76.
Creating a honey bee consensus gene set
Christine
G
Elsik,
Aaron
J
Mackey,
Justin
T
Reese,
Natalia
V
Milshina,
David
S
Roos,
George
M
Weinstock
Genome Biology 2007, 8 :R13 (22 January 2007)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
|
Editor’s summary
A high-quality consensus gene set for the honey bee (Apis mellifera ) created using a new algorithm (GLEAN) is described.
77.
Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers
Antonis
C
Antoniou,
Karoline
B
Kuchenbaecker,
Penny
Soucy,
Jonathan
Beesley,
Xiaoqing
Chen,
Lesley
McGuffog,
Andrew
Lee,
Daniel
Barrowdale,
Sue
Healey,
Olga
M
Sinilnikova,
Maria
A
Caligo,
Niklas
Loman,
Katja
Harbst,
Annika
Lindblom,
Brita
Arver,
Richard
Rosenquist,
Per
Karlsson,
Kate
Nathanson,
Susan
Domchek,
Tim
Rebbeck,
Anna
Jakubowska,
Jan
Lubinski,
Katarzyna
Jaworska,
Katarzyna
Durda,
Elżbieta
Złowowcka-Perłowska,
Ana
Osorio,
Mercedes
Durán,
Raquel
Andrés,
Javier
Benítez,
Ute
Hamann
et al.
Breast Cancer Research 2012, 14 :R33 (20 February 2012)
Abstract | Full text | PDF | PubMed
78.
Evidence in the learning organization
Gerald
E
Crites,
Megan
C
McNamara,
Elie
A
Akl,
W Scott
Richardson,
Craig
A
Umscheid,
James
Nishikawa
Health Research Policy and Systems 2009, 7 :4 (26 March 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
79.
The National Cancer Institute Thyroid fine needle aspiration state of the science conference: a summation
Zubair
W
Baloch,
Edmund
S
Cibas,
Douglas
P
Clark,
Lester
J
Layfield,
Britt-Marie
Ljung,
Martha
Pitman,
Andrea
Abati
CytoJournal 2008, 5 :6 (7 April 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
80.
DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?
Nahid
Turan,
Mohamed
F
Ghalwash,
Sunita
Katari,
Christos
Coutifaris,
Zoran
Obradovic,
Carmen
Sapienza
BMC Medical Genomics 2012, 5 :10 (12 April 2012)
Abstract | Full text | PDF | PubMed
|
Editor’s summary
Profiling of inter-individual DNA methylation differences in neonates has identified 23 genes that account for 70-87% of variance in birth weight, whilst traditional gene expression profiling identified a far smaller proportion.
81.
Strategies to optimize analgesia and sedation
William
D
Schweickert,
John
P
Kress
Critical Care 2008, 12 (Suppl 3):S6 (14 May 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
82.
Monogenic hyperinsulinemic hypoglycemia: current insights into the pathogenesis
and management
Katherine
Lord,
Diva
D
De León
International Journal of Pediatric Endocrinology 2013, 2013 :3 (6 February 2013)
Abstract | Full text | PDF | PubMed
83.
Prevalence of the EH1 Groucho interaction motif in the metazoan Fox family of transcriptional regulators
Sergey
Yaklichkin,
Alexander
Vekker,
Steven
Stayrook,
Mitchell
Lewis,
Daniel
S
Kessler
BMC Genomics 2007, 8 :201 (28 June 2007)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
84.
Sex differences in microRNA regulation of gene expression: no smoke, just miRs
Christopher
P
Morgan,
Tracy
L
Bale
Biology of Sex Differences 2012, 3 :22 (26 September 2012)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
85.
The proteome of Toxoplasma gondii : integration with the genome provides novel insights into gene expression and annotation
Dong
Xia,
Sanya
J
Sanderson,
Andrew
R
Jones,
Judith
H
Prieto,
John
R
Yates,
Elizabeth
Bromley,
Fiona
M
Tomley,
Kalpana
Lal,
Robert
E
Sinden,
Brian
P
Brunk,
David
S
Roos,
Jonathan
M
Wastling
Genome Biology 2008, 9 :R116 (21 July 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
|
Editor’s summary
A proteomics analysis identifies one third of the predicted Toxoplasma gondii proteins and integrates proteomics and genomics data to refine genome annotation.
