ELF2 Polyclonal Antibody

Total Page：16

File Type：pdf, Size：1020Kb

PRODUCT DATA SHEET Bioworld Technology,Inc. ELF2 polyclonal antibody Catalog: BS8945 Host: Rabbit Reactivity: Human,Mouse,Rat BackGround: Purification&Purity: Ets-1 is the prototype member of a family of genes iden- The antibody was affinity-purified from rabbit antiserum tified on the basis of homology to the v-Ets oncogene by affinity-chromatography using epitope-specific im- isolated from the E26 erythroblastosis virus. This family munogen and the purity is > 95% (by SDS-PAGE). of genes currently includes Ets-1, Ets-2, Erg-1–3, Elk-1, Applications: Elf-1, Elf-5, NERF, PU.1, PEA3, ERM, FEV, ER8l, Fli-1, WB 1:500 - 1:2000 TEL, Spi-B, ESE-1, ESE-3A, Net, ABT1 and ERF. Storage&Stability: Members of the Ets gene family exhibit varied patterns of Store at 4°C short term. Aliquot and store at -20°C long tissue expression and share a highly conserved carboxy term. Avoid freeze-thaw cycles. terminal domain containing a sequence related to the Specificity: SV40 large T antigen nuclear localization signal se- ELF2 polyclonal antibody detects endogenous levels of quence. This conserved domain is essential for Ets-1 ELF2 protein. binding to DNA and is likely to be responsible for the DATA: DNA binding activity of all members of the Ets gene family. Several of these proteins have been shown to rec- ognize similar motifs in DNA that share a centrally lo- cated 5'-GGAA-3' element. Product: Rabbit IgG, 1mg/ml in PBS with 0.02% sodium azide, 50% glycerol, pH7.2 Molecular Weight: Western blot analysis of extracts of various cell lines, using ELF2 anti- ~ 64kDa body. Swiss-Prot: Note: Q15723 For research use only, not for use in diagnostic procedure. Bioworld Technology, Inc. Bioworld technology, co. Ltd. Add： 1660 South Highway 100, Suite 500 St. Louis Park, Add： No 9, weidi road Qixia District Nanjing, 210046, MN 55416,USA. P. R. China. Email: [email protected] Email: [email protected] Tel: 6123263284 Tel: 0086-025-68037686 Fax: 6122933841 Fax: 0086-025-68035151 .

Copy Link

Recommended publications

ELF2 Antibody - N-Terminal Region Rabbit Polyclonal Antibody Catalog # AI10026
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 ELF2 antibody - N-terminal region Rabbit Polyclonal Antibody Catalog # AI10026 Specification ELF2 antibody - N-terminal region - Product Information Application WB Primary Accession Q15723 Other Accession Q15723-3, NP_006865, NM_006874 Reactivity Human, Mouse, Rat, Rabbit, Dog, Guinea Pig, Horse, Bovine Predicted Human, Mouse, ELF2 antibody - N-terminal region (AI10026) Rat, Rabbit, in Hum. Fetal Heart cells using Western Blot Chicken, Dog, Host: Rabbit Guinea Pig, Horse, Bovine Target Name: ELF2 Host Rabbit Sample Tissue: Human Fetal Heart Clonality Polyclonal Antibody Dilution: 1.0μg/ml Calculated MW 57 kDa KDa ELF2 antibody - N-terminal region - Additional Information Gene ID 1998 Alias Symbol EU32, NERF, NERF-2, NERF-1A, NERF-1B, NERF-1a,b Other Names ETS-related transcription factor Elf-2, ELF2 antibody - N-terminal region (AI10026) E74-like factor 2, New ETS-related factor, in Hum. Fetal Lung cells using Western Blot ELF2 {ECO:0000312|EMBL:AAF671951} Host: Rabbit Target Name: ELF2 Target/Specificity Sample Tissue: Human Fetal Lung The ELF2 gene encodes a protein that Antibody Dilution: 1.0μg/ml physically interacts with AML1 and mediates opposing effects on AML1-mediated transcription of the B cell-specific blk gene. Format Liquid. Purified antibody supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose. Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Reconstitution & Storage Add 50 ul of distilled water. Final anti-ELF2 antibody concentration is 1 mg/ml in PBS buffer with 2% sucrose.
