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Reicher et al. 30 (12): 1846
.
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Research
:
Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing
Dorothee Pflueger
,
Stéphane Terry
,
Andrea Sboner
,
Lukas Habegger
,
Raquel Esgueva
,
Pei-Chun Lin
,
Maria A. Svensson
,
Naoki Kitabayashi
,
Benjamin J. Moss
,
Theresa Y. MacDonald
,
Xuhong Cao
,
Terrence Barrette
,
Ashutosh K. Tewari
,
Mark S. Chee
,
Arul M. Chinnaiyan
,
David S. Rickman
,
Francesca Demichelis
,
Mark B. Gerstein
,
and
Mark A. Rubin
Genome Res.
January 2011
21
:
56
-
67
;
Published in Advance
October 29, 2010
,
doi:
10.1101/gr.110684.110
...the initial list of candidate fusion transcripts of ;96% on average, thus enriching for potentially
real
fusion transcripts (Supplemental Table S2). Also, similar to Table 1. Summary statistics of data generation with next-generation RNA
sequencing
Sample Tissue type ETS fusion No. of lanes Read length No...
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Next-Generation DNA Sequencing/Review
:
Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses
Melissa J. Fullwood
,
Chia-Lin Wei
,
Edison T. Liu
,
and
Yijun Ruan
Genome Res.
April 2009
19
:
521
-
532
;
doi:
10.1101/gr.074906.107
...Next-generation DNA
sequencing
of paired-end
tags
(PET) for transcriptome and genome analyses Melissa J. Fullwood 1 , 2 , Chia-Lin Wei 1 , Edison T. Liu 1 , 3 and Yijun Ruan 1 , 4 , 5 1 Genome Institute of Singapore, Agency...
Abstract
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Review
:
A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest
Andrew D. Bates
,
Dawid Grzela
,
Maciej Studzian
,
Louise Brennan
,
Moli Williams
,
Conor Fawcett
,
Beth Hammond
,
Manreen Grewal
,
Marcin Ratajewski
,
Lukasz Pulaski
,
and
Urszula L. McClurg
Genome Res.
March 2026
36
:
433
-
459
;
Published in Advance
February 17, 2026
,
doi:
10.1101/gr.281154.125
...techniques have been developed that
monitor
transcription as it occurs. Pioneering work introduced methods such as global run-on
sequencing
(GRO-seq) (Core and Lis 2008) and precision nuclear run-on
sequencing
(PRO-seq) (Kwak et al. 2013), which measure the location and activity of engaged RNA polymerase II...
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PERSPECTIVE
:
Hunting with Traps: Genome-Wide Strategies for Gene Discovery and Functional Analysis
Kyle Durick
,
John Mendlein
,
and
Kleanthis G. Xanthopoulos
Genome Res.
November 1, 1999
9
:
1019
-
1025
;
doi:
10.1101/gr.9.11.1019
...cells in which the
tagging
element has inserted into an actively transcribed gene. A new and highly sensitive reporter system has recently been described and is well suited for gene
tagging
. A nontoxic fluorescent substrate of β-lactamase, CCF2-AM, enables
real
-time and sensitive
monitoring
...
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REVIEW
:
Automation for Genomics, Part Two: Sequencers, Microarrays, and Future Trends
Deirdre Meldrum
Genome Res.
September 1, 2000
10
:
1288
-
1303
;
doi:
10.1101/gr.157400
...operations. The LI-COR, Inc. (Lincoln, NE) ( http://www.licor.com ) Model 4200 (IR2) automated DNA
sequencer
, launched in 1997, is a two-dye near-infrared DNA analysis system. It can detect the products of two different
sequencing
reactions in parallel enabling
pooling
reactions and simultaneous...
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Research
:
Cytosolic and mitochondrial translation elongation are coordinated through the molecular chaperone TRAP1 for the synthesis and import of mitochondrial proteins
Rosario Avolio
,
Ilenia Agliarulo
,
Daniela Criscuolo
,
Daniela Sarnataro
,
Margherita Auriemma
,
Sabrina De Lella
,
Sara Pennacchio
,
Giovanni Calice
,
Martin Y. Ng
,
Carlotta Giorgi
,
Paolo Pinton
,
Barry S. Cooperman
,
Matteo Landriscina
,
Franca Esposito
,
and
Danilo Swann Matassa
Genome Res.
August 2023
33
:
1242
-
1257
;
Published in Advance
July 24, 2023
,
doi:
10.1101/gr.277755.123
...and increased upon shRNA-mediated silencing (Supplemental Fig. S2A). TRAP1 silencing with two different siRNA
sequences
in both HeLa and HT29 colorectal carcinoma cells yielded analogous results in fluorescent noncanonical amino acid
tagging
(FUNCAT) assays (Supplemental Fig. S2B).View larger version...