86.
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
Tim
F
Rayner,
Philippe
Rocca-Serra,
Paul
T
Spellman,
Helen
C
Causton,
Anna
Farne,
Ele
Holloway,
Rafael
A
Irizarry,
Junmin
Liu,
Donald
S
Maier,
Michael
Miller,
Kjell
Petersen,
John
Quackenbush,
Gavin
Sherlock,
Christian
J
Stoeckert,
Joseph
White,
Patricia
L
Whetzel,
Farrell
Wymore,
Helen
Parkinson,
Ugis
Sarkans,
Catherine
A
Ball,
Alvis
Brazma
BMC Bioinformatics 2006, 7 :489 (6 November 2006)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
|
Editor’s summary
A new spreadsheet-based format for microarray data, MAGE-TAB, is simple to use and fully compliant with MIAME and MAGE-ML standards making it very suitable for labs without bioinformatics expertise.
87.
Agricultural chemical exposures and birth defects in the Eastern Cape Province, South Africa A case – control study
Gudrun
A
Heeren,
Joanne
Tyler,
Andrew
Mandeya
Environmental Health: A Global Access Science Source 2003, 2 :11 (4 October 2003)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
88.
GAGE: generally applicable gene set enrichment for pathway analysis
Weijun
Luo,
Michael
S
Friedman,
Kerby
Shedden,
Kurt
D
Hankenson,
Peter
J
Woolf
BMC Bioinformatics 2009, 10 :161 (27 May 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
89.
Human breast cancer associated fibroblasts exhibit subtype specific gene expression profiles
Julia
Tchou,
Andrew
V
Kossenkov,
Lisa
Chang,
Celine
Satija,
Meenhard
Herlyn,
Louise
C
Showe,
Ellen
Puré
BMC Medical Genomics 2012, 5 :39 (6 September 2012)
Abstract | Full text | PDF | PubMed
90.
Overview of BioCreative II gene mention recognition
Larry
Smith,
Lorraine
K
Tanabe,
Rie
Ando,
Cheng-Ju
Kuo,
I-Fang
Chung,
Chun-Nan
Hsu,
Yu-Shi
Lin,
Roman
Klinger,
Christoph
M
Friedrich,
Kuzman
Ganchev,
Manabu
Torii,
Hongfang
Liu,
Barry
Haddow,
Craig
A
Struble,
Richard
J
Povinelli,
Andreas
Vlachos,
William
A
Baumgartner,
Lawrence
Hunter,
Bob
Carpenter,
Richard
Tsai,
Hong-Jie
Dai,
Feng
Liu,
Yifei
Chen,
Chengjie
Sun,
Sophia
Katrenko,
Pieter
Adriaans,
Christian
Blaschke,
Rafael
Torres,
Mariana
Neves,
Preslav
Nakov,
Anna
Divoli,
Manuel
Maña-López,
Jacinto
Mata,
W John
Wilbur
et al.
Genome Biology 2008, 9 (Suppl 2):S2 (1 September 2008)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
91.
Accurate microRNA target prediction correlates with protein repression levels
Manolis
Maragkakis,
Panagiotis
Alexiou,
Giorgio
L
Papadopoulos,
Martin
Reczko,
Theodore
Dalamagas,
George
Giannopoulos,
George
Goumas,
Evangelos
Koukis,
Kornilios
Kourtis,
Victor
A
Simossis,
Praveen
Sethupathy,
Thanasis
Vergoulis,
Nectarios
Koziris,
Timos
Sellis,
Panagiotis
Tsanakas,
Artemis
G
Hatzigeorgiou
BMC Bioinformatics 2009, 10 :295 (18 September 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
92.
Many LINE1 elements contribute to the transcriptome of human somatic cells
Sanjida
H
Rangwala,
Lili
Zhang,
Haig
H
Kazazian
Genome Biology 2009, 10 :R100 (22 September 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
|
Editor’s summary
Over 600 LINE 1 elements are shown to be transcribed in humans; 400 of these are full-length elements in the reference genome.
93.
Emerging role of radiolabeled nanoparticles as an effective diagnostic technique
AndréLuís
de Barros,
Andrew
Tsourkas,
Babak
Saboury,
Valbert
Cardoso,
Abass
Alavi
EJNMMI Research 2012, 2 :39 (18 July 2012)
Abstract | Full text | PDF | PubMed
94.
The effect of real-time CPR feedback and post event debriefing on patient and processes focused outcomes: A cohort study: trial protocol
Gavin
D
Perkins,
Robin
P
Davies,
Sarah
Quinton,
Sarah
Woolley,
Fang
Gao,
Ben
Abella,
Nigel
Stallard,
Matthew
W
Cooke,
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2011, 19 :58 (18 October 2011)
Abstract | Full text | PDF | PubMed
95.
Activation of human B cells by the agonist CD40 antibody CP-870,893 and augmentation with simultaneous toll-like receptor 9 stimulation
Erica
L
Carpenter,
Rosemarie
Mick,
Jens
Rüter,
Robert
H
Vonderheide
Journal of Translational Medicine 2009, 7 :93 (11 November 2009)
Abstract | Full text | PDF | PubMed | Cited on BioMed Central
96.
IL-21 promotes the expansion of CD27+ CD28+ tumor infiltrating lymphocytes with high cytotoxic potential and low collateral expansion of regulatory T cells
Saskia
JAM
Santegoets,
Annelies
W
Turksma,
Megan
M
Suhoski,
Anita
GM
Stam,
Steve
M
Albelda,
Erik
Hooijberg,
Rik
J
Scheper,
Alfons
JM
van den Eertwegh,
Winald
R
Gerritsen,
Daniel
J
Powell,
Carl
H
June,
Tanja
D
de Gruijl
Journal of Translational Medicine 2013, 11 :37 (12 February 2013)
Abstract | Full text | PDF | PubMed
97.
An endogenous F-box protein regulates ARGONAUTE1 in Arabidopsis thaliana
K
Earley,
MR
Smith,
R
Weber,
BD
Gregory,
RS
Poethig
Silence 2010, 1 :15 (12 July 2010)
Abstract | Full text | PDF | PubMed
|
Editor’s summary
An endogenous F-box protein negatively regulates the protein levels of ARGONAUTE1, a core component of the RNA-induced silencing complex, and affects the sensitivity of plants to the growth regulator abscisic acid.
98.
Stat and interferon genes identified by network analysis differentially regulate primitive and definitive erythropoiesis
Emily
Greenfest-Allen,
Jeffrey
Malik,
James
Palis,
Christian
J
Stoeckert
BMC Systems Biology 2013, 7 :38 (15 May 2013)
Abstract | Provisional PDF
99.
Proteogenomic characterization and mapping of nucleosomes decoded by Brd and HP1 proteins
Gary
LeRoy,
Iouri
Chepelev,
Peter
A
DiMaggio,
Mario
A
Blanco,
Barry
M
Zee,
Keji
Zhao,
Benjamin
A
Garcia
Genome Biology 2012, 13 :R68 (16 August 2012)
Abstract | Full text | PDF | PubMed | F1000 Biology
|
Editor’s summary
A novel proteogenomic strategy links the histone reader proteins Brd3 and Brd4 to HOX gene regulation
100.
Researchers’ perceptions of ethical challenges in cluster randomized trials: a qualitative analysis
Andrew
D
McRae,
Carol
Bennett,
Judith Belle
Brown,
Charles
Weijer,
Robert
Boruch,
Jamie
Brehaut,
Shazia
Chaudhry,
Allan
Donner,
Martin
Eccles,
Jeremy
Grimshaw,
Merrick
Zwarenstein,
Monica
Taljaard
Trials 2013, 14 :1 (3 January 2013)
Abstract | Full text | PDF | PubMed