[Show full text]
Adaptive History of the Chimpanzee Subspecies in the Genomic Era
Adaptive History of the Chimpanzee Subspecies in the Genomic Era Jessica Nye TESI DOCTORAL UPF 2018 Directors de la Tesi Jaume Bertranpetit i Hafid Laayouni CIÈNCIES EXPERIMENTALS I DE LA SALUT ii Acknowledgements I would like to thank my advisors Dr. Jaume Bertranpetit and Dr. Hafid Laayouni for guiding me during my doctoral research. I would like to thank my family and friends for supporting me during my many years of education. To my fellow lab mates, I am grateful for the theoretical discussions we had over the last four years. This work was supported by FI Agaur grant FI-DGR 2015. iii iv Abstract Chimpanzees are our closest living genetic cousins. The species consists of four subspecies, each with a unique demographic history. In order to better understand their species, a detailed map of signatures of selection will highlight important genetic differences between the four subspecies. Here, we interrogate the genome using 15 tests of selection. We simulate neutral and selective scenarios taking their unique demographic history into account in the model. We combine all these elements using a machine learning approach to highlight regions of interest in each subspecies. We specifically investigate the regions of the genome that have been selected after introgression with bonobo. We investigate the haplotype changes that have occurred since the divergence with humans in a few specially selected genes. From this, we find that the evolutionary history of each of the four subspecies is unique. That subtle differences in their demographic history and environment have greatly shaped their genetic diversity. In general, we observe signatures in selection in phenotypes involving immunity, muscle function, reproduction, and DNA repair.
[Show full text]
Original Article a Database and Functional Annotation of NF-Κb Target Genes
Int J Clin Exp Med 2016;9(5):7986-7995 www.ijcem.com /ISSN:1940-5901/IJCEM0019172 Original Article A database and functional annotation of NF-κB target genes Yang Yang, Jian Wu, Jinke Wang The State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, People’s Republic of China Received November 4, 2015; Accepted February 10, 2016; Epub May 15, 2016; Published May 30, 2016 Abstract: Backgrounds: The previous studies show that the transcription factor NF-κB always be induced by many inducers, and can regulate the expressions of many genes. The aim of the present study is to explore the database and functional annotation of NF-κB target genes. Methods: In this study, we manually collected the most complete listing of all NF-κB target genes identified to date, including the NF-κB microRNA target genes and built the database of NF-κB target genes with the detailed information of each target gene and annotated it by DAVID tools. Results: The NF-κB target genes database was established (http://tfdb.seu.edu.cn/nfkb/). The collected data confirmed that NF-κB maintains multitudinous biological functions and possesses the considerable complexity and diversity in regulation the expression of corresponding target genes set. The data showed that the NF-κB was a central regula- tor of the stress response, immune response and cellular metabolic processes. NF-κB involved in bone disease, immunological disease and cardiovascular disease, various cancers and nervous disease. NF-κB can modulate the expression activity of other transcriptional factors. Inhibition of IKK and IκBα phosphorylation, the decrease of nuclear translocation of p65 and the reduction of intracellular glutathione level determined the up-regulation or down-regulation of expression of NF-κB target genes.
[Show full text]
In Vitro Targeting of Transcription Factors to Control the Cytokine Release Syndrome in 2 COVID-19 3
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.29.424728; this version posted December 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 In vitro Targeting of Transcription Factors to Control the Cytokine Release Syndrome in 2 COVID-19 3 4 Clarissa S. Santoso1, Zhaorong Li2, Jaice T. Rottenberg1, Xing Liu1, Vivian X. Shen1, Juan I. 5 Fuxman Bass1,2 6 7 1Department of Biology, Boston University, Boston, MA 02215, USA; 2Bioinformatics Program, 8 Boston University, Boston, MA 02215, USA 9 10 Corresponding author: 11 Juan I. Fuxman Bass 12 Boston University 13 5 Cummington Mall 14 Boston, MA 02215 15 Email: [email protected] 16 Phone: 617-353-2448 17 18 Classification: Biological Sciences 19 20 Keywords: COVID-19, cytokine release syndrome, cytokine storm, drug repurposing, 21 transcriptional regulators 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.12.29.424728; this version posted December 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 22 Abstract 23 Treatment of the cytokine release syndrome (CRS) has become an important part of rescuing 24 hospitalized COVID-19 patients. Here, we systematically explored the transcriptional regulators 25 of inflammatory cytokines involved in the COVID-19 CRS to identify candidate transcription 26 factors (TFs) for therapeutic targeting using approved drugs.
