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Topological proteomics, toponomics, MELK-technology.

MELK is an ultrasensitive topological proteomics technology analysing proteins on the single cell level (Multi-Epitope-Ligand-'Kartographie'). It can trace out large scale protein patterns with subcellular resolution, mapping the topological position of many proteins simultaneously in a cell. Thereby, it addresses higher level order in a proteome, referred to as the toponome, coding cell functions by topologically and timely determined webs of interacting proteins. The resulting cellular protein maps provide new structures in the proteome: single combinatorial protein patterns (s-CPP), and combinatorial protein pattern motifs (CPP-motifs), bound to superior units. They are images of functional protein networks, which are specific signatures of tissues, cell types, cell states and diseases. The technology unravels hierarchies of proteins related to particular cell functions or dysfunctions, thus identifying and prioritising key proteins within cell and tissue protein networks. Interlocking MELK with the drug screening machinery provides new clues related to the selection of target proteins, and functionally relevant hits and drug leads. The present chapter summarizes the steps that have contributed to the establishment of the technology.

Humans↗

Transcriptional expression profiles of oral squamous cell carcinomas.

BACKGROUND: Currently, the classification of oral squamous cell carcinoma (OSCC) depends heavily on the clinical and pathologic examination of tissue. This system can lead to the classification of potentially heterogeneous tumors into single groups when they may have different degrees of aggressiveness. No system to date has incorporated genetic changes as a factor by which to classify OSCC tumors. METHODS: To test the hypothesis that OSCC has a genome-wide genetic expression profile that differs from normal oral tissue and that transcriptional expression profiling can be used to characterize the heterogeneity among tumors, the authors examined the genetic expression profiles of 26 invasive squamous cell carcinomas of the oral cavity and oropharynx, 2 premalignant lesions, and 18 normal oral tissue samples using oligonucleotide arrays that contained probes representing approximately 7000 full-length human genes. RESULTS: Using hierarchical clustering analysis, the data show that oral carcinomas are distinguishable from normal oral tissue based on genome-wide transcriptional expression patterns. However, there is genetic expression profile heterogeneity among tumors of a particular histopathologic grade and stage. In addition, using a statistical approach that integrated normalization and regression analysis, the authors found 314 genes that were expressed differentially in the OSCC samples with statistical significance (P <or= 0.05). Of these, 239 genes were overexpressed in the OSCC samples, whereas 75 genes were down-regulated. CONCLUSIONS: No statistically significant differences in gene expression were found between early-stage disease and late-stage disease or between metastatic tumors and nonmetastatic tumors. The implications of these findings for the prediction of clinical outcome and for the discovery of new OSCC tumor markers are discussed.

Carcinoma, Squamous Cell↗

Microarray workshop on aging.

The advent of microarrays in studying gene expression in aging has created tremendous excitement due to its potential for uncovering molecular mechanisms of aging and age-related disease. However, the appropriate implementation of this technology in the science of aging requires serious attention to methodological detail and statistical rigor. This report highlights discussions from the microarray workshop on aging held at the First Conference on Functional Genomics of Aging in Seville, Spain. The topics discussed by the participants included technical issues relating to the printing of arrays, RNA isolation, cDNA labeling and hybridization, optimal design of microarray experiments, and statistical analysis of these data. Microarray analysis of complex tissues through the use of laser capture microdissection was also discussed.

Aging↗

Identification of protein biomarkers in Dupuytren's contracture using surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS).

