Searching journal content for articles similar to Vihinen 24 (2): 356.

Displaying results 1-10 of 753
For checked items
  1. ...Lake Malawi cichlid pan graph reveals extensive structural variation driven by transposable elements Fu Xiang Quah1,2, Miguel Vasconcelos Almeida1, Moritz Blumer2, Chengwei Ulrika Yuan1,2, Bettina Fischer2, Kirsten See1, Ben Jackson2, Richard Zatha3, Bosco Rusuwa3, George F. Turner4, M. Emília...
  2. ...genetic variation impacts transcription factor (TF) binding remains a major challenge, limiting our ability to model disease-associated variants. Here, we used a highly controlled system of F1 crosses with extensive genetic diversity to profile allele-specific binding of four TFs at several time points...
  3. ...or duplication of segments of DNA. Amplification of segments of DNA sequence, a type of copy number variation (CNV), is an important source of rapid adaptive evolution. In the short term, gene amplification can result in increased gene expression, which provides a selective advantage facilitating adaptation...
  4. ...visualized with Circos (Krzywinski et al. 2009).Functional enrichment of genesGene functions and Gene Ontology (GO) annotations were retrieved with eggNOG-mapper (Cantalapiedra et al. 2021). Because L. migratoria is not a model organism, a local OrgDb database was constructed based on eggNOG-mapper results...
  5. ...Table S9). When we evaluated the 284 Disease Ontology annotations associated with high-fat diet response in our analysis, Alzheimer's disease was the most frequent, followed by end-stage renal disease, asthma, hepatocellular carcinoma, hypertension and obesity, and other inflammatory diseases...
  6. ...and inactive ERBS did (Fig. 1G).To assess the correlation between STARR-seq-based ERBS annotation and enhancer activity within the native chromatin context, we analyzed GRO-seq signal (GEO; GSE27463) (Hah et al. 2011) at ERBS following E2 stimulation, as enhancer transcription is a well-established readout...
  7. ...why the transcriptome shows signs of aging in some cell types but not others. Through analysis of mouse single-cell transcriptome data across diverse tissues and ages, we find that cellular age explains a large proportion of the variation in the age-related increase in transcriptome variance. We...
  8. ...not distinguish between pre-mRNA and mRNA when estimating gene expression, and variation in their relative abundances across cell types has received limited attention. These gaps are especially important given that incorporating pre-mRNA has become commonplace for both assays, despite known gene length bias...
  9. ...- and macroevolutionary processes. However, the determinants of recombination rate variation in holocentric organisms are poorly understood, in particular in Lepidoptera (moths and butterflies). The wood white butterfly (Leptidea sinapis) shows considerable intraspecific variation in chromosome numbers and is a suitable...
  10. ...HGR as a powerful computational instrument for efficient and accurate cell annotation. Moreover, we illustrate the versatility of scHGR in supporting downstream analyses, such as differential gene expression (DEG) analysis, subtype revealing, Gene Ontology (GO) enrichment, and cell communication inference...
For checked items

Preprint Server