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UnknownIntegrative analysis of single-cell and bulk transcriptome data reveal the significant role of macrophages in lupus nephritis.
Not available
S-EPMC11010324 | biostudies-literature
UnknownIntegrated single-cell and machine learning analysis identifies PMAIP1 as a novel biomarker for predicting prognosis and immunotherapy response in colorectal cancer.
Not available
S-EPMC12852111 | biostudies-literature
UnknownMapping QTL for Adult-Plant Resistance to Stripe Rust in a Chinese Wheat Landrace.
Not available
S-EPMC9456275 | biostudies-literature
UnknownRespiratory pathogens in infants and young children with acute respiratory illness: a prospective cohort study, China, 2023-2024.
Not available
S-EPMC12358494 | biostudies-literature
ProteomicsStable Coordination Unlocks Ligand-accelerated Transition Metal Catalysis on Proteins
This project investigates in situ deprotection reactions catalyzed by the Ni–BCS system in MC38 cells and the subsequent impact on the immunopeptidome. Two independent MC38 cell preparations (2 × 10⁷ cells each) were pulsed with either the P2 peptide or P2 peptide followed by Ni–BCS catalyzed in sit...
ORGANISM(S): Mus Musculus 
PXD067964 |
Genomicsena-DATASET-DTU-19-07-2017-19:09:46:884-206 - samples
The MHC vcf call set was generated using a modified AsmVar and BayesTyper pipeline. In contrast to the original pipeline, where variant calling is performed using alignment of collapsed assemblies to a reference genome, the MHC call set was produced using alignment of phased MHC haplotypes. Two iter...
EGAD00001003455 | EGA
Proteomicsproteins in the spermatheca of female Haemaphysalis longicornis
The DIA quantitative proteomics technology was used to study the dynamic changes of all proteins in the spermatheca shortly after intercoursof the reproduce, and to explore the molecular mechanism tive process of Haemaphysalis longicornis.
ORGANISM(S): Haemaphysalis Longicornis 
2020-03-05 | PXD017885 |
Genomicsena-DATASET-DTU-20-02-2017-20:47:48:841-649 - samples
Variants on the Y chromosome for 62 danish males in VCF format from the GenomeDenmark Phase 2 cohort. Variants were called using reference based approaches such as the haplotype-caller module from GATK and using alignment of denovo assemblies to the reference using ASMvar.
EGAD00001003186 | EGA
Genomicsena-DATASET-DTU-01-02-2017-10:47:25:397-764 - samples
Alignment of Genome Denmark Phase II dataset to GRCh38. The dataset consists of 150 Danish individuals (50 trios) sequenced to 80X. The BAM-file contains data from multiple libraries created from one individual with libraries of 180, 500, 800, 2000, 5000, 10000 and 20000 bp. The libraries were creat...
EGAD00001003157 | EGA
Genomicsena-DATASET-DTU-19-07-2017-17:57:54:089-201 - samples
Validation of HLA variation of 8 individuals from the GenomeDenmark Phase 2 study. Validation is performed Sanger sequencing of selected amplicons (5-10 amplicons per sample).
EGAD00001003454 | EGA
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