BACKGROUND: To study the protein expression profiles associated with Dupuytren's contracture (DC) to identify potential disease protein biomarkers (PBM) using a proteomic technology--Surface Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). METHODS: Normal and disease palmar fascia from DC patients were analyzed using Ciphergen's SELDI-TOF-MS Protein Biological System II (PBSII) ProteinChip reader. Analysis of the resulting SELDI-TOF spectra was carried out using the peak cluster analysis program (BioMarker Wizard, Ciphergen). Common peak clusters were then filtered using a bootstrap algorithm called SAM (Significant Analysis of Microarrays) for increased fidelity in our analysis. RESULTS: Several differentially expressed low molecular weight (<20 kDa) tissue proteins were identified. Spectra generated using both ZipTipC18 aided Au array and WCX2 array based SELDI-TOF-MS were reproducible, with an average peak cluster mass standard deviation for both methods of <1.74 x10(-4). Initial peak cluster analysis of the SELDI spectra identified both up-(14) and down-(3)regulated proteins associated with DC. Further analysis of the peak cluster data using the bootstrap algorithm SAM identified three disease-associated protein features (4600.8 Da, 10254.5 Da, and 11405.1 Da) that were elevated (5.45, 11.7, and 4.28 fold, respectively, with a 0% median false discovery rate). CONCLUSION: SELDI-TOF-MS identified three potential low molecular weight tissue protein markers (p4.6DC, p1ODC, p11.7DC) for DC. The ability of SELDI-TOF-MS to resolve low molecular weight proteins suggests that the method may provide a means of deciphering the biomarker-rich low molecular weight region of the human proteome. Application of such novel technology may help clinicians to focus on specific molecular abnormalities in diseases with no known molecular pathogenesis, and uncover therapeutic and/or diagnostic targets.

Algorithms↗

[cDNA expression array in the differential expression profiles of p53 regulated genes in nasopharyngeal carcinoma and the human normal nasopharynx].

OBJECTIVE: To compare the gene expression map of nasopharyngeal carcinoma (NPC) tissue with that of the control tissue by cDNA array and to discuss possible reasons of TP53 accumulation in NPC tissue. METHODS: After the hybridization of Atlas human cancer cDNA expression array 7742-1, analysis of Atlas arrays by means of AtlasImage 1.01a was carried out. Then, the results of array were verified by reverse transcription-polymerase chain reaction (RT-PCR). Gene expression alteration on the protein level was verified by immunohistochemistry. RESULTS: 134 of 588 tumor-related genes were upregulated and 88 downregulated. Thirteen of 32 p53-regulated genes showed differential expression with 11 upregulated and 2 downregulated. CONCLUSION: (1) p53 dysfunction exists in NPC tissues, (2) MDM2, p21 and Bax may be involved in the regulation of nasopharyngeal carcinoma cell growth.

DNA, Complementary↗

The neurosteroid allopregnanolone promotes proliferation of rodent and human neural progenitor cells and regulates cell-cycle gene and protein expression.

Our previous research demonstrated that the neuroactive progesterone metabolite allopregnanolone (3alpha-hydroxy-5alpha-pregnan-20-one) rapidly induced hippocampal neuron neurite regression (Brinton, 1994). We hypothesized that allopregnanolone-induced neurite regression was a prelude to mitogenesis initiated by a rise in intracellular calcium. Supporting this hypothesis, the current data demonstrate that allopregnanolone, in a dose-dependent manner, induces a significant increase in proliferation of neuroprogenitor cells (NPCs) derived from the rat hippocampus and human neural stem cells (hNSCs) derived from the cerebral cortex. Proliferation was determined by incorporation of bromodeoxyuridine and [3H]thymidine, fluorescence-activated cell sorter analysis of murine leukemia virus-green fluorescent protein-labeled mitotic NPCs, and total cell number counting. Allopregnanolone-induced proliferation was isomer and steroid specific, in that the stereoisomer 3beta-hydroxy-5beta-pregnan-20-one and related steroids did not increase [3H]thymidine uptake. Immunofluorescent analyses for the NPC markers nestin and Tuj1 indicated that newly formed cells were of neuronal lineage. Furthermore, microarray analysis of cell-cycle genes and real-time reverse transcription-PCR and Western blot validation revealed that allopregnanolone increased the expression of genes that promote mitosis and inhibited the expression of genes that repress cell proliferation. Allopregnanolone-induced proliferation was antagonized by the voltage-gated L-type calcium channel (VGLCC) blocker nifedipine, consistent with the finding that allopregnanolone induces a rapid increase in intracellular calcium in hippocampal neurons via a GABA type A receptor-activated VGLCC (Son et al., 2002). These data demonstrate that allopregnanolone significantly increased rat NPC and hNSC proliferation with concomitant regulation in mitotic cell-cycle genes via a VGLCC mechanism. The therapeutic potential of allopregnanolone as a neurogenic molecule is discussed.

Analysis of Variance↗

[Micro-array based technologies to study the proteome: technological progress and applications].

