Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 75

1.

A gene signature for post-infectious chronic fatigue syndrome.

Gow JW, Hagan S, Herzyk P, Cannon C, Behan PO, Chaudhuri A.

BMC Med Genomics. 2009 Jun 25;2:38. doi: 10.1186/1755-8794-2-38.

2.

Identification of novel expressed sequences, up-regulated in the leucocytes of chronic fatigue syndrome patients.

Powell R, Ren J, Lewith G, Barclay W, Holgate S, Almond J.

Clin Exp Allergy. 2003 Oct;33(10):1450-6.

PMID:
14519154
3.

[Identification and application of marker genes for differential diagnosis of chronic fatigue syndrome].

Kawai T, Rokutan K.

Nihon Rinsho. 2007 Jun;65(6):1029-33. Review. Japanese.

PMID:
17561693
4.

Molecular signatures of peripheral blood mononuclear cells during chronic interferon-α treatment: relationship with depression and fatigue.

Felger JC, Cole SW, Pace TW, Hu F, Woolwine BJ, Doho GH, Raison CL, Miller AH.

Psychol Med. 2012 Aug;42(8):1591-603. doi: 10.1017/S0033291711002868. Epub 2011 Dec 9.

5.

Convergent genomic studies identify association of GRIK2 and NPAS2 with chronic fatigue syndrome.

Smith AK, Fang H, Whistler T, Unger ER, Rajeevan MS.

Neuropsychobiology. 2011;64(4):183-94. doi: 10.1159/000326692. Epub 2011 Sep 9.

6.

Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome.

Whistler T, Unger ER, Nisenbaum R, Vernon SD.

J Transl Med. 2003 Dec 1;1(1):10.

7.
8.

Gene expression profile exploration of a large dataset on chronic fatigue syndrome.

Fang H, Xie Q, Boneva R, Fostel J, Perkins R, Tong W.

Pharmacogenomics. 2006 Apr;7(3):429-40.

PMID:
16610953
9.
10.

Utility of the blood for gene expression profiling and biomarker discovery in chronic fatigue syndrome.

Vernon SD, Unger ER, Dimulescu IM, Rajeevan M, Reeves WC.

Dis Markers. 2002;18(4):193-9.

11.

Differential-display PCR of peripheral blood for biomarker discovery in chronic fatigue syndrome.

Steinau M, Unger ER, Vernon SD, Jones JF, Rajeevan MS.

J Mol Med (Berl). 2004 Nov;82(11):750-5. Epub 2004 Oct 14.

PMID:
15490094
12.

Rationale and study design of the CardioGene Study: genomics of in-stent restenosis.

Ganesh SK, Skelding KA, Mehta L, O'Neill K, Joo J, Zheng G, Goldstein J, Simari R, Billings E, Geller NL, Holmes D, O'Neill WW, Nabel EG.

Pharmacogenomics. 2004 Oct;5(7):952-1004.

PMID:
15469413
13.

Evidence of inflammatory immune signaling in chronic fatigue syndrome: A pilot study of gene expression in peripheral blood.

Aspler AL, Bolshin C, Vernon SD, Broderick G.

Behav Brain Funct. 2008 Sep 26;4:44. doi: 10.1186/1744-9081-4-44.

14.

Analysis of DNA strand-specific differential expression with high density tiling microarrays.

Quintales L, Sánchez M, Antequera F.

BMC Bioinformatics. 2010 Mar 17;11:136. doi: 10.1186/1471-2105-11-136.

15.

Human endogenous retrovirus-K18 superantigen expression and human herpesvirus-6 and human herpesvirus-7 viral loads in chronic fatigue patients.

Oakes B, Hoagland-Henefield M, Komaroff AL, Erickson JL, Huber BT.

Clin Infect Dis. 2013 May;56(10):1394-400. doi: 10.1093/cid/cit086. Epub 2013 Feb 13.

PMID:
23408682
16.

Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome.

Light AR, Bateman L, Jo D, Hughen RW, Vanhaitsma TA, White AT, Light KC.

J Intern Med. 2012 Jan;271(1):64-81. doi: 10.1111/j.1365-2796.2011.02405.x. Epub 2011 Jul 13.

18.

Novel biomarkers distinguishing active tuberculosis from latent infection identified by gene expression profile of peripheral blood mononuclear cells.

Lu C, Wu J, Wang H, Wang S, Diao N, Wang F, Gao Y, Chen J, Shao L, Weng X, Zhang Y, Zhang W.

PLoS One. 2011;6(8):e24290. doi: 10.1371/journal.pone.0024290. Epub 2011 Aug 31.

19.

The role of monocytes in the development of Tuberculosis-associated Immune Reconstitution Inflammatory Syndrome.

Tran HT, Van den Bergh R, Vu TN, Laukens K, Worodria W, Loembé MM, Colebunders R, Kestens L, De Baetselier P, Raes G; TB-IRIS Study Group.

Immunobiology. 2014 Jan;219(1):37-44. doi: 10.1016/j.imbio.2013.07.004. Epub 2013 Jul 25.

PMID:
23958034
20.

Assessment of a 44 gene classifier for the evaluation of chronic fatigue syndrome from peripheral blood mononuclear cell gene expression.

Frampton D, Kerr J, Harrison TJ, Kellam P.

PLoS One. 2011 Mar 30;6(3):e16872. doi: 10.1371/journal.pone.0016872.

Supplemental Content

Support Center