Abstract
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Resource
:
Functional annotation of human long noncoding RNAs via molecular phenotyping
Jordan A. Ramilowski
,
Chi Wai Yip
,
Saumya Agrawal
,
Jen-Chien Chang
,
Yari Ciani
,
Ivan V. Kulakovskiy
,
Mickaël Mendez
,
Jasmine Li Ching Ooi
,
John F. Ouyang
,
Nick Parkinson
,
Andreas Petri
,
Leonie Roos
,
Jessica Severin
,
Kayoko Yasuzawa
,
Imad Abugessaisa
,
Altuna Akalin
,
Ivan V. Antonov
,
Erik Arner
,
Alessandro Bonetti
,
Hidemasa Bono
,
Beatrice Borsari
,
Frank Brombacher
,
Christopher J.F. Cameron
,
Carlo Vittorio Cannistraci
,
Ryan Cardenas
,
Melissa Cardon
,
Howard Chang
,
Josée Dostie
,
Luca Ducoli
,
Alexander Favorov
,
Alexandre Fort
,
Diego Garrido
,
Noa Gil
,
Juliette Gimenez
,
Reto Guler
,
Lusy Handoko
,
Jayson Harshbarger
,
Akira Hasegawa
,
Yuki Hasegawa
,
Kosuke Hashimoto
,
Norihito Hayatsu
,
Peter Heutink
,
Tetsuro Hirose
,
Eddie L. Imada
,
Masayoshi Itoh
,
Bogumil Kaczkowski
,
Aditi Kanhere
,
Emily Kawabata
,
Hideya Kawaji
,
Tsugumi Kawashima
,
S. Thomas Kelly
,
Miki Kojima
,
Naoto Kondo
,
Haruhiko Koseki
,
Tsukasa Kouno
,
Anton Kratz
,
Mariola Kurowska-Stolarska
,
Andrew Tae Jun Kwon
,
Jeffrey Leek
,
Andreas Lennartsson
,
Marina Lizio
,
Fernando López-Redondo
,
Joachim Luginbühl
,
Shiori Maeda
,
Vsevolod J. Makeev
,
Luigi Marchionni
,
Yulia A. Medvedeva
,
Aki Minoda
,
Ferenc Müller
,
Manuel Muñoz-Aguirre
,
Mitsuyoshi Murata
,
Hiromi Nishiyori
,
Kazuhiro R. Nitta
,
Shuhei Noguchi
,
Yukihiko Noro
,
Ramil Nurtdinov
,
Yasushi Okazaki
,
Valerio Orlando
,
Denis Paquette
,
Callum J.C. Parr
,
Owen J.L. Rackham
,
Patrizia Rizzu
,
Diego Fernando Sánchez Martinez
,
Albin Sandelin
,
Pillay Sanjana
,
Colin A.M. Semple
,
Youtaro Shibayama
,
Divya M. Sivaraman
,
Takahiro Suzuki
,
Suzannah C. Szumowski
,
Michihira Tagami
,
Martin S. Taylor
,
Chikashi Terao
,
Malte Thodberg
,
Supat Thongjuea
,
Vidisha Tripathi
,
Igor Ulitsky
,
Roberto Verardo
,
Ilya E. Vorontsov
,
Chinatsu Yamamoto
,
Robert S. Young
,
J. Kenneth Baillie
,
Alistair R.R. Forrest
,
Roderic Guigó
,
Michael M. Hoffman
,
Chung Chau Hon
,
Takeya Kasukawa
,
Sakari Kauppinen
,
Juha Kere
,
Boris Lenhard
,
Claudio Schneider
,
Harukazu Suzuki
,
Ken Yagi
,
Michiel J.L. de Hoon
,
Jay W. Shin
,
and
Piero Carninci
Genome Res.
July 2020
30
:
1060
-
1072
;
Published in Advance
July 27, 2020
,
doi:
10.1101/gr.254219.119
...oligonucleotide (ASO) technology (Roux et al. 2017). We then quantified the effect of each knockdown on cell growth and morphology using
real
-time imaging, followed by Cap Analysis Gene Expression (CAGE) (Murata et al. 2014) deep
sequencing
to reveal molecular pathways associated with each lncRNA. In contrast...
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LETTER
:
Identifying Potential Tumor Markers and Antigens by Database Mining and Rapid Expression Screening
W. Troy Loging
,
Anita Lal
,
I-Mei Siu
,
Tania L. Loney
,
Carol J. Wikstrand
,
Marco A. Marra
,
Christa Prange
,
Darell D. Bigner
,
Robert L. Strausberg
,
and
Gregory J. Riggins
Genome Res.
September 1, 2000
10
:
1393
-
1402
;
doi:
10.1101/gr.138000
...et al. 1999 ). F-PEC data could augment tissue microarray analysis, in particular when an antibody or in
situ
hybridization assay is not readily available for a particular gene. Regardless of the follow-up approach, there is a
real
need to be able to rapidly assess well-documented samples...
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