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Articoli di riviste sul tema "Tissue specificity"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Vinogradov, A. E. "Isochores and tissue-specificity." Nucleic Acids Research 31, no. 17 (2003): 5212–20. http://dx.doi.org/10.1093/nar/gkg699.

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2

Pei, Guangsheng, Yulin Dai, Zhongming Zhao, and Peilin Jia. "deTS: tissue-specific enrichment analysis to decode tissue specificity." Bioinformatics 35, no. 19 (2019): 3842–45. http://dx.doi.org/10.1093/bioinformatics/btz138.

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Abstract Motivation Diseases and traits are under dynamic tissue-specific regulation. However, heterogeneous tissues are often collected in biomedical studies, which reduce the power in the identification of disease-associated variants and gene expression profiles. Results We present deTS, an R package, to conduct tissue-specific enrichment analysis with two built-in reference panels. Statistical methods are developed and implemented for detecting tissue-specific genes and for enrichment test of different forms of query data. Our applications using multi-trait genome-wide association studies d

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3

Lundborg, Göran, Lars B. Dahlin, Nils Danielsen, and Ann K. Nachemson. "Tissue Specificity in Nerve Regeneration." Scandinavian Journal of Plastic and Reconstructive Surgery 20, no. 3 (1986): 279–83. http://dx.doi.org/10.3109/02844318609004486.

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4

Milgrom, Felix. "Tissue Specificity and Autoimmune Responses." Immunological Investigations 18, no. 1-4 (1989): xxxi—xliv. http://dx.doi.org/10.3109/08820138909112222.

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5

Rossignol, Rodrigue, Monique Malgat, Jean-Pierre Mazat, and Thierry Letellier. "Threshold Effect and Tissue Specificity." Journal of Biological Chemistry 274, no. 47 (1999): 33426–32. http://dx.doi.org/10.1074/jbc.274.47.33426.

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6

Alderton, Gemma. "Tissue specificity in cancer drivers." Science 363, no. 6432 (2019): 1187.14–1189. http://dx.doi.org/10.1126/science.363.6432.1187-n.

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7

Aguet, François, and Kristin G. Ardlie. "Tissue Specificity of Gene Expression." Current Genetic Medicine Reports 4, no. 4 (2016): 163–69. http://dx.doi.org/10.1007/s40142-016-0105-2.

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8

Funder, John W. "Target tissue specificity of mineralocorticoids." Trends in Endocrinology & Metabolism 1, no. 3 (1990): 145–48. http://dx.doi.org/10.1016/1043-2760(90)90026-y.

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9

de Graaf, D. C., and F. J. Jacobs. "Tissue specificity of Nosema apis." Journal of Invertebrate Pathology 58, no. 2 (1991): 277–78. http://dx.doi.org/10.1016/0022-2011(91)90073-y.

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10

Miyazaki, Jun-Ichi, Toshiki Makioka, Yoshihiro Fujiwara, and Tamio Hirabayashi. "Tissue specificity of crustacean tropomyosin." Journal of Experimental Zoology 263, no. 3 (1992): 235–44. http://dx.doi.org/10.1002/jez.1402630303.

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11

Miyazaki, Jun-Ichi, Kensuke Yahata, Toshiki Makioka, and Tamio Hirabayashi. "Tissue specificity of arthropod tropomyosin." Journal of Experimental Zoology 267, no. 5 (1993): 501–9. http://dx.doi.org/10.1002/jez.1402670505.

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12

Dion, Vincent. "Tissue specificity in DNA repair: lessons from trinucleotide repeat instability." Trends In Genetics : Tig 30, no. 6 (2014): 220–29. https://doi.org/10.1016/j.tig.2014.04.005.

