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32 results for “Hotspot mutations”

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zenodo44/100

Hotspot propensity across mutational processes

<p>Mutational hotspots identified by HotspotFinder from 49 cancer types analysed in: Arnedo-Pac C, Mui&ntilde;os F, Gonzalez-Perez A, Lopez-Bigas N. Hotspot propensity across mutational processes. Mol Syst Biol. 2023:1-22. doi: <a href="https://doi.org/10.1038/s44320-023-00001-w">doi.org/10.1038/s44320-023-00001-w</a></p> <p>Hotspots have been computed using somatic mutations in each cancer type, after excluding those overlapping cancer driver elements. HotspotFinder has been run with a threshold of 2 mutated samples per hotspot and using alternate specific mutations. For additional details, please check Materials and Methods and Appendix Note 1 in our manuscript.</p> <p>HotspotFinder code is available at: <a href="https://bitbucket.org/bbglab/hotspotfinder">bitbucket.org/bbglab/hotspotfinder</a></p> <p>Source code to reproduce this data can be found at: <a href="https://github.com/bbglab/hotspot_propensity">github.com/bbglab/hotspot_propensity</a></p> <p>Cancer type identifiers are listed as follows:</p> <ul> <li>Acute Lymphoblastic Leukemia (ALL)</li> <li>Acute Myeloid Leukemia (AML)</li> <li>Adrenocortical Carcinoma (ACC)</li> <li>Anal Cancer (AN)</li> <li>Basal Cell Carcinoma (BCC)</li> <li>Biliary Tract (BILIARY_TRACT)</li> <li>Bladder/Urinary Tract (BLADDER_URI)</li> <li>Bone/Soft Tissue (BONE_SOFT_TISSUE)</li> <li>Bowel (BOWEL)</li> <li>CNS/Brain (BRAIN)</li> <li>Cervix (CERVIX)</li> <li>Colorectal Adenocarcinoma (COADREAD)</li> <li>Cutaneous Melanoma (SKCM)</li> <li>Cutaneous Squamous Cell Carcinoma (CSCC)</li> <li>Endometrial Carcinoma (UCEC)</li> <li>Ependymoma (EPM)</li> <li>Esophageal cancer (ES)</li> <li>Esophagus/Stomach cancers (ESOPHA_STOMACH)</li> <li>Glioblastoma Multiforme (GBM)</li> <li>Head and Neck (HEAD_NECK)</li> <li>High-Grade Glioma NOS (HGGNOS)</li> <li>Invasive Breast Carcinoma (BRCA)</li> <li>Kidney (KIDNEY)</li> <li>Liver (LIVER)</li> <li>Low-Grade Glioma NOS (LGGNOS)</li> <li>Lung (LUNG)</li> <li>Lung Neuroendocrine Tumor (LNET)</li> <li>Lymphoid Neoplasm (LNM)</li> <li>Medulloblastoma (MBL)</li> <li>Myeloid Neoplasm (MNM)</li> <li>Myeloproliferative Neoplasms (MPN)</li> <li>Neuroblastoma (NBL)</li> <li>Non-Hodgkin Lymphoma (NHL)</li> <li>Non-Small Cell Lung Cancer (NSCLC)</li> <li>Oligodendroglioma (ODG)</li> <li>Ovarian Cancer (OV)</li> <li>Pan-cancer (PANCANCER)</li> <li>Pancreas (PANCREAS)</li> <li>Pilocytic Astrocytoma (PAST)</li> <li>Pleural Mesothelioma (PLMESO)</li> <li>Prostate (PROSTATE)</li> <li>Retinoblastoma (RBL)</li> <li>Skin (SKIN)</li> <li>Small Bowel Cancer (SBC)</li> <li>Small Bowel Neuroendocrine Tumor (SBNET)</li> <li>Small Cell Lung Cancer (SCLC)</li> <li>Stomach cancer (ST)</li> <li>Thyroid (THYROID)</li> <li>Vulva (VULVA)</li> </ul>

opencc-by-4.0Oct 2023View details →
zenodo40/100

datset related to article "THE NOVEL I213S MUTATION IN PSEN1 GENE IS LOCATED IN A HOTSPOT CODON ASSOCIATED WITH FAMILIAL EARLY-ONSET ALZHEIMER'S DISEASE"

<p><strong>Electropherogram of the proband psen1 exon 7</strong></p> <p><strong>ngs analysis of causal and risk genes associated to dementia</strong></p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Raw NGS Data for "Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins"

<p>This directory contains relevant fastq files used for deep sequencing analysis in the publication &ldquo;Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins&rdquo;.&nbsp;</p> <p>Fastq files are provided for presorted, uninduced and induced populations from DMS experiments of&nbsp;four&nbsp;homologs (TtgR, TetR, RolR, and MphR). Three replicates were performed for each sample.</p> <p>Data analysis of this&nbsp;deep sequencing data was performed using custom scripts, which are described in the methods section of the publication.</p>

opencc-by-4.0Aug 2022View details →
dryad32/100

Data from: Hotspot mutations and ColE1 plasmids contribute to the fitness of Salmonella Heidelberg in poultry litter

