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Nico Lansu

Researcher at Utrecht University

Publications -  19
Citations -  879

Nico Lansu is an academic researcher from Utrecht University. The author has contributed to research in topics: Cancer & Gene. The author has an hindex of 10, co-authored 16 publications receiving 712 citations. Previous affiliations of Nico Lansu include American Academy of Arts and Sciences.

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Combined sequence-based and genetic mapping analysis of complex traits in outbred rats

Amelie Baud, +70 more
- 26 May 2013 - 
TL;DR: It is shown that the extent and spatial pattern of variation in inbred rats differ substantially from those of inbred mice and that the genetic variants in orthologous genes rarely contribute to the same phenotype in both species.
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Primary Colorectal Cancers and Their Subsequent Hepatic Metastases Are Genetically Different: Implications for Selection of Patients for Targeted Treatment

TL;DR: The study indicates that the genetic characteristics of the hepatic metastases are different from those of the primary CRC tumor, and the choice of treatment in studies investigating targeted therapies should ideally be based on the genetic properties of the metastasis rather than on those ofThe primary tumor.
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Large-Scale Identification of Coregulated Enhancer Networks in the Adult Human Brain

TL;DR: This work surveys the epigenomic landscape of promoters and cis-regulatory elements in 136 regions of the adult human brain, identifying 83,553 promoter-distal H3K27ac-enriched regions showing global characteristics of brain enhancers and using these data to understand the relevance of noncoding genomic variations previously linked to Parkinson's disease incidence.
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Multiplexed array-based and in-solution genomic enrichment for flexible and cost-effective targeted next-generation sequencing

TL;DR: An efficient protocol for parallel library preparation and targeted enrichment of pooled multiplexed bar-coded samples for targeted resequencing of large sample collections, and whole-exome or custom mini-genome sequencing projects is presented.
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Integrated genome-wide analysis of transcription factor occupancy, RNA polymerase II binding and steady-state RNA levels identify differentially regulated functional gene classes

TL;DR: It is demonstrated that integrated analysis of genome-wide TF occupancy, Pol II binding and steady-state RNA levels provide important insights in gene regulatory mechanisms and demonstrate a complementary value in Pol II chip-seq and RNA-seq approaches for better understanding of gene expression regulation.