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u133 plus 2.0 microarray  (Thermo Fisher)


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    Thermo Fisher u133 plus 2.0 microarray
    U133 Plus 2.0 Microarray, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/u133+microarray/pm39788641-379-22-18
    Average 90 stars, based on 1 article reviews
    u133 plus 2.0 microarray - by Bioz Stars, 2026-09
    90/100 stars

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    Microarray:

    Article Title: Single-Cell Heterogeneity of EGFR Pathway Is Linked to Unique Signatures of Drug Response and Malignancy in Patient Derived Glioblastoma Stem Cells.
    Article Snippet: Because of the lack of gene name overlap from the Affymetrix U133A array used by TCGA and the Affymetrix U133 plus 2.0 microarray used for our classifications, only 789 of the original 840 genes were used to classify the samples.

    Article Title: Technological advances and computational approaches for alternative splicing analysis in single cells
    Article Snippet: Developed for single-cell short-read RNA-sequencing , Custom pipeline , ABI whole transcriptome software tool , 1 , Blastomere , Mouse , Modified single-cell cDNA amplification for microarray , SOLiD sequencer, 50 bp PE , SJ , .

    Article Title: Technological advances and computational approaches for alternative splicing analysis in single cells
    Article Snippet: , Custom pipeline , ABI whole transcriptome software tool , 33 , ESCs, ICM, Epiblast, ICM outgrowth cells , Mouse , Modified single-cell cDNA amplification for microarray , SOLiD sequencer, 50 bp PE , SJ , .

    Article Title: Single-Cell Heterogeneity of EGFR Pathway Is Linked to Unique Signatures of Drug Response and Malignancy in Patient Derived Glioblastoma Stem Cells.
    Article Snippet: All rights reserved. gene name overlap from the Affymetrix U133A array used by TCGA and the Affymetrix U133 plus 2.0 microarray used for our classifications, only 789 of the original 840 genes were used to classify the samples.

    Article Title: CRISPRs in the human genome are differentially expressed between malignant and normal adjacent to tumor tissue.
    Article Snippet: Related to our findings that sncRNAs were originating from our hCRISPRs and could be used to distinguish malignant from normal adjacent to tumor prostate tissue, the Affymetrix U133 plus 2 microarray became of interest to us, since this array contains probes to detect not only the expression of coding but also sncRNAs45,46.

    Article Title: Distinct pathway activities are associated with prognosis and response to bortezomib-containing treatment in MCL1-M based molecular subtypes of multiple myeloma.
    Article Snippet: 1 Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China 2 Clinical Research Center, The Affiliated Hospital of Guizhou Medical University, Guiyang, China 3 Department of Hematology, Beijing Chao-Yang Hospital Capital Medical University, Beijing, China 4 College of Life Sciences, Sichuan Normal University, Chengdu, China 5 Department of Pathology, Capital Medical University Sanbo Brain Hospital, Beijing, China 6 Institute of Biomedical Sciences, Henan Academy of Sciences, Zhengzhou, China 7 Department of Physiology, University of Sindh, Jamshoro, Pakistan 8 Department of Hematology, Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, China Abstract Multiple myeloma (MM) is the second most prevalent hematological malignancy and remains incurable with remarkable heterogeneity in prognosis and treatment response across the patients.. Clinical diagnosis and the existing molecular classification systems are inadequate for predicting treatment responses.. Based on the convergence between plasma cell development and MM pathogenesis, we identified a gene co-expression module centered on the plasma cell survival regulator MCL1 (MCL1 module, MCL1-M) in the transcriptomes of pre-treated MM, which enabled stratification of MM patients into MCL1-M high and MCL1-M low molecular subtypes with subtype-specific prognosis and response to bortezomib-containing treatment.

