10 research outputs found
MOESM10 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 10: Table S7. LINE-1 subclass elements identification. Table represents the number of different types of subclasses of LINE-1 repeat elements associated with HILS1 and percentage of HILS1 occupancy to each subclass with respect to the total number of each in the rat genome
MOESM3 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 3: Table S2. Chromosome-wise fold enrichment of HILS1 peaks. Excel file represents the fold enrichment values for HILS1 peaks across all chromosomes of the rat genome
MOESM13 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 13: Table S9. PCR primer sequences used for ChIP-qPCR analysis
MOESM6 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 6: Table S5. Annotation of the overlapping peaks using HOMER. Overlapping peaks were re-annotated using HOMERv4.7 with newly defined overlap peak lengths and table represents the chromosome-wise number of peaks associated with specific genomic regions like intergenic, intron, exon, 3′UTR, TTS, and promoter-TSS
MOESM9 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 9: Figure 3B. Chr 17-20 and ChrX. Chromosome-wise distribution of rat linker histone HILS1. Each vertical line on the chromosomal map represents location of enriched regions as viewed in UCSC genome browser
MOESM7 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 7: Table S6. Repeat elements identification. Table represents the number of different types of repeat elements associated with HILS1
MOESM4 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 4: Table S3. Chromosome-wise peak length of HILS1 peaks. Excel file represents the length of HILS1 peaks across the chromosomes confirming their broad natur
MOESM1 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 1: Figure S1. Mass spectrometric analysis of HILS1 IP bands confirms the specificity of HILS1 antibody. Specificity of the antibody raised against CTD of HILS1 was confirmed by the mass spec analysis of the immunoprecipitated bands. Results represent the peptides identified from 25 kDa and ~15kDa bands detected in western blot in both input and immunoprecipitated lane as represented in Figure 5A. Note that the prominent 25kDa band is the full-length form of HILS1, whereas ~15kDa showed different migration in HILS1 IP lane in comparison with input, which is the cleaved product. Coverage represents the percentage of sequence matching with peptides found in the analysis
MOESM5 of Spermatid-specific linker histone HILS1 is a poor condenser of DNA and chromatin and preferentially associates with LINE-1 elements
Additional file 5: Table S4. ChIP peaks (32731) overlapping with UCSC CpG islands. List of CpG islands were obtained from UCSC table browser and used to find overlaps with 32731 HILS1 ChIP peaks using Bed tools Intersect
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways