide evidence that miR-375 is essential for normal glucose homeostasis, α- and β-cell turnover, and adaptive β-cell expansion in response to increasing insulin demand in insulin resistance.

15 July 2014 in Nature Reviews Genetics
Verified
Journal Article
Closed access
JHJean Hausser
Jean Hausser
MZMihaela Zavolan
Mihaela Zavolan

15 May 2011 in Nature Methods
Verified
Journal Article
Closed access
PDF file
SKShivendra Kishore
Shivendra Kishore
LJLukasz Jaskiewicz
Lukasz Jaskiewicz
LBLukas Burger
Lukas Burger
JHJean Hausser
Jean Hausser
MKMohsen Khorshid
Mohsen Khorshid
MZMihaela Zavolan
Mihaela Zavolan

18 January 2013 in Genome Research
Verified
Journal Article
Open access
PDF file
JHJean Hausser
Jean Hausser
ASAfzal Pasha Syed
Afzal Pasha Syed
BBBiter Bilen
Biter Bilen
MZMihaela Zavolan
Mihaela Zavolan
Most of what is presently known about how miRNAs regulate gene expression comes from studies that characterized the regulatory effect of miRNA binding sites located in the 3′ untranslated regions (UTR) of mRNAs. In recent years, there has been increasing evidence that miRNAs also bind in the coding region (CDS), but the implication of these interactions remains obscure because they have a smaller impact on mRNA stability compared with miRNA-target interactions that involve 3′ UTRs. Here we show that miRNA-complementary sites that are located in both CDS and 3′-UTRs are under selection pressure and share the same sequence and structure properties. Analyzing recently published data of ribosome-protected fragment profiles upon miRNA transfection from the perspective of the location of miRNA-complementary sites, we find that sites located in the CDS are most potent in inhibiting translation, while sites located in the 3′ UTR are more efficient at triggering mRNA degradation. Our study suggests that miRNAs may combine targeting of CDS and 3′ UTR to flexibly tune the time scale and magnitude of their post-transcriptional regulatory effects.