@article {127, title = {xcore: an R package for inference of gene expression regulators.}, journal = {BMC Bioinformatics}, volume = {24}, year = {2023}, month = {2023 Jan 11}, pages = {14}, abstract = {

BACKGROUND: Elucidating the Transcription Factors (TFs) that drive the gene expression changes in a given experiment is a common question asked by researchers. The existing methods rely on the predicted Transcription Factor Binding Site (TFBS) to model the changes in the motif activity. Such methods only work for TFs that have a motif and assume the TF binding profile is the same in all cell types.

RESULTS: Given the wealth of the ChIP-seq data available for a wide range of the TFs in various cell types, we propose that gene expression modeling can be done using ChIP-seq "signatures" directly, effectively skipping the motif finding and TFBS prediction steps. We present xcore, an R package that allows TF activity modeling based on ChIP-seq signatures and the user{\textquoteright}s gene expression data. We also provide xcoredata a companion data package that provides a collection of preprocessed ChIP-seq signatures. We demonstrate that xcore leads to biologically relevant predictions using transforming growth factor beta induced epithelial-mesenchymal transition time-courses, rinderpest infection time-courses, and embryonic stem cells differentiated to cardiomyocytes time-course profiled with Cap Analysis Gene Expression.

CONCLUSIONS: xcore provides a simple analytical framework for gene expression modeling using linear models that can be easily incorporated into differential expression analysis pipelines. Taking advantage of public ChIP-seq databases, xcore can identify meaningful molecular signatures and relevant ChIP-seq experiments.

}, keywords = {Animals, Binding Sites, Chromatin Immunoprecipitation, Chromatin Immunoprecipitation Sequencing, Gene Expression, Protein Binding, Transcription Factors}, issn = {1471-2105}, doi = {10.1186/s12859-022-05084-0}, author = {Migda{\l}, Maciej and Arakawa, Takahiro and Takizawa, Satoshi and Furuno, Masaaki and Suzuki, Harukazu and Arner, Erik and Winata, Cecilia Lanny and Kaczkowski, Bogumi{\l}} } @article {115, title = {Targeted RNA Knockdown by a Type III CRISPR-Cas Complex in Zebrafish.}, journal = {CRISPR J}, volume = {3}, year = {2020}, month = {2020 08}, pages = {299-313}, abstract = {

RNA interference is a powerful experimental tool for RNA knockdown, but not all organisms are amenable. Here, we provide a proof of principle demonstration that a type III Csm effector complex can be used for programmable mRNA transcript degradation in eukaryotes. In zebrafish, Csm complex (StCsm) proved effective for knockdown of maternally expressed in germ cells of fish. It also led to significant, albeit less drastic, fluorescence reduction at one day postfertilization in and ( fish that express zygotically. StCsm targeted against the endogenous elicited the characteristic one-eyed phenotype with greater than 50\% penetrance, and hence with similar efficiency to morpholino-mediated knockdown. We conclude that Csm-mediated knockdown is very efficient for maternal transcripts and can also be used for mixed maternal/early zygotic and early zygotic transcripts, in some cases reaching comparable efficiency to morpholino-based knockdown without significant off-target effects.

}, issn = {2573-1602}, doi = {10.1089/crispr.2020.0032}, author = {Fricke, Thomas and Smalakyte, Dalia and Lapinski, Maciej and Pateria, Abhishek and Weige, Charles and Pastor, Michal and Kolano, Agnieszka and Winata, Cecilia and Siksnys, Virginijus and Tamulaitis, Gintautas and Bochtler, Matthias} }