about
Dissecting the genomic complexity underlying medulloblastomaUPF2 is a critical regulator of liver development, function and regenerationGenome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations.Phenotypic impact of genomic structural variation: insights from and for human disease.Pediatric T-cell lymphoblastic leukemia evolves into relapse by clonal selection, acquisition of mutations and promoter hypomethylation.Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking.Messenger RNA surveillance: neutralizing natural nonsense.Heterogeneity of ERG expression in prostate cancer: a large section mapping study of entire prostatectomy specimens from 125 patients.Mammalian tissues defective in nonsense-mediated mRNA decay display highly aberrant splicing patternsExome sequencing of osteosarcoma reveals mutation signatures reminiscent of BRCA deficiencyNMD is essential for hematopoietic stem and progenitor cells and for eliminating by-products of programmed DNA rearrangements.Immortalization capacity of HPV types is inversely related to chromosomal instability.A cell-based model system links chromothripsis with hyperploidy.Genomes of early onset prostate cancer.Mitochondrial mutations drive prostate cancer aggression.Integrative genomic analyses reveal an androgen-driven somatic alteration landscape in early-onset prostate cancer.The whole-genome landscape of medulloblastoma subtypes.Clinical significance of different types of p53 gene alteration in surgically treated prostate cancer.Deletion lengthening at chromosomes 6q and 16q targets multiple tumor suppressor genes and is associated with an increasingly poor prognosis in prostate cancer.The landscape of genomic alterations across childhood cancers.Intratumor DNA methylation heterogeneity reflects clonal evolution in aggressive prostate cancer.TMPRSS2-ERG fusions are strongly linked to young patient age in low-grade prostate cancer.SvABA: genome-wide detection of structural variants and indels by local assembly.Prevalence of chromosomal rearrangements involving non-ETS genes in prostate cancer.Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort.Bone Marrow-Derived Macrophages (BMM): Isolation and ApplicationsComparative Analysis of Different Vaccine Constructs Expressing Defined Antigens fromMycobacterium tuberculosisLarge-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing EnvironmentsGermline determinants of the somatic mutation landscape in 2,642 cancer genomesMolecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical TrajectoriesResponse to olaparib in a PALB2 germline mutated prostate cancer and genetic events associated with resistance.The aging prostate is never "normal": implications from the genomic characterization of multifocal prostate cancersPan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotranspositionRegulation of ETAA1-mediated ATR activation couples DNA replication fidelity and genome stabilityClonal hematopoiesis in elderly twins: concordance, discordance, and mortalityA Novel Gene Signature-Based Model Predicts Biochemical Recurrence-Free Survival in Prostate Cancer Patients after Radical Prostatectomy
P50
Q24621907-7BEF4291-081E-4024-9556-BD65E41F4C73Q28588810-8F9CB154-D8BB-487A-A4B8-1603855D6DF1Q34248736-07F3360F-5A6F-4B43-97B3-ACD9DF4A9893Q34323221-AE4A5F44-93F8-4F32-9298-57404E91EADEQ34490429-E3240B55-008B-4145-B236-87A304006871Q34545220-79879548-5BC1-4D63-915A-AB2423124032Q34559634-C6BF22F9-44F2-4116-8462-E21C2E41EE11Q36105102-E56B69F4-9576-45FF-B999-C84A06A602A5Q36245213-294AFB39-F65B-463C-94BE-EA41484CC2BCQ36392466-F044941C-9891-4FBB-84D2-C3E5F15DF0F1Q38310537-565C99C3-9645-4175-BCDB-31A0D2F3A27FQ38739045-BAD30559-1FB1-42AD-8141-E530CBC0B530Q38831823-3CCB75CC-B9C8-44BA-92CF-740E2CF327A2Q39404908-511ED2E4-7613-4E42-BB7E-292984098B62Q41689819-3B328043-24F0-4F61-BF41-032FD2123824Q45017329-9A161810-FE89-419F-94F8-9A86D02A9A84Q46567834-3CE011C6-43E0-4EB6-BFC3-EEEC6873CC07Q46590858-6B96D34E-70BA-42BD-B610-674062F39A4DQ47193753-CD3B9CC8-5894-4974-A446-2BC0073F3922Q50421569-EBB5BA25-DE43-4C03-BFF8-686B3DE0FC03Q51064042-C6B3F4A2-E798-4DCA-902C-D0D9946534C7Q51837762-BB06F32B-2F3C-4021-A5F5-47BF5B1C81F9Q52357046-13C28D06-843A-4EE9-BAA6-4BC32DE6F515Q53634535-AA680E38-C592-459B-9D7E-2B0756745DE4Q54969362-84050EAA-B1B9-4284-95C3-4037F6E6A828Q56882737-30959169-903C-4336-9B33-FDA5CF5B0B49Q57203132-E7A91544-130D-44C3-8117-E3C1414AD6A3Q57272922-31A96D12-C847-40D0-B2D7-0790D58EBFB7Q58050324-5C48A168-0717-4B78-A1A5-ABD4F2AF79D7Q64119975-204975BD-F05D-4F93-BABC-793C8FB33547Q64986471-65C43B1A-941C-4548-A99C-CAD5C3A7926BQ87187908-08963A3D-05D8-4FB3-9440-18D6723BE4EFQ89556828-4E47125E-064E-413C-A614-BD8D6A26DBD2Q90729939-CC49F8FE-AFAF-4AA7-A067-E25E23A82BB8Q91164972-883FF4FB-8025-4643-BA06-780C3231D5FCQ92152810-079BF0A9-A58B-46CA-B3E6-32061D1AA295
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Joachim Weischenfeldt
@ast
Joachim Weischenfeldt
@en
Joachim Weischenfeldt
@es
Joachim Weischenfeldt
@nl
Joachim Weischenfeldt
@sl
type
label
Joachim Weischenfeldt
@ast
Joachim Weischenfeldt
@en
Joachim Weischenfeldt
@es
Joachim Weischenfeldt
@nl
Joachim Weischenfeldt
@sl
prefLabel
Joachim Weischenfeldt
@ast
Joachim Weischenfeldt
@en
Joachim Weischenfeldt
@es
Joachim Weischenfeldt
@nl
Joachim Weischenfeldt
@sl
P1053
O-3681-2015
P106
P108
P1153
8631971500
P21
P2798
P31
P3829
P496
0000-0002-3917-5524