Epithelial tumors can progress from a benign tissue overgrowth (hyperplasia) to a malignant neoplastic tumor, which is characterized by an increase in motility and invasiveness. The Cohen laboratory has developed an epithelial tumor model in which overexpression of the epidermal growth factor receptor gene (EGFR) leads to benign tissue hyperplasia. When combined with other cooperating factors, EGFR overexpression can lead to neoplasia and malignant metastasis.
Warburg Effect Metabolism Drives Neoplasia in a Drosophila Genetic Model of Epithelial Cancer.
Specimen part, Time
View SamplesHnRNPLL was identified as a critical regulator of CD45 alternative splicing in a lentiviral shRNA screen. RNAi-mediated depletion of hnRNPLL eliminated the activation-induced induced transition from the CD45RA to the CD45RO isoform. HnRNPLL is induced during the process of T cell activation, raising the possibility that it regulates a broad program of alternative splicing in activated T cells. To test this possibility and to identify additional potential targets of hnRNPLL, we performed exon array analysis on RNA isolated from five cellular conditions: 1) activated peripheral CD4+ T cells, 2) peripheral CD4+ T cells infected with a control shRNA directed against GFP, 3) peripheral CD4+ T infected with an shRNA directed against hnRNPLL, 4) nave cord blood CD4+ T cells, and 5) cord blood CD4+ T cells that had been activated with anti-CD3 and anti-CD28 for 24 hours. The RNA was hybridized to Affymetrix human exon arrays and the hybridization signals were analyzed with XRAYTM software (Biotique). Using stringent filters for non-expressed probesets, we identified 132 genes that showed significant alternative exon usage (p<0.01) in response to hnRNPLL knockdown, but not in response to shGFP infection. Of these 132 genes, 36 also showed significant alternative exon usage in response to activation of cord blood cells, which results in an approximate 5-fold increase in hnRNPLL expression. We thus conclude that induction of hnRNPLL represents a mechanism by which cells can rapidly shift their transcriptomes during the process of T cell activation.
Regulation of CD45 alternative splicing by heterogeneous ribonucleoprotein, hnRNPLL.
No sample metadata fields
View SamplesIn order to identify genes with differential gene expression or alternative splicing between the groups LL-sh4, uninfected, and shGFP we study 6 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 842 genes with significant gene expression differences between the groups and 1118 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 192 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01).
Regulation of CD45 alternative splicing by heterogeneous ribonucleoprotein, hnRNPLL.
No sample metadata fields
View SamplesIn order to identify genes with differential gene expression or alternative splicing between the groups naive and activated we study 4 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 1904 genes with significant gene expression differences between the groups and 1603 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 427 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01).
Regulation of CD45 alternative splicing by heterogeneous ribonucleoprotein, hnRNPLL.
No sample metadata fields
View SamplesWe investigated the ability of monoclonal B cells to restore primary and secondary antibody responses in adoptive immune-deficient hosts. Priming induced B cell activation and expansion, AID expression, antibody production and the generation of IgM+IgG- and IgM-IgG+ antigen-experienced B-cell subsets that persisted in the lymphopenic environment by cell division. Using RNA sequencing, we compared the gene expression profil of memory B cells subpopulations and activated B cells. These data showed a clear discrimination of naïve and activated/memory cells while indicating only minor differences between both subsets of memory cells. Overall design: mRNA profiles of B cell subtypes (activated, memory IgM+, memory IgG+) were generated by deep sequencing, in triplicate, using Illumina
Regulation and Maintenance of an Adoptive T-Cell Dependent Memory B Cell Pool.
Specimen part, Cell line, Subject
View SamplesWe have identified more than 50 genes that have upregulated expression in TLR3 activated (PMI-1,2), but have downregulated expression in TLR2 activated (PMP-1,2) macrophages, as compared to control cells (PMC-1,2)
Identification of TLT2 as an engulfment receptor for apoptotic cells.
