The Finland-United States Investigation of NIDDM Genetics (FUSION) Study - Islet Expression and Regulation by RNAseq and ATACseq

Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

J. Fadista, P. Vikman, E. O. Laakso, et al.. (2014). Proceedings of the National Academy of Sciences. Cited 437 times. https://doi.org/10.1073/pnas.1402665111

Genetic regulatory signatures underlying islet gene expression and type 2 diabetes

Arushi Varshney, L. Scott, R. Welch, et al.. (2017). Proceedings of the National Academy of Sciences. Cited 183 times. https://doi.org/10.1073/pnas.1621192114

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D

A. Viñuela, Arushi Varshney, M. van de Bunt, et al.. (2020). Nature Communications. Cited 115 times. https://doi.org/10.1038/s41467-020-18581-8

Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures

Vivek Rai, Daniel Quang, M. Erdos, et al.. (2019). Molecular Metabolism. Cited 102 times. https://doi.org/10.1016/j.molmet.2019.12.006

Multiomic Profiling Identifies cis-Regulatory Networks Underlying Human Pancreatic β Cell Identity and Function

Nathan Lawlor, E. Márquez, P. Orchard, et al.. (2019). Cell reports. Cited 69 times. https://doi.org/10.1016/j.celrep.2018.12.083

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

Luli S. Zou, M. Erdos, D. L. Taylor, et al.. (2017). BMC Genomics. Cited 47 times. https://doi.org/10.1186/s12864-018-4766-y

Single-cell transcriptomics from human pancreatic islets: sample preparation matters.

L. Bonnycastle, Derek E. Gildea, Tingfen Yan, et al.. (2019). Biology methods & protocols. Cited 25 times. https://doi.org/10.1093/biomethods/bpz019