OffRisk: a docker image for annotating CRISPR off-target sites in the human genome

Summary

The CRISPR-Cas9 system has been adapted to achieve targeted genome editing as well as transcriptional control by customizing 20-nt guide RNA (gRNA) molecules for desired regions in the target genome. Designing gRNAs must consider nonspecific and unintended binding, known as off-targets, since these may have potentially harmful effects. To assist in gRNA design, we have developed OffRisk. This Docker-based tool annotates off-target sites in the human genome and assigns them a potential risk label by incorporating functional and regulatory information at different molecular levels.

Availability and implementation

OffRisk is available at https://github.com/IsanaVekslerLublinsky/OffRisk and https://github.com/IsanaVekslerLublinsky/OffRisk-ui (including code, user guide, docker installation guide, and running examples).All processed datasets are available at https://zenodo.org/record/8289271.

Protein family neighborhood analyzer-ProFaNA

Background

Functionally related genes are well known to be often grouped in close vicinity in the genomes, particularly in prokaryotes. Notwithstanding the diverse evolutionary mechanisms leading to this phenomenon, it can be used to predict functions of uncharacterized genes.

Methods

Here, we provide a simple but robust statistical approach that leverages the vast amounts of genomic data available today. Considering a protein domain as a functional unit, one can explore other functional units (domains) that significantly often occur within the genomic neighborhoods of the queried domain. This analysis can be performed across different taxonomic levels. Provisions can also be made to correct for the uneven sampling of the taxonomic space by genomic sequencing projects that often focus on large numbers of very closely related strains, e.g., pathogenic ones. To this end, an optional procedure for averaging occurrences within subtaxa is available.

Results

Several examples show this approach can provide useful functional predictions for uncharacterized gene families, and how to combine this information with other approaches. The method is made available as a web server at http://bioinfo.sggw.edu.pl/neighborhood_analysis.

SINE Insertion in the Pig Carbonic Anhydrase 5B (CA5B) Gene Is Associated with Changes in Gene Expression and Phenotypic Variation

Transposons are genetic elements that are present in mammalian genomes and occupy a large proportion of the pig genome, with retrotransposons being the most abundant. In a previous study, it was found that a SINE retrotransposon was inserted in the 1^st intron of the CA5B gene in pigs, and the present study aimed to investigate the SINE insertion polymorphism in this gene in different pig breeds. Polymerase chain reaction (PCR) was used to confirm the polymorphism in 11 pig breeds and wild boars), and it was found that there was moderate polymorphism information content in 9 of the breeds. Further investigation in cell experiments revealed that the 330 bp SINE insertion in the RIP-CA5B site promoted expression activity in the weak promoter region of this site. Additionally, an enhancer verification vector experiment showed that the 330 bp SINE sequence acted as an enhancer on the core promoter region upstream of the CA5B gene region. The expression of CA5B in adipose tissue (back fat and leaf fat) in individuals with the (SINE^+/+) genotype was significantly higher than those with (SINE^+/-) and (SINE^-/-) genotypes. The association analysis revealed that the (SINE^+/+) genotype was significantly associated with a higher back fat thickness than the (SINE^-/-) genotype. Moreover, it was observed that the insertion of SINE at the RIP-CA5B site carried ATTT repeats, and three types of (ATTT) repeats were identified among different individuals/breeds (i.e., (ATTT)₄, (ATTT)₆ and (ATTT)₉). Overall, the study provides insights into the genetic basis of adipose tissue development in pigs and highlights the role of a SINE insertion in the CA5B gene in this process.

The NAC transcription factor family in Eucommia ulmoides: Genome-wide identification, characterization, and network analysis in relation to the rubber biosynthetic genes

The NAC transcription factor family is a large plant gene family, participating in plant growth and development, secondary metabolite synthesis, biotic and abiotic stresses responses, and hormone signaling. Eucommia ulmoides is a widely planted economic tree species in China that can produce trans-polyisoprene: Eucommia rubber (Eu-rubber). However, genome-wide identification of the NAC gene family has not been reported in E. ulmoides. In this study, 71 NAC proteins were identified based on genomic database of E. ulmoides. Phylogenetic analysis showed that the EuNAC proteins were distributed in 17 subgroups based on homology with NAC proteins in Arabidopsis, including the E. ulmoides-specific subgroup Eu_NAC. Gene structure analysis suggested that the number of exons varied from 1 to 7, and multitudinous EuNAC genes contained two or three exons. Chromosomal location analysis revealed that the EuNAC genes were unevenly distributed on 16 chromosomes. Three pairs of genes of tandem duplicates genes and 12 segmental duplications were detected, which indicated that segmental duplications may provide the primary driving force of expansion of EuNAC. Prediction of cis-regulatory elements indicated that the EuNAC genes were involved in development, light response, stress response and hormone response. For the gene expression analysis, the expression levels of EuNAC genes in various tissues were quite different. To explore the effect of EuNAC genes on Eu-rubber biosynthesis, a co-expression regulatory network between Eu-rubber biosynthesis genes and EuNAC genes was constructed, which indicated that six EuNAC genes may play an important role in the regulation of Eu-rubber biosynthesis. In addition, this six EuNAC genes expression profiles in E. ulmoides different tissues were consistent with the trend in Eu-rubber content. Quantitative real-time PCR analysis showed that EuNAC genes were responsive to different hormone treatment. These results will provide a useful reference for further studies addressing the functional characteristics of the NAC genes and its potential role in Eu-rubber biosynthesis.