Specimen part
View SamplesHistologic diagnosis of T cell-mediated rejection in kidney transplant biopsies has limited reproducibility because it is based on non-specific lesions using arbitrary rules that are subject to differing interpretations. We used microarray results from 403 indication biopsies previously given histologic diagnoses to develop a molecular classifier that assigned a molecular T cell-mediated rejection score to each biopsy. Independent assessment of the biopsies by multiple pathologists confirmed considerable disagreement on the presence of TCMR features: 79-88% accuracy and 35-69% sensitivity. The agreement of the molecular T cell-mediated rejection score with the histology diagnosis was similar to agreement among individual pathologists: accuracy 89%, sensitivity 51%. However, the score also predicted the consensus among pathologists, being highest when all agreed. Many discrepancies between the scores and the histologic diagnoses were in situations where histology is unreliable e.g. scarred biopsies. The score correlated with histologic lesions and gene sets associated with T cell-mediated rejection. The transcripts most often selected by the classifier were expressed in effector T cells, dendritic cells, or macrophages or inducible by interferon-gamma. Thus the T cell-mediated rejection score offers an objective assessment of kidney transplant biopsies, predicting the consensus opinion among multiple pathologists, and offering insights into underlying disease mechanisms.
Molecular diagnosis of T cell-mediated rejection in human kidney transplant biopsies.
Disease
View SamplesWe compared the gene expression profile from a group of children with T-cell acute lymphoblastic leukamia who remained in continuous complete remission (CCR) (n = 7) with that from a group who relapsed (n = 5), using Affymetrix HG-U133A arrays. Using the decision-tree based supervised learning algorithm Random Forest (RF), genes were ranked with respect to their ability to discriminate between patients who remained in CCR and those who relapsed. From the 300 top-ranked probe sets 9 genes were selected for further investigation and validation in an independent cohort of 25 T-ALL patients using quantitative real time polymerase chain reaction.
Identification of novel molecular prognostic markers for paediatric T-cell acute lymphoblastic leukaemia.
Sex, Age, Specimen part, Disease, Subject
View SamplesMicroarray analysis of human kidneys with acute kidney injury (AKI) has been limited because such kidneys are seldom biopsied. However, all kidney transplants experience AKI, and early kidney transplants without rejection are an excellent model for human AKI: they are screened to exclude chronic kidney disease, frequently biopsied, and have extensive follow-up. We used histopathology and microarrays to compare indication biopsies from 28 transplants with AKI to 11 pristine protocol biopsies of stable transplants. Kidneys with AKI showed increased expression of 394 injury-repair response associated transcripts, including many known epithelial injury molecules (e.g. ITGB6, LCN2), tissue remodeling molecules (e.g. VCAN), and inflammation molecules (S100A8, ITGB3). Many other genes also predict the phenotype, depending on statistical filtering rules, including AKI biomarkers as HAVCR1 and IL18. Most mouse orthologs of the top injury-repair transcripts were increased in published mouse AKI models. Pathway analysis of the injury-repair transcripts revealed similarities to cancer, development, and cell movement. The injury-repair transcript score AKI kidneys correlated with reduced function, future recovery, brain death, and need for dialysis, but not future graft loss. In contrast, histologic features of "acute tubular injury" did not correlate with function or with the molecular changes. Thus the injury-repair associated transcripts represent a massive coordinate injury-repair response of kidney parenchyma to AKI, similar to mouse AKI models, and provide an objective measure for assessing the severity of AKI in kidney biopsies and validation for the use of many AKI biomarkers.
Molecular phenotypes of acute kidney injury in kidney transplants.
Specimen part, Disease
View SamplesThe authors report that in INTERCOM, a prospective international study of 300 kidney transplant biopsies, a microarray-based molecular score for T cell-mediated rejection changed the assessment of 26% of all biopsies, illustrating the potential of precision diagnostics to impact practice.
Potential impact of microarray diagnosis of T cell-mediated rejection in kidney transplants: The INTERCOM study.
Specimen part
View Samples