Since these twenty last years, there is an increasing interest for large-scale analysis of biological function. In the field of transcriptome, the emergence of microarray-based technologies and the design of DNA biochips allow high-throughput studies of RNA expression in cell and tissue at a given moment. In the field of proteome, methods of reference are still the 2D electrophoresis followed by analysis with mass spectrometry. Technological progress makes it possible to apply microarray methods to proteomics study : they are protein biochips or protein arrays. Expression analysis of proteins in a cell or a tissue in simultaneous and highly parallel way give further information for large-scale studies of signaling pathway. Numerous applications of protein microarray-based assays are described in basic biological research and in medical research to identify diagnostic biomarkers of inflammatory and cancerous pathologies and to find out news drugs and new therapeutic targets. This review summarizes concrete applications of microarray-based technology in the field of proteome, describes fundamental technical stages in protein array development and highlights critical points which will be useful to improve this emerging proteomic method.

Protein Array Analysis↗

Shear force at the cell-matrix interface: enhanced analysis for microfabricated post array detectors.

The interplay of mechanical forces between the extracellular environment and the cytoskeleton drives development, repair, and senescence in many tissues. Quantitative definition of these forces is a vital step in understanding cellular mechanosensing. Microfabricated post array detectors (mPADs) provide direct measurements of cell-generated forces during cell adhesion to extracellular matrix. A new approach to mPAD post labeling, volumetric imaging, and an analysis of post bending mechanics determined that cells apply shear forces and not point moments at the matrix interface. In addition, these forces could be accurately resolved from post deflections by using images of post tops and bases. Image analysis tools were then developed to increase the precision and throughput of post centroid location. These studies resulted in an improved method of force measurement with broad applicability and concise execution using a fully automated force analysis system. The new method measures cell-generated forces with less than 5% error and less than 90 seconds of computational time. Using this approach, we demonstrated direct and distinct relationships between cellular traction force and spread cell surface area for fibroblasts, endothelial cells, epithelial cells and smooth muscle cells.

Actomyosin↗

Gene expression screening of salivary gland neoplasms: molecular markers of potential histogenetic and clinical significance.

Salivary gland neoplasms comprise phenotypically and biologically diverse lesions of uncertain histogenesis. The molecular events associated with their development and clinicopathological heterogeneity remain unknown. To reveal these events, we performed microarray expression analysis using a nylon-filter membrane platform on 18 primary lesions representing the most common benign and malignant types. Our study identified a small set of genes that are differentially altered between normal salivary gland tissues and benign and malignant tumors. Of the 5000 genes arrayed, 136 genes were differentially expressed by normal tissue, benign tumors, and various malignant neoplasms. Hierarchical clustering analysis differentiated between adenoid cystic carcinomas (ACCs) and other malignant subtypes. Non-ACC specimens manifested overlapping patterns of gene expression within and between tumors. Most of the differentially expressed genes share functional similarities with members of the adhesion, proliferation, and signal transduction pathways. Our study identified: 1) a set of genes that differentiate normal tissue from tumor specimens, 2) genes that differentiate pleomorphic adenoma and ACCs from other malignant salivary gland neoplasms, and 3) different patterns of expression between ACCs arising from major and minor salivary gland sites. The differentially expressed genes provide new information on potential genetic events of biological significance in future studies of salivary gland tumorigenesis.

Biomarkers, Tumor↗

Protein profiling in respiratory disease: techniques and impact.

Multifactorial diseases such as respiratory disease call for a global analysis of such disorders. Recent advances in protein profiling techniques may allow for early diagnosis of respiratory disease, which is crucial for intervention and treatment. In order to reduce false-positive rates, clinical diagnosis requires a high degree of sensitivity and specificity to be an effective screening tool. Protein profiles identified by ProteinChip (Ciphergen Biosystems) technology coupled with mass spectrometry affords a global analysis of clinical samples and is beginning to reach acceptable levels of sensitivity and specificity. Combining the profile with another diagnostic tool enhances the effectiveness of protein profiles to classify disease. Although current efforts have centered on serum protein profiling, the local environment of the lung may be better reflected in proteins of bronchoalveolar lavage or sputum. Identification of biomarkers of disease by protein profiling analyses may lead to an understanding of the mechanisms of this disease and contribute to the discovery of new therapeutics for the prevention and treatment of disease. Advancing these analyses are techniques such as ProteinChip mass spectrometry, laser capture microdissection, tissue microarrays and fluorescently labeled antibody bead arrays, which enable the direct global analysis of complex mixtures. Effective high-throughput and ease of use of clinical testing will arrive with improvements in bioinformatics and decreases in instrumentation costs.