[Show full text]
Genome-Wide Analysis of the Zebrafish ETS Family Identifies Three Genes Required for Hemangioblast Differentiation Or Angiogenesis
Genome-Wide Analysis of the Zebrafish ETS Family Identifies Three Genes Required for Hemangioblast Differentiation or Angiogenesis Feng Liu, Roger Patient Abstract—ETS domain transcription factors have been linked to hematopoiesis, vasculogenesis, and angiogenesis. However, their biological functions and the mechanisms of action, remain incompletely understood. Here, we have performed a systematic analysis of zebrafish ETS domain genes and identified 31 in the genome. Detailed gene expression profiling revealed that 12 of them are expressed in blood and endothelial precursors during embryonic development. Combined with a phylogenetic tree assay, this suggests that some of the coexpressed genes may have redundant or additive functions in these cells. Loss-of-function analysis of 3 of them, erg, fli1, and etsrp, demonstrated that erg and fli1 act cooperatively and are required for angiogenesis possibly via direct regulation of an endothelial cell junction molecule, VE-cadherin, whereas etsrp is essential for primitive myeloid/endothelial progenitors (hemangio- blasts) in zebrafish. Taken together, these results provide a global view of the ETS genes in the zebrafish genome during embryogenesis and provide new insights on the functions and biology of erg, fli1, and etsrp, which could be applicable to higher vertebrates, including mice and humans. (Circ Res. 2008;103:1147-1154.) Key Words: zebrafish Ⅲ gene duplication Ⅲ ETS transcription factors Ⅲ hemangioblast Ⅲ angiogenesis ebrafish has been recognized as an excellent genetic and during embryonic development and adulthood and have been Zdevelopmental biology model to study hematopoiesis linked with diverse biological processes, from hematopoiesis, and vessel development. Large numbers of genetic mutants vasculogenesis, and angiogenesis to neurogenesis. Many and transgenic lines in both blood and endothelial lineages important blood and endothelial regulators have well- have become available.
[Show full text]
Analysis of Gene Expression in Wild Type and Notch1 Mutant Retinal Cells by Single Cell Profiling Karolina Mizeracka1, Jeffrey M
Research Article Developmental Dynamics DOI 10.1002/dvdy.24006 Analysis of gene expression in wild type and Notch1 mutant retinal cells by single cell profiling Karolina Mizeracka1, Jeffrey M. Trimarchi1,2, Michael B. Stadler3, Constance L. Cepko1,4 1 Department of Genetics, Department of Ophthalmology, Harvard Medical School, Boston, MA 02115 2 Current Address: Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50014 3 Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland 4 Howard Hughes Medical Institute, Department of Genetics, Department of Ophthalmology, Harvard Medical School, Boston, MA 02115 Correspondence: Constance Cepko 77 Avenue Louis Pasteur, Boston, MA 02115 Phone: (617) 432-7618 Fax: (617) 432-7595 Running title: Single cell profiling of Notch1 mutant retinal cells Key words: retina, progenitor, microarray, cell fate Summary: • Profiling of individual Notch1 deficient and wild type postnatal retinal cells on microarrays reveals changes in gene expression obscured by whole tissue analysis • Notch1 deficient cells downregulate progenitor and cell cycle markers with a concomitant upregulation in early rod photoreceptor markers • Based on classification, single Notch1 deficient and wild type cells represent Developmental Dynamics transition from progenitor to postmitotic cell • Individual wild type retinal cells express cell type markers of both photoreceptors and interneurons Grant sponsor and number: National Institutes of Health Grant R01EY09676 Accepted Articles are accepted, unedited articles for future issues, temporarily published online in advance of the final edited version. © 2013 Wiley Periodicals, Inc. Received: Mar 04, 2013; Revised: May 02, 2013; Accepted: May 13, 2013 Developmental Dynamics Page 2 of 66 Abstract Background: The vertebrate retina comprises sensory neurons, the photoreceptors, as well as many other types of neurons and one type of glial cell.
