High-throughput cDNA microarray technology allows for the simultaneous analysis of gene expression levels for thousands of genes and as such, rapid, relatively simple methods are needed to store, analyze, and cross-compare basic microarray data. The application of a classical method of data normalization, Z score transformation, provides a way of standardizing data across a wide range of experiments and allows the comparison of microarray data independent of the original hybridization intensities. Data normalized by Z score transformation can be used directly in the calculation of significant changes in gene expression between different samples and conditions. We used Z scores to compare several different methods for predicting significant changes in gene expression including fold changes, Z ratios, Z and t statistical tests. We conclude that the Z score transformation normalization method accompanied by either Z ratios or Z tests for significance estimates offers a useful method for the basic analysis of microarray data. The results provided by these methods can be as rigorous and are no more arbitrary than other test methods, and, in addition, they have the advantage that they can be easily adapted to standard spreadsheet programs. cDNA microarray technologies are rapidly being applied in biology and medicine.

Background-Atopic dermatitis (AD) is characterized by dry skin and a hyperreactive immune response to allergens, two cardinal features that are caused in part by epidermal barrier defects. Tight junctions (TJ) reside immediately below the stratum corneum and regulate the selective permeability of the paracellular pathway.

Studies in humans and animal models have demonstrated that acute kidney injury (AKI) has a significant effect on the function of extrarenal organs. The combination of AKI and lung dysfunction is associated with 80% mortality; the lung, because of its extensive capillary network, is a prime target for AKI-induced effects. The study presented here tested the hypothesis that AKI leads to a vigorous inflammatory response and produces distinct genomic signatures in the kidney and lung. In a murine model of ischemic AKI, prominent global transcriptomic changes and histologic injury in both kidney and lung tissues were identified. These changes were evident at both early (6 h) and late (36 h) timepoints after 60-min bilateral kidney ischemia and were more prominent than similar timepoints after sham surgery or 30 min of ischemia. The inflammatory transcriptome (109 genes) of both organs changed with marked similarity, including the innate immunity genes Cd14, Socs3, Saa3, Lcn2, and Il1r2. Functional genomic analysis of these genes suggested that IL-10 and IL-6 signaling was involved in the distant effects of local inflammation, and this was supported by increased serum levels of IL-10 and IL-6 after ischemia-reperfusion. In summary, this is the first comprehensive analysis of concomitant inflammation-associated transcriptional changes in the kidney and a remote organ during AKI. Functional genomic analysis identified potential mediators that connect local and systemic inflammation, suggesting that this type of analysis may be a useful discovery tool for novel biomarkers and therapeutic drug development. Clinical studies have revealed a strong association between AKI and dysfunction of extrarenal organs, and more recently animal research has shown a significant causal effect of AKI on distant organ dysfunction. [1][2][3][4][5][6][7] Since the availability of dialysis, AKIassociated distant organ dysfunction constitutes the major cause of death in these patients, with the mortality rate still in the 50% range. Despite this frustrating outcome, little is known about the potential pathophysiological interactions between the kidney and extrarenal organs in critically ill patients. Numerous recent studies have demonstrated that outcomes of AKI are heavily dependent upon the severity of comorbid conditions. 8 -10 Isolated AKI has a much better prognosis than AKI associated with multiple organ failure, 11,12 and the presence of renal insufficiency continues to be a sensitive marker for poor outcome in the hospitalized patient. 13 Thus, there is an urgent need to study the systemic effects of AKI, and modern discovery tools have the potential to unveil novel diagnostic and therapeutic targets.Inflammation is a major component of the initiation and exacerbation of kidney injury during AKI, 14,15 and local inflammation of kidney tissues could be a source of the development of inflamma-

Purpose Blocking the immunosuppressive PD-1/PD-L1 pathway has anti-tumor activity in multiple cancer types, and PD-L1 expression on tumor cells and infiltrating myeloid cells correlates with the likelihood of response. We previously found that IFNG (interferon-gamma) was over-expressed by TILs in PD-L1+ vs. PD-L1(−) melanomas, creating adaptive immune resistance by promoting PD-L1 display. The current study was undertaken to identify additional factors in the PD-L1+ melanoma microenvironment coordinately contributing to immunosuppression. Experimental design Archived, formalin-fixed paraffin-embedded melanoma specimens were assessed for PD-L1 protein expression at the tumor cell surface with immunohistochemistry (IHC). Whole genome expression analysis, quantitative (q)RT-PCR, immunohistochemistry, and functional in vitro validation studies were employed to assess factors differentially expressed in PD-L1+ versus PD-L1(−) melanomas. Results Functional annotation clustering based on whole genome expression profiling revealed pathways up-regulated in PD-L1+ melanomas, involving immune cell activation, inflammation, and antigen processing and presentation. Analysis by qRT-PCR demonstrated over-expression of functionally related genes in PD-L1+ melanomas, involved in CD8+ T cell activation (CD8A, IFNG, PRF1, CCL5), antigen presentation (CD163, TLR3, CXCL1, LYZ), and immunosuppression [PDCD1 (PD-1), CD274(PD-L1), LAG3, IL10]. Functional studies demonstrated that some factors, including IL-10 and IL-32-gamma, induced PD-L1 expression on monocytes but not tumor cells. Conclusions These studies elucidate the complexity of immune checkpoint regulation in the tumor microenvironment, identifying multiple factors likely contributing to coordinated immunosuppression. These factors may provide tumor escape mechanisms from anti-PD-1/PD-L1 therapy, and should be considered for co-targeting in combinatorial immunomodulation treatment strategies.