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DNA must constantly be repaired to maintain genome stability. Although it is clear that DNA repair reactions depend on cell type and developmental stage, we know surprisingly little about the mechanisms that underlie this tissue specificity. This is due, in part, to the lack of adequate study systems. This review discusses recent progress toward understanding the mechanism leading to varying rates of instability at expanded trinucleotide repeats (TNRs) in different tissues. Although they are not DNA lesions, TNRs are hotspots for genome instability because normal DNA repair activities cause ch

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13

Gale, RE, H. Wheadon, P. Boulos, and DC Linch. "Tissue specificity of X-chromosome inactivation patterns." Blood 83, no. 10 (1994): 2899–905. http://dx.doi.org/10.1182/blood.v83.10.2899.2899.

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Abstract The analysis of X-chromosome inactivation patterns has been used in a number of clinical situations such as the identification of carrier status in X-linked genetic disorders and the establishment of the monoclonal origin of tumors. Interpretation of the result obtained requires comparison with the constitutive pattern for the individual, and for hematopoietic malignancies, skin biopsies or cultured fibroblasts have often been used as the control tissue because normal cells of the same lineage as the malignancy are not generally available. However, this assumes that patterns in the di

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14

McComb, Ellen A., A. Raymond Miller, and Joseph C. Scheerens. "Tissue Specificity of `Chandler' Strawberry Peroxidase Isozymes." HortScience 32, no. 3 (1997): 439B—439. http://dx.doi.org/10.21273/hortsci.32.3.439b.

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Peroxidase activity in extracts from freeze-dried tissue of Fragaria × ananassa Duch. cv. Chandler was highest in tissue-cultured (TC) plants, followed by field-grown (FG) and lowest in greenhouse (GH) plants. Among tissue types, activity was highest in petioles, with leaves second highest. Fruit, root, and crown tissue all exhibited low or no activity. When subjected to isoelectric focusing (IEF), petiole tissue extracts exhibited more isozymes than extracts from other organs regardless of staining substrate. Using 4-chloro-1-naphthol and H2O2 as substrates, anionic and cationic isozymes were

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15

Frost, H. Robert. "Analyzing cancer gene expression data through the lens of normal tissue-specificity." PLOS Computational Biology 17, no. 6 (2021): e1009085. http://dx.doi.org/10.1371/journal.pcbi.1009085.

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The genetic alterations that underlie cancer development are highly tissue-specific with the majority of driving alterations occurring in only a few cancer types and with alterations common to multiple cancer types often showing a tissue-specific functional impact. This tissue-specificity means that the biology of normal tissues carries important information regarding the pathophysiology of the associated cancers, information that can be leveraged to improve the power and accuracy of cancer genomic analyses. Research exploring the use of normal tissue data for the analysis of cancer genomics h

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16

Au, Binh, Tim Seabrook, William Andrade, Christopher A. G. McCulloch, and Jack B. Hay. "Tissue specificity of lymphocyte migration into sheep gingival tissue." Archives of Oral Biology 46, no. 9 (2001): 835–45. http://dx.doi.org/10.1016/s0003-9969(01)00038-3.

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17

Myhan, Ryszard, and Marek Markowski. "The compression specificity of plant tissue." Journal of Texture Studies 51, no. 4 (2020): 593–600. http://dx.doi.org/10.1111/jtxs.12512.

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18

LESLIE, J. B. "Haemodynamics and tissue specificity with isradipine." Acta Anaesthesiologica Scandinavica 37 (September 1993): 33–37. http://dx.doi.org/10.1111/j.1399-6576.1993.tb03822.x.

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19

Bolger, Gordon T., Francine Liard, Richard Krogsrud, Diane Thibeault, and Jorge Jaramillo. "Tissue Specificity of Endothelin Binding Sites." Journal of Cardiovascular Pharmacology 16, no. 3 (1990): 367–75. http://dx.doi.org/10.1097/00005344-199009000-00004.

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20

Mijatovic, V. "Receptor selectivity, enzymes and tissue specificity." Maturitas 37, no. 3 (2001): 147–49. http://dx.doi.org/10.1016/s0378-5122(00)00185-7.

