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Alain Laederach

Researcher at University of North Carolina at Chapel Hill

Publications -  95
Citations -  4724

Alain Laederach is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: RNA & Gene. The author has an hindex of 34, co-authored 88 publications receiving 4078 citations. Previous affiliations of Alain Laederach include New York State Department of Health & University of Neuchâtel.

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DissertationDOI

Protein-carbohydrate and protein-protein interactions: using models to better understand and predict specific molecular recognition

TL;DR: The aim of this monograph is to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.
Posted ContentDOI

Cigarette Smoking-Associated Isoform Switching and 3-prime UTR Lengthening Via Alternative Polyadenylation

TL;DR: In this article, the association of current smoking with differential expression of genes and isoforms and differential usage of isoform and exons was assessed, where current smokers were found to have higher expression and use of isoforms with markedly longer 3′ UTRs.
Journal ArticleDOI

Structural analysis of MALAT1 long noncoding RNA in cells and in evolution

TL;DR: In this paper , the in-cell and cell-free structures of the full-length human and green monkey (Chlorocebus sabaeus) MALAT1 transcripts in multiple tissue-derived cell lines using SHAPE chemical probing were investigated.
Posted ContentDOI

Structural conservation of MALAT1 long non-coding RNA in cells and in evolution

TL;DR: The uniformity of the structural conservation across the entire transcript suggests that, despite seeing co-variation signals only in the three-helix junction of the lncRNA, the rest of the transcript’s structure is remarkably conserved at least in primates and across multiple cell types and conditions.
Posted ContentDOI

Quantitative prediction of variant effects on alternative splicing using endogenous pre-messenger RNA structure probing

TL;DR: In this paper, the authors used a novel Mutational Profiling (-MaP) methodology to obtain highly reproducible endogenous precursor and mature mRNA structural probing data in vivo, and used these data to estimate Boltzmann suboptimal ensembles, and predict the structural consequences of mutations on precursor mRNA structure.