[Show full text]
Xo PANEL DNA GENE LIST
xO PANEL DNA GENE LIST ~1700 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes (at 400 -500x average coverage on tumor) Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11
[Show full text]
List of Genes Associated with Nasopharyngeal Carcinoma Gene Symbol Gene Name Reference
List of genes associated with nasopharyngeal carcinoma Gene symbol Gene name Reference LOC344967 Acyl-CoA thioesterase 7 pseudogene 16423998 ITGA9 Integrin subunit alpha 9 19478819, 26372814 EBNA1 Nuclear antigen EBNA-1 22815911, 24190575, 24460960, 24753359, 28810605 LMP1 Latent membrane protein LMP-1 22815911, 14678988, 23868181, 27049918, 23939952 LMP2 Membrane protein LMP-2A 17980397, 24630965, 26292668, 22815911 BARF1 BARF1 protein BARF1 22815911, 15778977, 29562599, 23996634, 22406129 FHIT Fragile histidine triad 22815911, 23534718 EGFR Epidermal growth factor receptor 23416081, 26339373, 28129778, 18367518, 27203742 COX2 Cytochrome c oxidase subunit II 23416081, 25553117, 26261650, 28435473, 28732079 CCNE1 Cyclin E1 23416081 hTERT Telomerase reverse transcriptase 23416081, 24648937, 21233856, 24615621, 25153197 MMP2 Matrix metallopeptidase 2 23416081, 28129778, 17607721, 25066400, 26546460 MMP9 Matrix metallopeptidase 9 23416081, 23409137, 22957092, 24243817, 28380444 NF-κB Nuclear factor kappa B subunit 1 23416081, 28380444, 23868181, 28969015, 26172457 VEGF Vascular endothelial growth factor A 23416081, 28243126, 26275421, 21233856, 26717040 WNT3 Wnt family member 3 23416081 URG4/URGCP Upregulator of cell proliferation 29775749, 28315691 TNFAIP2 TNF alpha induced protein 2 21057457, 23975427 FAS Fas cell surface death receptor 16473667, 26275421 TRIM26 Tripartite motif containing 26 29956500 PTEN Phosphatase and tensin homolog 24604064, 25365510, 24632578, 20053927, 27840403 CDK5 Cyclin dependent kinase 5 26339373 P53 Tumor protein
[Show full text]
Positional Specificity of Different Transcription Factor Classes Within Enhancers
Positional specificity of different transcription factor classes within enhancers Sharon R. Grossmana,b,c, Jesse Engreitza, John P. Raya, Tung H. Nguyena, Nir Hacohena,d, and Eric S. Landera,b,e,1 aBroad Institute of MIT and Harvard, Cambridge, MA 02142; bDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139; cProgram in Health Sciences and Technology, Harvard Medical School, Boston, MA 02215; dCancer Research, Massachusetts General Hospital, Boston, MA 02114; and eDepartment of Systems Biology, Harvard Medical School, Boston, MA 02215 Contributed by Eric S. Lander, June 19, 2018 (sent for review March 26, 2018; reviewed by Gioacchino Natoli and Alexander Stark) Gene expression is controlled by sequence-specific transcription type-restricted enhancers (active in <50% of the cell types) and factors (TFs), which bind to regulatory sequences in DNA. TF ubiquitous enhancers (active in >90% of the cell types) (SI Ap- binding occurs in nucleosome-depleted regions of DNA (NDRs), pendix, Fig. S1C). which generally encompass regions with lengths similar to those We next sought to infer functional TF-binding sites within the protected by nucleosomes. However, less is known about where active regulatory elements. In a recent study (5), we found that within these regions specific TFs tend to be found. Here, we char- TF binding is strongly correlated with the quantitative DNA acterize the positional bias of inferred binding sites for 103 TFs accessibility of a region. Furthermore, the TF motifs associated within ∼500,000 NDRs across 47 cell types. We find that distinct with enhancer activity in reporter assays in a cell type corre- classes of TFs display different binding preferences: Some tend to sponded closely to those that are most enriched in the genomic have binding sites toward the edges, some toward the center, and sequences of active regulatory elements in that cell type (5).
[Show full text]
Strong Binding Activity of Few Transcription Factors Is a Major Determinant of Open Chromatin
bioRxiv preprint doi: https://doi.org/10.1101/204743; this version posted December 12, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Strong binding activity of few transcription factors is a major determinant of open chromatin Bei Wei1, Arttu Jolma1, Biswajyoti Sahu2, Lukas M. Orre3, Fan Zhong1, Fangjie Zhu1, Teemu Kivioja2, Inderpreet Kaur Sur1, Janne Lehtiö3, Minna Taipale1 and Jussi Taipale1,2,4* 1Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, and Department of Biosciences and Nutrition, Karolinska Institutet, SE 141 83, Stockholm, Sweden 2Genome-Scale Biology Program, P.O. Box 63, FI-00014 University of Helsinki, Finland 3Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, SE 141 83, Stockholm, Sweden 4Department of Biochemistry, University of Cambridge, United Kingdom *To whom correspondence should be addressed. E-mail: [email protected] Abstract It is well established that transcription factors (TFs) play crucial roles in determining cell identity, and that a large fraction of all TFs are expressed in most cell types. In order to globally characterize activities of TFs in cells, we have developed a novel massively parallel protein activity assay, Active TF Identification (ATI) that measures DNA-binding activity of all TFs from any species or tissue type. In contrast to previous studies based on mRNA expression or protein abundance, we found that a set of TFs binding to only around ten distinct motifs display strong DNA-binding activity in any given cell or tissue type.