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21

De Loof, Arnold. "Tissue specificity of steroid hormone action." Insect Biochemistry 16, no. 1 (1986): 169–73. http://dx.doi.org/10.1016/0020-1790(86)90092-2.

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22

Ahmad, Sami, Dawn L. Duval, Leanne C. Weinhold, and Ronald S. Pardini. "Cabbage looper antioxidant enzymes: Tissue specificity." Insect Biochemistry 21, no. 5 (1991): 563–72. http://dx.doi.org/10.1016/0020-1790(91)90111-q.

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23

Sun, Siman, Michael D. Osterman, and Mo Li. "Tissue specificity of DNA damage response and tumorigenesis." Cancer Biology & Medicine 16, no. 3 (2019): 396–414. http://dx.doi.org/10.20892/j.issn.2095-3941.2019.0097.

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The genome of cells is constantly challenged by DNA damages from endogenous metabolism and environmental agents. These damages could potentially lead to genomic instability and thus to tumorigenesis. To cope with the threats, cells have evolved an intricate network, namely DNA damage response (DDR) system that senses and deals with the lesions of DNA. Although the DDR operates by relatively uniform principles, different tissues give rise to distinct types of DNA damages combined with high diversity of microenvironments across tissues. In this review, we discuss recent findings on specific DNA

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24

Shi, Chun-Sheng, Na Shu, Li-Li Jiang, and Bo Jiang. "Expression and role of specificity protein 1 and collagen I in recurrent pterygial tissues." International Journal of Ophthalmology 14, no. 2 (2021): 223–27. http://dx.doi.org/10.18240/ijo.2021.02.07.

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AIM: To investigate the expression profiles of the transcription factor specificity protein 1 (Sp1) and collagen I in recurrent pterygial tissues. What is more, to compare the changes of Sp1 and collagen I among primary pterygial tissue, recurrent pterygial tissue and conjunctival tissue. METHODS: In the prospective study, we collected the pterygial tissues of 40 patients who underwent resection of primary pterygial tissue and recurrent pterygial tissue, and the conjunctival tissues of 10 patients with enucleation due to trauma. The relative expression levels of Sp1 and collagen I were analyze

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Yu, Mubin, Xiaoyuan Zhang, Jiamao Yan, et al. "Transcriptional Specificity Analysis of Testis and Epididymis Tissues in Donkey." Genes 13, no. 12 (2022): 2339. http://dx.doi.org/10.3390/genes13122339.

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Donkeys, with high economic value for meat, skin and milk production, are important livestock. However, the current insights into reproduction of donkeys are far from enough. To obtain a deeper understanding, the differential expression analysis and weighted gene co-expression network analysis (WGCNA) of transcriptomic data of testicular and epididymis tissues in donkeys were performed. In the result, there were 4313 differentially expressed genes (DEGs) in the two tissues, including 2047 enriched in testicular tissue and 2266 in epididymis tissue. WGCNA identified 1081 hub genes associated wi

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26

Godfraind, T., N. Morel, and M. Wibo. "Tissue specificity of dihydropyridine-type calcium antagonists in human isolated tissues." Trends in Pharmacological Sciences 9, no. 1 (1988): 37–39. http://dx.doi.org/10.1016/0165-6147(88)90241-6.

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27

Li, Binglan, Yogasudha Veturi, Anurag Verma, et al. "Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults." PLOS Genetics 17, no. 4 (2021): e1009464. http://dx.doi.org/10.1371/journal.pgen.1009464.

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As a type of relatively new methodology, the transcriptome-wide association study (TWAS) has gained interest due to capacity for gene-level association testing. However, the development of TWAS has outpaced statistical evaluation of TWAS gene prioritization performance. Current TWAS methods vary in underlying biological assumptions about tissue specificity of transcriptional regulatory mechanisms. In a previous study from our group, this may have affected whether TWAS methods better identified associations in single tissues versus multiple tissues. We therefore designed simulation analyses to

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28

Goroshinskaya, Irina A., Oleg I. Kit, Elena M. Frantsiyants, et al. "Specificity of markers CD44 and S100 for skin melanoma and nevi tissues." Journal of Clinical Oncology 37, no. 15_suppl (2019): e21036-e21036. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e21036.