    Article Title: Population pharmacokinetic analysis of zastaprazan (JP‐1366), a novel potassium‐competitive acid blocker, in patients and healthy volunteers
    Article Snippet: The genotyping was performed with the Affymetrix DMET (Drug Metabolism Enzymes and Transporters) Plus microarray (Affymetrix) in Study 1 and with the polymerase chain reaction (PCR) in Study 2, respectively, as previously described., CYP2C19 phenotypes were categorized into normal metabolizers ( *1/*1 ), intermediate metabolizers ( *1/*2, *1/*3 ), and poor metabolizers ( *2/*2, *2/*3, *3/*3 ).

    Article Title: Population pharmacokinetic analysis of zastaprazan (JP-1366), a novel potassium-competitive acid blocker, in patients and healthy volunteers.
    Article Snippet: The genotyping was performed with the Affymetrix DMET (Drug Metabolism Enzymes and Transporters) Plus microarray (Affymetrix) in Study 1 and with the polymerase chain reaction (PCR) in Study 2, respectively, as previously described.9,11 CYP2C19 phenotypes were categorized into normal metabolizers (*1/*1), intermediate metabolizers (*1/*2, *1/*3), and poor metabolizers (*2/*2, *2/*3, *3/*3).12

    Polymerase Chain Reaction:

    Article Title: Single-Cell Heterogeneity of EGFR Pathway Is Linked to Unique Signatures of Drug Response and Malignancy in Patient Derived Glioblastoma Stem Cells.
    Article Snippet: Because of the lack of gene name overlap from the Affymetrix U133A array used by TCGA and the Affymetrix U133 plus 2.0 microarray used for our classifications, only 789 of the original 840 genes were used to classify the samples.

    Article Title: Technological advances and computational approaches for alternative splicing analysis in single cells
    Article Snippet: Developed for single-cell short-read RNA-sequencing , Custom pipeline , ABI whole transcriptome software tool , 1 , Blastomere , Mouse , Modified single-cell cDNA amplification for microarray , SOLiD sequencer, 50 bp PE , SJ , .

    Article Title: Technological advances and computational approaches for alternative splicing analysis in single cells
    Article Snippet: , Custom pipeline , ABI whole transcriptome software tool , 33 , ESCs, ICM, Epiblast, ICM outgrowth cells , Mouse , Modified single-cell cDNA amplification for microarray , SOLiD sequencer, 50 bp PE , SJ , .

    Article Title: Single-Cell Heterogeneity of EGFR Pathway Is Linked to Unique Signatures of Drug Response and Malignancy in Patient Derived Glioblastoma Stem Cells.
    Article Snippet: All rights reserved. gene name overlap from the Affymetrix U133A array used by TCGA and the Affymetrix U133 plus 2.0 microarray used for our classifications, only 789 of the original 840 genes were used to classify the samples.

    Article Title: CRISPRs in the human genome are differentially expressed between malignant and normal adjacent to tumor tissue.
    Article Snippet: Related to our findings that sncRNAs were originating from our hCRISPRs and could be used to distinguish malignant from normal adjacent to tumor prostate tissue, the Affymetrix U133 plus 2 microarray became of interest to us, since this array contains probes to detect not only the expression of coding but also sncRNAs45,46.

    Article Title: Distinct pathway activities are associated with prognosis and response to bortezomib-containing treatment in MCL1-M based molecular subtypes of multiple myeloma.
    Article Snippet: 1 Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China 2 Clinical Research Center, The Affiliated Hospital of Guizhou Medical University, Guiyang, China 3 Department of Hematology, Beijing Chao-Yang Hospital Capital Medical University, Beijing, China 4 College of Life Sciences, Sichuan Normal University, Chengdu, China 5 Department of Pathology, Capital Medical University Sanbo Brain Hospital, Beijing, China 6 Institute of Biomedical Sciences, Henan Academy of Sciences, Zhengzhou, China 7 Department of Physiology, University of Sindh, Jamshoro, Pakistan 8 Department of Hematology, Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, China Abstract Multiple myeloma (MM) is the second most prevalent hematological malignancy and remains incurable with remarkable heterogeneity in prognosis and treatment response across the patients.. Clinical diagnosis and the existing molecular classification systems are inadequate for predicting treatment responses.. Based on the convergence between plasma cell development and MM pathogenesis, we identified a gene co-expression module centered on the plasma cell survival regulator MCL1 (MCL1 module, MCL1-M) in the transcriptomes of pre-treated MM, which enabled stratification of MM patients into MCL1-M high and MCL1-M low molecular subtypes with subtype-specific prognosis and response to bortezomib-containing treatment.

