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HLA RNAseq reveals high allele-specific variability in mRNA expression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/eji.1830180522openalex-snapshot
Allele and locus‐specific differences in cell surface expression and the association of HLA class I heavy chain with β2‐microglobulin: differential effects of inhibition of glycosylation on class I subunit association
inferredcites →https://doi.org/10.1002/eji.201545927openalex-snapshot
5′ and 3′ untranslated regions contribute to the differential expression of specific HLA‐A alleles
inferredcites →https://doi.org/10.1007/s00251-010-0470-zopenalex-snapshot
Analysis of HLA–ABC locus-specific transcription in normal tissues
inferredcites →https://doi.org/10.1016/j.ajhg.2014.12.010openalex-snapshot
HLA-DPB1 and HLA Class I Confer Risk of and Protection from Narcolepsy
inferredcites →https://doi.org/10.1016/j.humimm.2016.08.004openalex-snapshot
HLA-C levels impact natural killer cell subset distribution and function
inferredcites →https://doi.org/10.1016/j.jmoldx.2018.02.006openalex-snapshot
Accurate Typing of Human Leukocyte Antigen Class I Genes by Oxford Nanopore Sequencing
inferredcites →https://doi.org/10.1038/gene.2013.64openalex-snapshot
Follicular lymphoma-protective HLA class II variants correlate with increased HLA-DQB1 protein expression
inferredcites →https://doi.org/10.1038/gene.2014.1openalex-snapshot
High-allelic variability in HLA-C mRNA expression: association with HLA-extended haplotypes
inferredcites →https://doi.org/10.1038/jhg.2008.5openalex-snapshot
The HLA genomic loci map: expression, interaction, diversity and disease
inferredcites →https://doi.org/10.1038/jhg.2015.102openalex-snapshot
The impact of next-generation sequencing technologies on HLA research
inferredcites →https://doi.org/10.1038/nbt.4060openalex-snapshot
Nanopore sequencing and assembly of a human genome with ultra-long reads
inferredcites →https://doi.org/10.1038/ncomms16027openalex-snapshot
Nanopore long-read RNAseq reveals widespread transcriptional variation among the surface receptors of individual B cells
inferredcites →https://doi.org/10.1038/nmeth.1778openalex-snapshot
Counting absolute numbers of molecules using unique molecular identifiers
inferredcites →https://doi.org/10.1038/nmeth.2772openalex-snapshot
Quantitative single-cell RNA-seq with unique molecular identifiers
inferredcites →https://doi.org/10.1038/nmeth.3317openalex-snapshot
HISAT: a fast spliced aligner with low memory requirements
inferredcites →https://doi.org/10.1038/nprot.2012.022openalex-snapshot
Highly multiplexed and strand-specific single-cell RNA 5′ end sequencing
inferredcites →https://doi.org/10.1038/s41435-017-0006-8openalex-snapshot
High resolution HLA analysis reveals independent class I haplotypes and amino-acid motifs protective for multiple sclerosis
inferredcites →https://doi.org/10.1056/nejmoa1500140openalex-snapshot
High HLA-DP Expression and Graft-versus-Host Disease
inferredcites →https://doi.org/10.1073/pnas.1206614109openalex-snapshot
High-throughput, high-fidelity HLA genotyping with deep sequencing
inferredcites →https://doi.org/10.1073/pnas.1312237110openalex-snapshot
Genetic interplay between HLA-C and MIR148A in HIV control and Crohn disease
inferredcites →https://doi.org/10.1084/jem.181.6.2085openalex-snapshot
Low HLA-C expression at cell surfaces correlates with increased turnover of heavy chain mRNA.