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e21036 Background: The high metastatic potential of melanoma and the need for long-term patient monitoring causes the search for tumor markers of this malignant neoplasm. Our aim was a comparative analysis of levels of tumor-specific proteins CD44 and S100 and protein composition in melanocytic lesions of the skin. Methods: We studied 86 samples of cutaneous melanoma and nevus tissues, their perifocal tissues and resection line tissues obtained during tumor excision from 23 patients with cutaneous melanoma pT1-4N0-1M0 and 14 patients with nevi. Intact skin samples obtained from non-cancer pati

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29

Symonds, Erin L., Beibei Yao, Susanne Kartin Pedersen, David Murray, and Graeme P. Young. "Specificity of methylated BCAT1 and IKZF1 for colorectal cancer." Journal of Clinical Oncology 36, no. 4_suppl (2018): 580. http://dx.doi.org/10.1200/jco.2018.36.4_suppl.580.

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580 Background: Methylated BCAT1 and IKZF1 are useful circulating tumor DNA (ctDNA) biomarkers for detection and following the course of colorectal cancer (CRC). This study aimed to determine the specificity of methylated BCAT1/ IKZF1 for CRC detection by assaying specimens from patients with other adenocarcinomas. Methods: Blood was collected from patients with invasive adenocarcinoma of the prostate (n = 32), breast (16), oesophagus (15) or colon/rectum (212), prior to any treatment or resection, and from 245 clinically assessed controls with no known prior or current adenocarcinoma. Biopsie

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30

Zhuang, Jimmy J., and Craig P. Hunter. "Tissue Specificity ofCaenorhabditis elegansEnhanced RNA Interference Mutants." Genetics 188, no. 1 (2011): 235–37. http://dx.doi.org/10.1534/genetics.111.127209.

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31

Ruiz-Bravo, Norka. "Tissue and Cell Specificity of Immobilin Biosynthesis1." Biology of Reproduction 39, no. 4 (1988): 901–11. http://dx.doi.org/10.1095/biolreprod39.4.901.

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32

Petretto, Enrico, Jonathan M. Mangion, Nicholas Dickens, et al. "Heritability and Tissue-Specificity of Expression QTLs." PLoS Genetics preprint, no. 2006 (2005): e172. http://dx.doi.org/10.1371/journal.pgen.0020172.eor.

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Masaki, Tomoh. "Tissue Specificity of the Endothelin-Induced Responses." Journal of Cardiovascular Pharmacology 17 (1991): s1–4. http://dx.doi.org/10.1097/00005344-199100177-00002.

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MINEGISHI, YOSHIHIKO. "Tissue-specificity of cholesterol biosynthesis control mechanism." Kagaku To Seibutsu 41, no. 6 (2003): 375–77. http://dx.doi.org/10.1271/kagakutoseibutsu1962.41.375.

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35

Hattori, Tasuku, Shiro Mitsuya, Takashi Fujiwara, Andre T. Jagendorf, and Tetsuko Takabe. "Tissue specificity of glycinebetaine synthesis in barley." Plant Science 176, no. 1 (2009): 112–18. http://dx.doi.org/10.1016/j.plantsci.2008.10.003.

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36

Ishimoda-Takagi, Tadashi, Mitsuaki Kobayashi, and Masako Yaguchi. "Polymorphism and tissue specificity of scallop tropomyosin." Comparative Biochemistry and Physiology Part B: Comparative Biochemistry 83, no. 3 (1986): 515–21. http://dx.doi.org/10.1016/0305-0491(86)90289-0.