Salmonella enterica subsp. enterica serovar Heidelberg (S. Heidelberg) is a clinically-important serovar linked to food-borne illness, and commonly isolated from poultry. Investigations of a large, multistate outbreak in the USA in 2013 identified poultry litter (PL) as an important extra-intestinal environment that may have selected for specific S. Heidelberg strains. Poultry litter is a mixture of bedding materials and chicken excreta that contains chicken gastrointestinal (GI) bacteria, undigested feed, feathers, and other materials of chicken origin. In this study, we performed a series of controlled laboratory experiments which assessed the microevolution of two S. Heidelberg strains (SH-2813 and SH-116) in PL previously used to raise 3 flocks of broiler chickens. The strains are closely related at the chromosome level, differing from the reference genome by 109 and 89 single nucleotide polymorphisms/InDels, respectively. Whole genome sequencing was performed on 86 isolates recovered after 0, 1, 7 and 14 days of microevolution in PL. Only strains carrying an IncX1 (37kb), 2 ColE1 (4 and 6kb) and 1 ColpVC (2kb) plasmids survived more than 7 days in PL. Competition experiments showed that carriage of these plasmids was associated with increased fitness. This increased fitness was associated with an increased copy number of IncX1 and ColE1 plasmids. Further, all Col plasmid-bearing strains had hotspot mutations in 37 loci on the chromosome and in 3 loci on the IncX1 plasmid. Additionally, we observed a decrease in susceptibility to tobramycin, kanamycin, gentamicin, neomycin and fosfomycin for Col plasmid-bearing strains. Our study demonstrates how positive selection from poultry litter can change the evolutionary path of S. Heidelberg.

opencc-zeroDec 2017View details →
zenodo32/100

Supplementary data for 'An extreme mutational hotspot in nlpD depends on transcriptional induction of rpoS'

<p>This zip file contains raw data and calculations for each figure of the manuscript "An extreme mutational hotspot in <em>nlpD&nbsp;</em>depends on transcriptional induction of <em>rpoS</em>". Please refer to the README tab of each excel file, or the README txt files in each folder, for a description of each set of data.&nbsp; </p>

opencc-by-4.0Jul 2024View details →
dryad32/100

Data from: Hotspot mutations and ColE1 plasmids contribute to the fitness of Salmonella Heidelberg in poultry litter

Open the record for dataset details and reuse information.

publicAug 2019View details →
zenodo28/100

AlphaFold2 Modeling and Molecular Dynamics Simulations of the Conformational Ensembles for the SARS-CoV-2 Spike Omicron JN.1, KP.2 and KP.3 Variants : Mutational Profiling of Binding Energetics Reveals Epistatic Drivers of the ACE2 Affinity and Escape Hotspots of Antibody Resistance

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
geo24/100

Cancer associated SF3B1 hotspot mutations induce cryptic 3' splice site selection through use of a different branch point

GEO Series GSE72790. Mus musculus; Homo sapiens. 72 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2015View details →
geo24/100

A functional genomics process for systematic dissection and mutation-specific target discovery in breast cancer PIK3CA hotspot mutations [CRISPR KO Screen Data]

GEO Series GSE248041. Homo sapiens. 6 samples. Type: Other.

openGEO-OpenDec 2023View details →
geo24/100

Human Dicer hotspot mutation induces both loss and gain of miRNA function [sRNA-seq]

GEO Series GSE274853. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

The lipodystrophic hotspot lamin A p.R482W mutation deregulates the mesodermal inducer T/Brachyury and early vascular differentiation gene networks

GEO Series GSE98675. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenFeb 2018View details →
geo24/100

Hotspot mutations induce metabolic reprogramming and vulnerability to serine deprivation

GEO Series GSE134475. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2019View details →
geo24/100

Human Dicer hotspot mutation induces both loss and gain of miRNA function [iCLIP]

GEO Series GSE274851. Homo sapiens. 6 samples. Type: Other.

openGEO-OpenAug 2025View details →
geo24/100

A functional genomics process for systematic dissection and mutation-specific target discovery in breast cancer PIK3CA hotspot mutations [RNA-seq]

GEO Series GSE247819. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2023View details →
geo24/100

Human Dicer hotspot mutation induces both loss and gain of miRNA function [RNA-seq]

GEO Series GSE274849. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

Pathogenic DICER1 RNase IIIb Hotspot Mutation Induces 3p-miRNA Gain-of-Function via Argonaute Strand Switch [CLASH]

GEO Series GSE279636. Mus musculus. 6 samples. Type: Other.

openGEO-OpenJul 2025View details →
geo24/100

Pathogenic DICER1 RNase IIIb Hotspot Mutation Induces 3p-miRNA Gain-of-Function via Argonaute Strand Switch [RNA-seq]

GEO Series GSE279645. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2025View details →
geo24/100

Elevated pyrimidine dimer formation at distinct genomic bases underlies promoter mutation hotspots in UV-exposed cancers

GEO Series GSE119249. Homo sapiens. 5 samples. Type: Other.

openGEO-OpenDec 2018View details →
geo24/100

Evidence supporting a dominant negative mechanism for DNMT3A hotspot mutation-mediated leukemic cell transformation

GEO Series GSE130094. Homo sapiens. 35 samples. Type: Methylation profiling by genome tiling array.

openGEO-OpenJun 2019View details →
ClinicalTrials.gov24/100

The Chinese Mutation Hotspot of ENaC Causing Liddle's Syndrome and the Association of ENaC Variations and Hypertension

ClinicalTrials.gov study NCT00448162. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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