Antibodies↗

Identification of disease-specific genes in chronic pancreatitis using DNA array technology.

OBJECTIVE: To use DNA arrays to analyze the differential gene expression patterns in the normal pancreas and in pancreatic diseases. SUMMARY BACKGROUND DATA: Genome-wide gene expression analysis will provide new insights into gene function and cause of disease. METHODS: RNA was extracted from eight normal pancreatic specimens, eight specimens with chronic pancreatitis (CP), and eight pancreatic cancer (PCa) tissues. Poly A(+) RNA was purified, reverse-transcribed, and converted into cRNA using biotinylated nucleotides. The HuGeneFL DNA array containing 5,600 full-length human genes was used for analysis. RESULTS: First, normal pancreatic tissues were analyzed in comparison with a panel of other normal tissues (colon, liver, prostate, lung, lymph node). This analysis revealed 11 signature genes that were selectively expressed in the pancreas (e.g., pancreatic elastase-IIA). Comparison of the expression of 5,600 genes between the normal pancreas, CP, and PCa specimens showed that the expression of 34 genes was decreased in CP tissues compared with normal pancreatic tissues, and that the expression of all of these genes was simultaneously decreased in PCa. In addition, the expression of 157 genes was increased in CP tissues compared with the normal pancreas. Of those, 152 genes were simultaneously increased in PCa. Thus, only 5 of 5,600 genes were significantly overexpressed in CP compared with both normal pancreas and PCa. CONCLUSIONS: The majority of alterations observed in CP are present in PCa, and the number of genes whose expression is selectively deregulated in CP is surprisingly small. These results may provide new insight into the pathobiology of CP and help identify certain molecular alterations that might serve as targets for new diagnostic tools and disease-specific therapy.

Adult↗

Application of array CGH on archival formalin-fixed paraffin-embedded tissues including small numbers of microdissected cells.

Array-based comparative genomic hybridisation (aCGH) has diverse applications in cancer gene discovery and translational research. Currently, aCGH is performed primarily using high molecular weight DNA samples and its application to formalin-fixed and paraffin-embedded (FFPE) tissues remains to be established. To explore how aCGH can be reliably applied to archival FFPE tissues and whether it is possible to apply aCGH to small numbers of cells microdissected from FFPE tissue sections, we have systematically performed aCGH on 15 pairs of matched frozen and FFPE astrocytic tumour tissues using a well-established in-house human 1 Mb BAC/PAC genomic array. By spiking tumour DNA with normal DNA, we demonstrated that at least 70% of tumour DNA was required for reliable aCGH analysis. Using aCGH data from frozen tissue as a reference, it was found that only FFPE astrocytic tumour tissues that supported PCR amplification of >300 bp DNA fragment provided high quality, reproducible aCGH data. The presence of necrosis in a tissue specimen had an adverse effect on the quality of aCGH, while fixation in formalin for up to 96 h of fresh tissue did not appear to affect the quality of the result. As little as 10-20 ng DNA from frozen or FFPE tissues could be readily used for aCGH analysis following whole genome amplification (WGA). Furthermore, as few as 2000 microdissected cells from haematoxylin-stained slides of archival FFPE tissues could be successfully used for aCGH investigations when WGA was used. By careful assessment of DNA integrity and review of histology, to exclude necrosis and select specimens with a high proportion of tumour cells, it is feasible to preselect archival FFPE tissues adequate for aCGH analysis. With the help of microdissection and WGA, it is also possible to apply aCGH to histologically defined lesions, such as carcinoma in situ.

Astrocytoma↗

Biologically meaningful expression profiling across species using heterologous hybridization to a cDNA microarray.