inferredcites →https://doi.org/10.1086/318799openalex-snapshot
Complex HLA-DR and -DQ Interactions Confer Risk of Narcolepsy-Cataplexy in Three Ethnic Groups
inferredcites →https://doi.org/10.1086/503821openalex-snapshot
Sequence and Haplotype Analysis Supports HLA-C as the Psoriasis Susceptibility 1 Gene
inferredcites →https://doi.org/10.1093/bioinformatics/btp450openalex-snapshot
ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data
inferredcites →https://doi.org/10.1093/bioinformatics/btt073openalex-snapshot
An approximate Bayesian approach for mapping paired-end DNA reads to a reference genome
inferredcites →https://doi.org/10.1093/bioinformatics/btt656openalex-snapshot
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
inferredcites →https://doi.org/10.1093/bioinformatics/btv494openalex-snapshot
msa: an R package for multiple sequence alignment
inferredcites →https://doi.org/10.1093/bioinformatics/btv540openalex-snapshot
NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles
inferredcites →https://doi.org/10.1093/hmg/ddv158openalex-snapshot
Epigenetic regulation of differentialHLA-Aallelic expression levels
inferredcites →https://doi.org/10.1093/nar/gku1161openalex-snapshot
The IPD and IMGT/HLA database: allele variant databases
inferredcites →https://doi.org/10.1093/nar/gkv007openalex-snapshot
limma powers differential expression analyses for RNA-sequencing and microarray studies
inferredcites →https://doi.org/10.1101/019281openalex-snapshot
Sequencing ultra-long DNA molecules with the Oxford Nanopore MinION
inferredcites →https://doi.org/10.1101/gr.209601.116openalex-snapshot
UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
inferredcites →https://doi.org/10.1111/j.1399-0039.2012.01941.xopenalex-snapshot
Super high resolution for single molecule‐sequence‐based typing of classical HLA loci at the 8‐digit level using next generation sequencers
inferredcites →https://doi.org/10.1111/tan.13186openalex-snapshot
Quantification of classical HLA class I mRNA by allele‐specific, real‐time polymerase chain reaction for most Han individuals
inferredcites →https://doi.org/10.1126/science.1232685openalex-snapshot
Influence of HLA-C Expression Level on HIV Control
inferredcites →https://doi.org/10.1126/science.aam8825openalex-snapshot
Elevated HLA-A expression impairs HIV control through inhibition of NKG2A-expressing cells
inferredcites →https://doi.org/10.1182/blood-2014-09-599969openalex-snapshot
HLA-C expression levels define permissible mismatches in hematopoietic cell transplantation
inferredcites →https://doi.org/10.1186/1423-0127-19-88openalex-snapshot
HLA-DQA1 and HLA-DQB1 in Celiac disease predisposition: practical implications of the HLA molecular typing
inferredcites →https://doi.org/10.1186/1471-2164-12-42openalex-snapshot
Next-generation sequencing for HLA typing of class I loci
inferredcites →https://doi.org/10.1186/1471-2164-12-507openalex-snapshot
Chipster: user-friendly analysis software for microarray and other high-throughput data
inferredcites →https://doi.org/10.1186/1471-2164-13-378openalex-snapshot
Ultra-high resolution HLA genotyping and allele discovery by highly multiplexed cDNA amplicon pyrosequencing
inferredcites →https://doi.org/10.1186/gm396openalex-snapshot
Derivation of HLA types from shotgun sequence datasets
inferredcites →https://doi.org/10.1186/s12864-017-3575-zopenalex-snapshot
2.7 million samples genotyped for HLA by next generation sequencing: lessons learned
inferredcites →https://doi.org/10.1186/s12920-018-0354-xopenalex-snapshot
HLA and proteasome expression body map
inferredcites →https://doi.org/10.1186/s13073-017-0403-7openalex-snapshot
Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation
inferredcites →https://doi.org/10.1186/s13073-017-0473-6openalex-snapshot
HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data
inferredcites →https://doi.org/10.1371/journal.pone.0054583openalex-snapshot
Positive Outcomes Influence the Rate and Time to Publication, but Not the Impact Factor of Publications of Clinical Trial Results
inferredcites →https://doi.org/10.1371/journal.pone.0067885openalex-snapshot
HLA Haplotyping from RNA-seq Data Using Hierarchical Read Weighting
inferredcites →https://doi.org/10.1371/journal.pone.0127153openalex-snapshot
HLA Typing for the Next Generation
inferredcites →https://doi.org/10.1534/g3.117.043828openalex-snapshot
Unique Allelic eQTL Clusters in Human MHC Haplotypes
inferredcites →https://doi.org/10.3389/fgene.2018.00152openalex-snapshot
Multiplexed Nanopore Sequencing of HLA-B Locus in Māori and Pacific Island Samples
inferredcites →https://doi.org/10.3389/fimmu.2011.00048openalex-snapshot
Expression Regulation of Major Histocompatibility Complex Class I and Class II Encoding Genes
inferredcites →https://doi.org/10.5665/sleep.3300openalex-snapshot
DQB1 Locus Alone Explains Most of the Risk and Protection in Narcolepsy with Cataplexy in Europe
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-0716-0327-7_5openalex-snapshot
HLA Typing from RNA Sequencing and Applications to Cancer
inferred← citeshttps://doi.org/10.3389/fimmu.2020.00941openalex-snapshot
Capturing Differential Allele-Level Expression and Genotypes of All Classical HLA Loci and Haplotypes by a New Capture RNA-Seq Method
inferred← citeshttps://doi.org/10.3389/fimmu.2021.629059openalex-snapshot
HLA RNA Sequencing With Unique Molecular Identifiers Reveals High Allele-Specific Variability in mRNA Expression
inferred← citeshttps://doi.org/10.3389/fimmu.2026.1736994openalex-snapshot
Deep immune-phenotyping of HLA-homozygous iPS-cardiomyocytes by spectral flow cytometry
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