Hassoun HT, Grigoryev DN, Lie ML, Liu M, Cheadle C, Tuder RM, Rabb H. Ischemic acute kidney injury induces a distant organ functional and genomic response distinguishable from bilateral nephrectomy. Am J Physiol Renal Physiol 293: F30-F40, 2007. First published February 27, 2007 doi:10.1152/ajprenal.00023.2007.-Acute kidney injury (AKI) is associated with significant mortality, which increases further when combined with acute lung injury. Experiments in rodents have shown that kidney ischemia-reperfusion injury (IRI) facilitates lung injury and inflammation. To identify potential ischemia-specific lung molecular pathways involved, we conducted global gene expression profiling of lung 6 or 36 h following 1) bilateral kidney IRI, 2) bilateral nephrectomy (BNx), and 3) sham laparotomy in C57BL/6J mice. Bronchoalveolar lavage fluid analysis revealed increased total protein, and lung histology revealed increased cellular inflammation following IRI, but not BNx, compared with sham controls. Total RNA from whole lung was isolated and hybridized to 430MOEA (22,626 genes) GeneChips (n ϭ 3/group), which were analyzed by robust multichip average and significance analysis of microarrays and linked to gene ontology (GO) terms using MAPPFinder. The microarray power analysis predicted that the false discovery rate (q Ͻ 1%) and Ն50%-fold change compared with sham would represent significant changes in gene expression. Analysis identified 266 and 455 ischemia-specific, AKI-associated lung genes with increased expression and 615 and 204 with decreased expression at 6 and 36 h, respectively, compared with sham controls. Real-time PCR analysis validated select array changes in lung serum amyloid A3 and endothelin-1. GO analysis revealed significant activation (Z Ͼ 1.95) of several proinflammatory and proapoptotic biological processes. Ischemic AKI induces functional and transcriptional changes in the lung distinct from those induced by uremia alone. Further investigation using this lung molecular signature induced by kidney IRI will provide mechanistic insights and new therapies for critically ill patients with AKI.ischemia-reperfusion; lung injury; microarray ISCHEMIC ACUTE KIDNEY INJURY (AKI) occurs in various clinical settings including shock, sepsis, transplantation, and vascular surgery. Despite advances in renal replacement therapy, the mortality of patients with AKI has remained high over the past few decades, and renal insufficiency continues to be a sensitive marker for a poor outcome in critically ill patients (2, 22). Epidemiological studies have identified an association between AKI and dysfunction of extrarenal organs (4). Given the persistent AKI-associated poor clinical outcomes, there is a need to study the systemic and remote organ effects that occur in the context of AKI.Acute lung injury (ALI) is a significant cause of respiratory failure in the intensive care unit and carries a substantial mortality of 30 -40% (8). When combined with AKI, mortality approaches 80% (26). The clinical presentation of AKI-associate...

Background: Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The effective correlation of observed changes in gene expression with shared transcription regulatory elements remains difficult to demonstrate convincingly. One reason for this difficulty may result from the intricate convergence of both transcriptional and mRNA turnover events which, together, directly influence steady-state mRNA levels.

Acute kidney injury (AKI) is being increasingly shown to be a risk factor for chronic kidney disease (CKD), but little is known about the possible mechanistic links. We hypothesized that analysis of the genomic signature in the repair stage after AKI would reveal pathways that could link AKI and CKD. Unilateral renal pedicle clamping for 45 min was performed in male C57BL/6J mice. Mice were euthanized at 3, 10, and 28 days after ischemia-reperfusion injury (IRI). Total RNA was isolated from kidney and analyzed using an Illumina mouse array. Among 24,600 tested genes, 242, 146, and 46 genes were upregulated at days 3, 10, and 28 after IRI, and 85, 35, and 0 genes were downregulated, respectively. Gene ontology analysis showed that gene expression changes were primarily related to immune and inflammatory pathways both early and late after AKI. The most highly upregulated genes late after AKI were hepatitis A virus cellular receptor 1 (Havcr1) and lipocalin 2 (Lcn2), which code for kidney injury molecule-1 (KIM-1) and neutrophil gelatinase-associated lipocalin (NGAL), respectively. This was unexpected since they are both primarily potential biomarkers of the early stage of AKI. Furthermore, increases observed in gene expression in amiloride binding protein 1, vascular cell adhesion molecule-1, and endothelin 1 could explain the salt-sensitive hypertension that can follow AKI. These data suggested that 1) persistent inflammation and immune responses late after AKI could contribute to the pathogenesis of CKD, 2) late upregulation of KIM-1 and NGAL could be a useful marker for sustained renal injury after AKI, and 3) hypertension-related gene changes could underlie mechanisms for persistent renal and vascular injury after AKI.

Identification and annotation of all the genes in the sequenced Drosophila genome is a work in progress. Wild-type testis function requires many genes and is thus of potentially high value for the identification of transcription units. We therefore undertook a survey of the repertoire of genes expressed in the Drosophila testis by computational and microarray analysis. We generated 3141 high-quality testis expressed sequence tags (ESTs). Testis ESTs computationally collapsed into 1560 cDNA set used for further analysis. Of those, 11% correspond to named genes, and 33% provide biological evidence for a predicted gene. A surprising 47% fail to align with existing ESTs and 16% with predicted genes in the current genome release. EST frequency and microarray expression profiles indicate that the testis mRNA population is highly complex and shows an extended range of transcript abundance. Furthermore, >80% of the genes expressed in the testis showed onefold overexpression relative to ovaries, or gonadectomized flies. Additionally, >3% showed more than threefold overexpression at p <0.05. Surprisingly, 22% of the genes most highly overexpressed in testis match Drosophila genomic sequence, but not predicted genes. These data strongly support the idea that sequencing additional cDNA libraries from defined tissues, such as testis, will be important tools for refined annotation of the Drosophila genome. Additionally, these data suggest that the number of genes in Drosophila will significantly exceed the conservative estimate of 13,601.