BACKGROUND: Unravelling the path from genotype to phenotype, as it is influenced by an organism's environment, is one of the central goals in biology. Gene expression profiling by means of microarrays has become very prominent in this endeavour, although resources exist only for relatively few model systems. As genomics has matured into a comparative research program, expression profiling now also provides a powerful tool for non-traditional model systems to elucidate the molecular basis of complex traits. RESULTS: Here we present a microarray constructed with approximately 4500 features, derived from a brain-specific cDNA library for the African cichlid fish Astatotilapia burtoni (Perciformes). Heterologous hybridization, targeting RNA to an array constructed for a different species, is used for eight different fish species. We quantified the concordance in gene expression profiles across these species (number of genes and fold-changes). Although most robust when target RNA is derived from closely related species (<10 MA divergence time), our results showed consistent profiles for other closely related taxa (approximately 65 MA divergence time) and, to a lesser extent, even very distantly related species (>200 MA divergence time). CONCLUSION: This strategy overcomes some of the restrictions imposed on model systems that are of importance for evolutionary and ecological studies, but for which only limited sequence information is available. Our work validates the use of expression profiling for functional genomics within a comparative framework and provides a foundation for the molecular and cellular analysis of complex traits in a wide range of organisms.

Animals↗

Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification.

MOTIVATION: Genes are often characterized dichotomously as either housekeeping or single-tissue specific. We conjectured that crucial functional information resides in genes with midrange profiles of expression. RESULTS: To obtain such novel information genome-wide, we have determined the mRNA expression levels for one of the largest hitherto analyzed set of 62 839 probesets in 12 representative normal human tissues. Indeed, when using a newly defined graded tissue specificity index tau, valued between 0 for housekeeping genes and 1 for tissue-specific genes, genes with midrange profiles having 0.15< tau<0.85 were found to constitute >50% of all expression patterns. We developed a binary classification, indicating for every gene the I(B) tissues in which it is overly expressed, and the 12-I(B) tissues in which it shows low expression. The 85 dominant midrange patterns with I(B)=2-11 were found to be bimodally distributed, and to contribute most significantly to the definition of tissue specification dendrograms. Our analyses provide a novel route to infer expression profiles for presumed ancestral nodes in the tissue dendrogram. Such definition has uncovered an unsuspected correlation, whereby de novo enhancement and diminution of gene expression go hand in hand. These findings highlight the importance of gene suppression events, with implications to the course of tissue specification in ontogeny and phylogeny. AVAILABILITY: All data and analyses are publically available at the GeneNote website, http://genecards.weizmann.ac.il/genenote/ and, GEO accession GSE803. CONTACT: doron.lancet@weizmann.ac.il SUPPLEMENTARY INFORMATION: Four tables available at the above site.

Algorithms↗

Evolutionary conservation of expression profiles between human and mouse orthologous genes.

Mouse models are often used to study human genes because it is believed that the expression and function are similar for the majority of orthologous genes between the two species. However, recent comparisons of microarray data from thousands of orthologous human and mouse genes suggested rapid evolution of gene expression profiles under minimal or no selective constraint. These findings appear to contradict non-array-based observations from many individual genes and imply the uselessness of mouse models for studying human genes. Because absolute levels of gene expression are not comparable between species when the data are generated by species-specific microarrays, use of relative mRNA abundance among tissues (RA) is preferred to that of absolute expression signals. We thus reanalyze human and mouse genome-wide gene expression data generated by oligonucleotide microarrays. We show that the mean correlation coefficient among expression profiles detected by different probe sets of the same gene is only 0.38 for humans and 0.28 for mice, indicating that current measures of expression divergence are flawed because the large estimation error (discrepancy in expression signal detected by different probe sets of the same gene) is mistakenly included in the between-species divergence. When this error is subtracted, 84% of human-mouse orthologous gene pairs show significantly lower expression divergence than that of random gene pairs. In contrast to a previous finding, but consistent with the common sense, expression profiles of orthologous tissues between species are more similar to each other than to those of nonorthologous tissues. Furthermore, the evolutionary rate of expression divergence and that of coding sequence divergence are found to be weakly, but significantly positively correlated, when RA and the Euclidean distance are used to measure expression-profile divergence. These results highlight the importance of proper consideration of various estimation errors in comparing the microarray data between species.

Animals↗

Global gene expression profiles reveal an increase in mRNA levels of collagens, MMPs, and TIMPs in late radiation enteritis.