[Show full text]
Mutational Landscape and Antiproliferative Functions of ELF
Published OnlineFirst February 26, 2016; DOI: 10.1158/0008-5472.CAN-14-3816 Cancer Molecular and Cellular Pathobiology Research Mutational Landscape and Antiproliferative Functions of ELF Transcription Factors in Human Cancer Mizuo Ando1,2, Masahito Kawazu3, Toshihide Ueno1, Daizo Koinuma4, Koji Ando5, Junji Koya6, Keisuke Kataoka6, Takahiko Yasuda1, Hiroyuki Yamaguchi1, Kazutaka Fukumura1, Azusa Yamato1, Manabu Soda1, Eirin Sai3, Yoshihiro Yamashita1, Takahiro Asakage2, Yasushi Miyazaki5, Mineo Kurokawa6, Kohei Miyazono4, Stephen D. Nimer7, Tatsuya Yamasoba2, and Hiroyuki Mano1,8 Abstract ELF4 (also known as MEF) is a member of the ETS family of ELF1 and ELF2, as in ELF4, were widespread across human transcription factors. An oncogenic role for ELF4 has been cancers, but were almost all mutually exclusive. Moreover, demonstrated in hematopoietic malignancies, but its function chromatin immunoprecipitation coupled with high-throughput in epithelial tumors remains unclear. Here, we show that ELF4 sequencing revealed ELF4-binding sites in genomic regions can function as a tumor suppressor and is somatically inacti- adjacent to genes related to cell-cycle regulation and apoptosis. vated in a wide range of human tumors. We identified a Finally, we provide mechanistic evidence that the antiprolifera- missense mutation affecting the transactivation potential of tive effects of ELF4 were mediated through the induction of ELF4 in oral squamous cell carcinoma cells. Restoration of the HRK, an activator of apoptosis, and DLX3, an inhibitor of cell transactivation activity through introduction of wild-type ELF4 growth. Collectively, our findings reveal a novel subtype of significantly inhibited cell proliferation in vitro and tumor human cancer characterized by inactivating mutations in the xenograft growth.
[Show full text]
(12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano Et Al
US 20090269772A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano et al. (43) Pub. Date: Oct. 29, 2009 (54) SYSTEMS AND METHODS FOR Publication Classification IDENTIFYING COMBINATIONS OF (51) Int. Cl. COMPOUNDS OF THERAPEUTIC INTEREST CI2O I/68 (2006.01) CI2O 1/02 (2006.01) (76) Inventors: Andrea Califano, New York, NY G06N 5/02 (2006.01) (US); Riccardo Dalla-Favera, New (52) U.S. Cl. ........... 435/6: 435/29: 706/54; 707/E17.014 York, NY (US); Owen A. (57) ABSTRACT O'Connor, New York, NY (US) Systems, methods, and apparatus for searching for a combi nation of compounds of therapeutic interest are provided. Correspondence Address: Cell-based assays are performed, each cell-based assay JONES DAY exposing a different sample of cells to a different compound 222 EAST 41ST ST in a plurality of compounds. From the cell-based assays, a NEW YORK, NY 10017 (US) Subset of the tested compounds is selected. For each respec tive compound in the Subset, a molecular abundance profile from cells exposed to the respective compound is measured. (21) Appl. No.: 12/432,579 Targets of transcription factors and post-translational modu lators of transcription factor activity are inferred from the (22) Filed: Apr. 29, 2009 molecular abundance profile data using information theoretic measures. This data is used to construct an interaction net Related U.S. Application Data work. Variances in edges in the interaction network are used to determine the drug activity profile of compounds in the (60) Provisional application No. 61/048.875, filed on Apr.
[Show full text]