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37

Seliskar, Matej, and Damjana Rozman. "Mammalian cytochromes P450—Importance of tissue specificity." Biochimica et Biophysica Acta (BBA) - General Subjects 1770, no. 3 (2007): 458–66. http://dx.doi.org/10.1016/j.bbagen.2006.09.016.

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38

Perera, Bambarendage P. U., and Joomyeong Kim. "Sex and Tissue Specificity of Peg3 Promoters." PLOS ONE 11, no. 10 (2016): e0164158. http://dx.doi.org/10.1371/journal.pone.0164158.

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39

Benito, Manuel. "Tissue-specificity of insulin action and resistance*." Archives of Physiology and Biochemistry 117, no. 3 (2011): 96–104. http://dx.doi.org/10.3109/13813455.2011.563748.

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40

Crooks, Daniel R., Suh Young Jeong, Wing-Hang Tong, et al. "Tissue Specificity of a Human Mitochondrial Disease." Journal of Biological Chemistry 287, no. 48 (2012): 40119–30. http://dx.doi.org/10.1074/jbc.m112.418889.

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41

Yao, Fupan, Seyed Ali Madani Tonekaboni, Zhaleh Safikhani, et al. "Tissue specificity of in vitro drug sensitivity." Journal of the American Medical Informatics Association 25, no. 2 (2017): 158–66. http://dx.doi.org/10.1093/jamia/ocx062.

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Abstract Objectives We sought to investigate the tissue specificity of drug sensitivities in large-scale pharmacological studies and compare these associations to those found in drug clinical indications. Materials and Methods We leveraged the curated cell line response data from PharmacoGx and applied an enrichment algorithm on drug sensitivity values’ area under the drug dose-response curves (AUCs) with and without adjustment for general level of drug sensitivity. Results We observed tissue specificity in 63% of tested drugs, with 8% of total interactions deemed significant (false discovery

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42

Madison, Edwin L., Gary S. Coombs, and David R. Corey. "Substrate Specificity of Tissue Type Plasminogen Activator." Journal of Biological Chemistry 270, no. 13 (1995): 7558–62. http://dx.doi.org/10.1074/jbc.270.13.7558.

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KOBAYASHI, SHINYA, YAN GAO, and CONSTANCE S. PITTMAN. "The substrate specificity, tissue specificity and regulation of the 5' deiodination systems in rat liver and kidney tissues." Endocrinologia Japonica 32, no. 6 (1985): 781–92. http://dx.doi.org/10.1507/endocrj1954.32.781.

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Wu, Hua, Guolong Zhang, Christopher R. Ross, and Frank Blecha. "Cathelicidin Gene Expression in Porcine Tissues: Roles in Ontogeny and Tissue Specificity." Infection and Immunity 67, no. 1 (1999): 439–42. http://dx.doi.org/10.1128/iai.67.1.439-442.1999.

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ABSTRACT Cathelicidins constitute a family of mammalian antimicrobial peptides that are synthesized in the bone marrow as prepropeptides, stored in neutrophil granules as propeptides, and released as active, mature peptides upon neutrophil degranulation. We investigated the developmental expression of two porcine cathelicidins, PR-39 and protegrin. Both cathelicidins were expressed constitutively in the bone marrow of all pigs at all of the ages tested. Peripheral blood neutrophils from young pigs expressed PR-39 and protegrin mRNA, which were not detectable at 42 days of age. At earlier ages,

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45

Ji, Shaoquan, R. L. Losinski, S. G. Cornelius, et al. "Myostatin expression in porcine tissues: tissue specificity and developmental and postnatal regulation." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 275, no. 4 (1998): R1265—R1273. http://dx.doi.org/10.1152/ajpregu.1998.275.4.r1265.

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The objective of this study was to establish the developmental pattern and tissue specificity of porcine myostatin expression and to evaluate expression in skeletal muscle during circumstances in which muscle growth was altered. Northern blot analysis revealed two transcripts (1.5 and 0.8 kb). Myostatin mRNA was detected in whole fetuses at 21 and 35 days and was markedly increased ( P < 0.05) by 49 days. At birth, mRNA abundance in longissimus muscle had declined significantly ( P < 0.05) from that at day 105 of gestation and continued to decrease ( P < 0.05) to its lowest level 2 wk

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Biegniewska, Anna, Edward F. Skorkowski, and Kenneth B. Storey. "Tissue specificity of the mitochondrial forms of malic enzyme in herring tissues." Comparative Biochemistry and Physiology Part B: Comparative Biochemistry 95, no. 4 (1990): 817–20. http://dx.doi.org/10.1016/0305-0491(90)90322-k.

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Cheng, Kuoyuan, Nishanth Ulhas Nair, Joo Sang Lee, and Eytan Ruppin. "Synthetic lethality across normal tissues is strongly associated with cancer risk, onset, and tumor suppressor specificity." Science Advances 7, no. 1 (2021): eabc2100. http://dx.doi.org/10.1126/sciadv.abc2100.

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Various characteristics of cancers exhibit tissue specificity, including lifetime cancer risk, onset age, and cancer driver genes. Previously, the large variation in cancer risk across human tissues was found to strongly correlate with the number of stem cell divisions and abnormal DNA methylation levels. Here, we study the role of synthetic lethality in cancer risk. Analyzing normal tissue transcriptomics data in the Genotype-Tissue Expression project, we quantify the extent of co-inactivation of cancer synthetic lethal (cSL) gene pairs and find that normal tissues with more down-regulated cS

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Paul, M., D. W. Burt, J. E. Krieger, N. Nakamura, and V. J. Dzau. "Tissue specificity of renin promoter activity and regulation in mice." American Journal of Physiology-Endocrinology and Metabolism 262, no. 5 (1992): E644—E650. http://dx.doi.org/10.1152/ajpendo.1992.262.5.e644.

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Certain mouse strains (e.g., DBA/2) contain two renin genes (termed Ren-1 and Ren-2) and express higher renin levels in nonkidney tissues than strains with a single renin gene. The 5'-flanking regions of the Ren-1 and Ren-2 genes contain several TATA boxes preceding putative transcriptional start sites. These initiators are termed P1a, P1, P2 (from 5' to 3'), and their function (with the exception of P2) is largely unknown. In this study, we mapped the renin transcriptional start sites in renal and extrarenal tissues [adrenal, brain, testis, heart, and submandibular gland (SMG)] and examined t

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Dutta, Khokon Kumar. "The gradual discovery of cell-type and context specificity of microRNAs." Journal of Bioscience and Environment Research 2, no. 1 (2024): 1–3. http://dx.doi.org/10.69517/jber.2024.02.01.0001.

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The discovery of microRNAs (miRNAs) has revolutionized our understanding of gene regulation, particularly through their cell-type and context-specific functions. This perspective explores the gradual realization of miRNA specificity, beginning with the identification of lin-4 in Caenorhabditis elegans and progressing to the discovery of tissue-specific miRNAs such as miR-122 in the liver and miR-1 in muscle. A central focus is miR-34a, one of the most studied miRNAs, which exemplifies the importance of cellular context in miRNA function. miR-34a’s role in tumor suppression via the p53 pathway,

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Zhao, Jian, Wei Yao, Hanlin Gao, et al. "Degenerative Disease Diagnosis and Analysis Based on Tissue Specificity of DNA Methylation." International Journal of Molecular Sciences 26, no. 2 (2025): 452. https://doi.org/10.3390/ijms26020452.

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The tissue specificity of DNA methylation refers to the significant differences in DNA methylation patterns in different tissues. This specificity regulates gene expression, thereby supporting the specific functions of each tissue and the maintenance of normal physiological activities. Abnormal tissue-specific patterns of DNA methylation are closely related to age-related diseases. This abnormal methylation pattern affects the regulation of gene expression, which may lead to changes in cell function and promote the occurrence of pathological conditions. By analyzing the differences in these me

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