Radiation enteritis, a common complication of radiation therapy for abdominal and pelvic cancers, is characterized by severe transmural fibrosis associated with mesenchymal cell activation, tissue disorganization, and deposition of fibrillar collagen. To investigate the mechanisms involved in this pathological accumulation of extracellular matrix, we studied gene expression of matrix components along with that of genes involved in matrix remodeling, matrix metalloproteinases (MMPs), and tissue inhibitors of metalloproteinases (TIMPs). Hybrid selection on high-density cDNA array, real-time RT-PCR, gelatin zymography and immunohistochemistry were used to characterize the mRNA expression profile, activity, and tissue location of extracellular matrix-related genes in radiation enteritis compared with healthy ileum. cDNA array analysis revealed a strong induction of genes coding for collagens I, III, IV, VI, and VIII, SPARC, and tenascin-C, extracellular-matrix degrading enzymes (MMP-1, -2, -3, -14, -18+19), and metalloproteinase inhibitors (TIMP-1, -2, plasminogen activator inhibitor-1) in radiation enteritis. This increase was correlated with the degree of infiltration of the mucosa by inflammatory cells, and the presence of differentiated mesenchymal cells in the submucosa and muscularis propria. Despite the fact that expression of collagens, MMPs, and TIMPs simultaneously increase, quantification of net collagen deposition shows an overall accumulation of collagen. Our results indicate that late radiation enteritis tissues are subjected to active process of fibrogenesis as well as fibrolysis, with a balance toward fibrogenesis. This demonstrates that established fibrotic tissue is not scarred fixed tissue but is subjected to a dynamic remodeling process.

Biopsy↗

Cross-platform array comparative genomic hybridization meta-analysis separates hematopoietic and mesenchymal from epithelial tumors.

A series of studies have been published that evaluate the chromosomal copy number changes of different tumor classes using array comparative genomic hybridization (array CGH); however, the chromosomal aberrations that distinguish the different tumor classes have not been fully characterized. Therefore, we performed a meta-analysis of different array CGH data sets in an attempt to classify samples tested across different platforms. As opposed to RNA expression, a common reference is used in dual channel CGH arrays: normal human DNA, theoretically facilitating cross-platform analysis. To this aim, cell line and primary cancer data sets from three different dual channel array CGH platforms obtained by four different institutes were integrated. The cell line data were used to develop preprocessing methods, which performed noise reduction and transformed samples into a common format. The transformed array CGH profiles allowed perfect clustering by cell line, but importantly not by platform or institute. The same preprocessing procedures used for the cell line data were applied to data from 373 primary tumors profiled by array CGH, including controls. Results indicated that there is no apparent feature related to the institute or platform and that array CGH allows for unambiguous cross-platform meta-analysis. Major clusters with common tissue origin were identified. Interestingly, tumors of hematopoietic and mesenchymal origins cluster separately from tumors of epithelial origin. Therefore, it can be concluded that chromosomal aberrations of tumors from hematopoietic and mesenchymal origin versus tumors of epithelial origin are distinct, and these differences can be picked up by meta-analysis of array CGH data. This suggests the possibility of prospectively using combined analysis of diverse copy number data sets for cancer subtype classification.

Chromosome Aberrations↗

Impaired electroretinogram (ERG) response in apolipoprotein E-deficient mice.

PURPOSE: We investigated the effects of 35 weeks of a cholesterol diet in apolipoprotein E (apoE)-deficient mice on their ERG response. METHODS: C57BL/6J and apoE-deficient mice were fed regular mouse chow (C57-R and ApoE-R, respectively) or a cholesterol-containing diet (C57-C and ApoE-C, respectively). Retinal function was assessed by dark-adapted electroretinography (ERG). Retina tissue was also analyzed by immunohistochemical staining and nucleic acid array expression analysis performed by gene array technology. RESULTS: ApoE-C mice had diminished a- and b-wave amplitudes (60.7% +/- 8.4% (p < 0.005) and 44.8% +/- 10% (p < 0.005) of control values, respectively). Gene expression profiling revealed upregulation of several pro-apoptotic genes. Furthermore, immunohistochemistry showed increased Bax immunoreactivity. CONCLUSIONS: In the hypercholesterolemic mice, we demonstrated a loss of ERG response and induction of apoptotic activity at the gene and protein levels. Our current and previous findings suggest that cholesterol metabolism plays an important role in retinal function.

Animals↗