    Article Title: Population pharmacokinetic analysis of zastaprazan (JP‐1366), a novel potassium‐competitive acid blocker, in patients and healthy volunteers
    Article Snippet: The genotyping was performed with the Affymetrix DMET (Drug Metabolism Enzymes and Transporters) Plus microarray (Affymetrix) in Study 1 and with the polymerase chain reaction (PCR) in Study 2, respectively, as previously described., CYP2C19 phenotypes were categorized into normal metabolizers ( *1/*1 ), intermediate metabolizers ( *1/*2, *1/*3 ), and poor metabolizers ( *2/*2, *2/*3, *3/*3 ).

    Article Title: Population pharmacokinetic analysis of zastaprazan (JP-1366), a novel potassium-competitive acid blocker, in patients and healthy volunteers.
    Article Snippet: The genotyping was performed with the Affymetrix DMET (Drug Metabolism Enzymes and Transporters) Plus microarray (Affymetrix) in Study 1 and with the polymerase chain reaction (PCR) in Study 2, respectively, as previously described.9,11 CYP2C19 phenotypes were categorized into normal metabolizers (*1/*1), intermediate metabolizers (*1/*2, *1/*3), and poor metabolizers (*2/*2, *2/*3, *3/*3).12



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    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and <t>GDS2697</t> ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.
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    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and <t>GDS2697</t> ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.
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    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and <t>GDS2697</t> ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.
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    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and <t>GDS2697</t> ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.
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    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and <t>GDS2697</t> ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.
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    Image Search Results


    Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and GDS2697 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.

    Journal: Nucleic Acids Research

    Article Title: Fam170a deficiency causes male infertility by impairing histone-to-protamine exchange during mouse spermiogenesis

    doi: 10.1093/nar/gkaf023

    Figure Lengend Snippet: Fam170a is located in the nucleus of spermatids at steps 9–13 and has a low level of mRNA in human sperm from individuals with teratozoospermia. ( A , B ) Immunofluorescence staining displayed the localization and distribution of Fam170a protein in mouse and human seminiferous tubules, respectively. Roman numerals indicate the spermatogenic stages of the tubules in WT testicular sections. S: spermatid. The specific stages of mouse tubules were determined according to published criteria [ , ]. ( C ) Schematic summary of Fam170a protein localization during spermiogenesis. ( D ) Three different microarrays captured Fam170a gene transcription levels in sperm samples from normal and teratozoospermia men. The original data source is marked at the top of the histogram. GDS2695 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2695±FAM170A ), GDS2696 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2696+FAM170A ), and GDS2697 ( https://www.ncbi.nlm.nih.gov/geoprofiles/?term=GDS2697+FAM170A ); ** P < .01, * P < .005. The data are displayed as mean ± SEM. A t -test was performed, and false discovery rate (FDR) P -values were shown. ( E ) The relative Fam170a mRNA abundance in sperm samples from normal ( n = 4) and teratozoospermia ( n = 3) men after qRT-PCR analysis. The control data are displayed as mean ± SEM.

    Article Snippet: Similarly, the data from the Illumina Sentrix Expression (HumanRef-8) microbead microarray (five normal and eight teratozoospermia samples, GDS2696) and Affymetrix U133 plus2 microarray (13 normal and 8 teratozoospermia samples, GDS2697) revealed significantly decreased Fam170a mRNA abundance in the teratozoospermia samples (Fig. ; P < .05, P < .01).

    Techniques: Immunofluorescence, Staining, Quantitative RT-PCR, Control