Dataset Information

Cryo-EM dataset of mutant p97R155H-p47 in presence of ATPγS collected using Thermo Fisher/FEI Titan Krios TEM Gatan K2 Summit DED camera

ABSTRACT:

SUBMITTER: Purbasha Nandi

PROVIDER: EMPIAR-10920 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Structural and Functional Analysis of Disease-Linked p97 ATPase Mutant Complexes.

Nandi Purbasha P Li Shan S Columbres Rod Carlo A RCA Wang Feng F Williams Dewight R DR Poh Yu-Ping YP Chou Tsui-Fen TF Chiu Po-Lin PL

International journal of molecular sciences 20210728 15

IBMPFD/ALS is a genetic disorder caused by a single amino acid mutation on the p97 ATPase, promoting ATPase activity and cofactor dysregulation. The disease mechanism underlying p97 ATPase malfunction remains unclear. To understand how the mutation alters the ATPase regulation, we assembled a full-length p97<sup>R155H</sup> with its p47 cofactor and first visualized their structures using single-particle cryo-EM. More than one-third of the population was the dodecameric form. Nucleotide presence ...[more]

PMID: 34360842

Similar Datasets

Project description:BackgroundDespite the increasing use of RNAseq for transcriptome analysis, microarrays remain a widely-used methodology for genomic studies. The latest generation of Affymetrix/Thermo-Fisher microarrays, the ClariomD/XTA and ClariomS array, provide a sensitive and facile method for complex transcriptome expression analysis. However, existing methods of analysis for these high-density arrays do not leverage the statistical power contained in having multiple oligonucleotides representing each gene/exon, but rather summarize probes into a single expression value. We previously developed a methodology, the Sscore algorithm, for probe-level identification of differentially expressed genes (DEGs) between treatment and control samples with oligonucleotide microarrays. The Sscore algorithm was validated for sensitive detection of DEGs by comparison with existing methods. However, the prior version of the Sscore algorithm and a R-based implementation software, sscore, do not function with the latest generations of Affymetrix/Fisher microarrays due to changes in microarray design that eliminated probes previously used for estimation of non-specific binding.ResultsHere we describe the GCSscore algorithm, which utilizes the GC-content of a given oligonucleotide probe to estimate non-specific binding using antigenomic background probes found on new generations of arrays. We implemented this algorithm in an improved GCSscore R package for analysis of modern oligonucleotide microarrays. GCSscore has multiple methods for grouping individual probes on the ClariomD/XTA chips, providing the user with differential expression analysis at the gene-level and the exon-level. By utilizing the direct probe-level intensities, the GCSscore algorithm was able to detect DEGs under stringent statistical criteria for all Clariom-based arrays. We demonstrate that for older 3'-IVT arrays, GCSscore produced very similar differential gene expression analysis results compared to the original Sscore method. However, GCSscore functioned well for both the ClariomS and ClariomD/XTA newer microarrays and outperformed existing analysis approaches insofar as the number of DEGs and cognate biological functions identified. This was particularly striking for analysis of the highly complex ClariomD/XTA based arrays.ConclusionsThe GCSscore package represents a powerful new application for analysis of the newest generation of oligonucleotide microarrays such as the ClariomS and ClariomD/XTA arrays produced by Affymetrix/Fisher.

Dataset Information

Cryo-EM dataset of mutant p97R155H-p47 in presence of ATPγS collected using Thermo Fisher/FEI Titan Krios TEM Gatan K2 Summit DED camera

Publications

Structural and Functional Analysis of Disease-Linked p97 ATPase Mutant Complexes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets