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Showing 1 to 12 of 64 entries
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Beyond Genetics: What Causes Type 1 Diabetes.

Clinical reviews in allergy & immunology

Wang Z, Xie Z, Lu Q, Chang C, Zhou Z.
PMID: 27878451
Clin Rev Allergy Immunol. 2017 Apr;52(2):273-286. doi: 10.1007/s12016-016-8592-1.

Type 1 diabetes (T1D) is an autoimmune disease resulting from T cell-mediated β cell destruction in the pancreas of genetically susceptible individuals. Extensive familial and population genetic studies uncovered the strong linkage and association between HLA gene variants and...

Microarray expression profiling: analysis and applications.

Current opinion in drug discovery & development

Xiang Z, Yang Y, Ma X, Ding W.
PMID: 12833672
Curr Opin Drug Discov Devel. 2003 May;6(3):384-95.

Recent advances in the technology of massive parallel gene expression profiling using microarrays are revolutionizing biomedical research and pharmacological discovery. These new and powerful tools allow researchers to examine the dynamics of a whole biological system by simultaneously interrogating...

"The real point is control": the reception of Barbara McClintock's controlling elements.

Journal of the history of biology

Comfort NC.
PMID: 11623812
J Hist Biol. 1999;32(1):133-62. doi: 10.1023/a:1004468625863.

In the standard narrative of her life, Barbara McClintock discovered genetic transposition in the 1940s but no one believed her. She was ignored until molecular biologists of the 1970s "rediscovered" transposition and vindicated her heretical discovery. New archival documents,...

Design issues for cDNA microarray experiments.

Nature reviews. Genetics

Yang YH, Speed T.
PMID: 12154381
Nat Rev Genet. 2002 Aug;3(8):579-88. doi: 10.1038/nrg863.

No abstract available.

Short time-series microarray analysis: methods and challenges.

BMC systems biology

Wang X, Wu M, Li Z, Chan C.
PMID: 18605994
BMC Syst Biol. 2008 Jul 07;2:58. doi: 10.1186/1752-0509-2-58.

The detection and analysis of steady-state gene expression has become routine. Time-series microarrays are of growing interest to systems biologists for deciphering the dynamic nature and complex regulation of biosystems. Most temporal microarray data only contain a limited number...

Characterization and predicted role of microRNA expression profiles associated with early childhood obesity.

Molecular medicine reports

Ouyang S, Tang R, Liu Z, Ma F, Li Y, Wu J.
PMID: 28765929
Mol Med Rep. 2017 Oct;16(4):3799-3806. doi: 10.3892/mmr.2017.7118. Epub 2017 Jul 31.

MicroRNAs (miRNAs) are implicated in the pathogenesis of obesity. The aim of the present study was to characterize the miRNA profile associated with early childhood obesity in peripheral blood mononuclear cells (PBMCs). A total of 12 children (6 obese...

Time-lapse imaging of microRNA activity reveals the kinetics of microRNA activation in single living cells.

Scientific reports

Ando H, Hirose M, Kurosawa G, Impey S, Mikoshiba K.
PMID: 28974737
Sci Rep. 2017 Oct 03;7(1):12642. doi: 10.1038/s41598-017-12879-2.

MicroRNAs (miRNAs) are small, non-coding RNAs that play critical roles in the post-transcriptional regulation of gene expression. Although the molecular mechanisms of the biogenesis and activation of miRNA have been extensively studied, the details of their kinetics within individual...

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Nature communications

Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M, Foster M, Yang Q, Chen MH, Pers TH, Johnson AD, Ko YA, Fuchsberger C, Tayo B, Nalls M, Feitosa MF, Isaacs A, Dehghan A, d'Adamo P, Adeyemo A, Dieffenbach AK, Zonderman AB, Nolte IM, van der Most PJ, Wright AF, Shuldiner AR, Morrison AC, Hofman A, Smith AV, Dreisbach AW, Franke A, Uitterlinden AG, Metspalu A, Tonjes A, Lupo A, Robino A, Johansson Å, Demirkan A, Kollerits B, Freedman BI, Ponte B, Oostra BA, Paulweber B, Krämer BK, Mitchell BD, Buckley BM, Peralta CA, Hayward C, Helmer C, Rotimi CN, Shaffer CM, Müller C, Sala C, van Duijn CM, Saint-Pierre A, Ackermann D, Shriner D, Ruggiero D, Toniolo D, Lu Y, Cusi D, Czamara D, Ellinghaus D, Siscovick DS, Ruderfer D, Gieger C, Grallert H, Rochtchina E, Atkinson EJ, Holliday EG, Boerwinkle E, Salvi E, Bottinger EP, Murgia F, Rivadeneira F, Ernst F, Kronenberg F, Hu FB, Navis GJ, Curhan GC, Ehret GB, Homuth G, Coassin S, Thun GA, Pistis G, Gambaro G, Malerba G, Montgomery GW, Eiriksdottir G, Jacobs G, Li G, Wichmann HE, Campbell H, Schmidt H, Wallaschofski H, Völzke H, Brenner H, Kroemer HK, Kramer H, Lin H, Leach IM, Ford I, Guessous I, Rudan I, Prokopenko I, Borecki I, Heid IM, Kolcic I, Persico I, Jukema JW, Wilson JF, Felix JF, Divers J, Lambert JC, Stafford JM, Gaspoz JM, Smith JA, Faul JD, Wang JJ, Ding J, Hirschhorn JN, Attia J, Whitfield JB, Chalmers J, Viikari J, Coresh J, Denny JC, Karjalainen J, Fernandes JK, Endlich K, Butterbach K, Keene KL, Lohman K, Portas L, Launer LJ, Lyytikäinen LP, Yengo L, Franke L, Ferrucci L, Rose LM, Kedenko L, Rao M, Struchalin M, Kleber ME, Cavalieri M, Haun M, Cornelis MC, Ciullo M, Pirastu M, de Andrade M, McEvoy MA, Woodward M, Adam M, Cocca M, Nauck M, Imboden M, Waldenberger M, Pruijm M, Metzger M, Stumvoll M, Evans MK, Sale MM, Kähönen M, Boban M, Bochud M, Rheinberger M, Verweij N, Bouatia-Naji N, Martin NG, Hastie N, Probst-Hensch N, Soranzo N, Devuyst O, Raitakari O, Gottesman O, Franco OH, Polasek O, Gasparini P, Munroe PB, Ridker PM, Mitchell P, Muntner P, Meisinger C, Smit JH, Kovacs P, Wild PS, Froguel P, Rettig R, Mägi R, Biffar R, Schmidt R, Middelberg RP, Carroll RJ, Penninx BW, Scott RJ, Katz R, Sedaghat S, Wild SH, Kardia SL, Ulivi S, Hwang SJ, Enroth S, Kloiber S, Trompet S, Stengel B, Hancock SJ, Turner ST, Rosas SE, Stracke S, Harris TB, Zeller T, Zemunik T, Lehtimäki T, Illig T, Aspelund T, Nikopensius T, Esko T, Tanaka T, Gyllensten U, Völker U, Emilsson V, Vitart V, Aalto V, Gudnason V, Chouraki V, Chen WM, Igl W, März W, Koenig W, Lieb W, Loos RJ, Liu Y, Snieder H, Pramstaller PP, Parsa A, O'Connell JR, Susztak K, Hamet P, Tremblay J, de Boer IH, Böger CA, Goessling W, Chasman DI, Köttgen A, Kao WH, Fox CS.
PMID: 26831199
Nat Commun. 2016 Jan 21;7:10023. doi: 10.1038/ncomms10023.

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up...

Mitigating bias in planning two-colour microarray experiments.

International journal of data mining and bioinformatics

Ferhatosmanoglu N, Allen TT, Catalyurek UV.
PMID: 26529906
Int J Data Min Bioinform. 2015;13(1):31-49. doi: 10.1504/ijdmb.2015.070838.

Two-colour microarrays are used to study differential gene expression on a large scale. Experimental planning can help reduce the chances of wrong inferences about whether genes are differentially expressed. Previous research on this problem has focused on minimising estimation...

Gene function prediction with knowledge from gene ontology.

International journal of data mining and bioinformatics

Shen Y, Zhang L.
PMID: 26529907
Int J Data Min Bioinform. 2015;13(1):50-62. doi: 10.1504/ijdmb.2015.070840.

Gene function prediction is an important problem in bioinformatics. Due to the inherent noise existing in the gene expression data, the attempt to improve the prediction accuracy resorting to new classification techniques is limited. With the emergence of Gene...

MicroRNA signature of end-stage idiopathic pulmonary arterial hypertension: clinical correlations and regulation of WNT signaling.

Journal of molecular medicine (Berlin, Germany)

Boucherat O, Bonnet S.
PMID: 27236600
J Mol Med (Berl). 2016 Aug;94(8):849-51. doi: 10.1007/s00109-016-1431-2.

No abstract available.

Drug target miRNAs: chances and challenges.

Trends in biotechnology

Schmidt MF.
PMID: 25304465
Trends Biotechnol. 2014 Nov;32(11):578-585. doi: 10.1016/j.tibtech.2014.09.002. Epub 2014 Oct 08.

miRNAs, short ribonucleic acid gene regulators, are increasingly popular drug targets. Traditionally 'undruggable' proteins can be targeted via their miRNA gene regulators, enabling the treatment of diseases that, at present, seem impossible to cure. However, addressing miRNAs requires innovation...

Showing 1 to 12 of 64 entries