Literature DB >> 25035389

The increasing urgency for standards in basic biologic research.

Leonard P Freedman1, James Inglese2.   

Abstract

Research advances build upon the validity and reproducibility of previously published data and findings. Yet irreproducibility in basic biologic and preclinical research is pervasive in both academic and commercial settings. Lack of reproducibility has led to invalidated research breakthroughs, retracted articles, and aborted clinical trials. Concerns and requirements for transparent, reproducible, and translatable research are accelerated by the rapid growth of "post-publication peer review," open access publishing, and data sharing that facilitate the identification of irreproducible data/studies; they are magnified by the explosion of high-throughput technologies, genomics, and other data-intensive disciplines. Collectively, these changes and challenges are decreasing the effectiveness of traditional research quality mechanisms and are contributing to unacceptable-and unsustainable-levels of irreproducibility. The global oncology and basic biologic research communities can no longer tolerate or afford widespread irreproducible research. This article discusses (i) how irreproducibility in preclinical research can ultimately be traced to an absence of a unifying life science standards framework, and (ii) makes an urgent case for the expanded development and use of consensus-based standards to both enhance reproducibility and drive innovations in cancer research. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2014        PMID: 25035389      PMCID: PMC4975040          DOI: 10.1158/0008-5472.CAN-14-0925

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  33 in total

1.  Match criteria for human cell line authentication: where do we draw the line?

Authors:  Amanda Capes-Davis; Yvonne A Reid; Margaret C Kline; Douglas R Storts; Ethan Strauss; Wilhelm G Dirks; Hans G Drexler; Roderick A F MacLeod; Gregory Sykes; Arihiro Kohara; Yukio Nakamura; Eugene Elmore; Raymond W Nims; Christine Alston-Roberts; Rita Barallon; Georgyi V Los; Roland M Nardone; Paul J Price; Anton Steuer; Jim Thomson; John R W Masters; Liz Kerrigan
Journal:  Int J Cancer       Date:  2012-11-28       Impact factor: 7.396

2.  The basics of translation.

Authors:  Huda Y Zoghbi
Journal:  Science       Date:  2013-01-18       Impact factor: 47.728

Review 3.  Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care.

Authors:  Randie R Little; Curt L Rohlfing; David B Sacks
Journal:  Clin Chem       Date:  2010-12-09       Impact factor: 8.327

4.  A call for transparent reporting to optimize the predictive value of preclinical research.

Authors:  Story C Landis; Susan G Amara; Khusru Asadullah; Chris P Austin; Robi Blumenstein; Eileen W Bradley; Ronald G Crystal; Robert B Darnell; Robert J Ferrante; Howard Fillit; Robert Finkelstein; Marc Fisher; Howard E Gendelman; Robert M Golub; John L Goudreau; Robert A Gross; Amelie K Gubitz; Sharon E Hesterlee; David W Howells; John Huguenard; Katrina Kelner; Walter Koroshetz; Dimitri Krainc; Stanley E Lazic; Michael S Levine; Malcolm R Macleod; John M McCall; Richard T Moxley; Kalyani Narasimhan; Linda J Noble; Steve Perrin; John D Porter; Oswald Steward; Ellis Unger; Ursula Utz; Shai D Silberberg
Journal:  Nature       Date:  2012-10-11       Impact factor: 49.962

5.  PTC124 targets genetic disorders caused by nonsense mutations.

Authors:  Ellen M Welch; Elisabeth R Barton; Jin Zhuo; Yuki Tomizawa; Westley J Friesen; Panayiota Trifillis; Sergey Paushkin; Meenal Patel; Christopher R Trotta; Seongwoo Hwang; Richard G Wilde; Gary Karp; James Takasugi; Guangming Chen; Stephen Jones; Hongyu Ren; Young-Choon Moon; Donald Corson; Anthony A Turpoff; Jeffrey A Campbell; M Morgan Conn; Atiyya Khan; Neil G Almstead; Jean Hedrick; Anna Mollin; Nicole Risher; Marla Weetall; Shirley Yeh; Arthur A Branstrom; Joseph M Colacino; John Babiak; William D Ju; Samit Hirawat; Valerie J Northcutt; Langdon L Miller; Phyllis Spatrick; Feng He; Masataka Kawana; Huisheng Feng; Allan Jacobson; Stuart W Peltz; H Lee Sweeney
Journal:  Nature       Date:  2007-04-22       Impact factor: 49.962

6.  Verification and unmasking of widely used human esophageal adenocarcinoma cell lines.

Authors:  Jurjen J Boonstra; Ronald van Marion; David G Beer; Lin Lin; Paula Chaves; Catarina Ribeiro; A Dias Pereira; Lúcia Roque; S Jane Darnton; Nasser K Altorki; David S Schrump; David S Klimstra; Laura H Tang; James R Eshleman; Hector Alvarez; Yutaka Shimada; Herman van Dekken; Hugo W Tilanus; Winand N M Dinjens
Journal:  J Natl Cancer Inst       Date:  2010-01-14       Impact factor: 13.506

7.  Are peer reviewers encouraged to use reporting guidelines? A survey of 116 health research journals.

Authors:  Allison Hirst; Douglas G Altman
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

8.  A survey on data reproducibility in cancer research provides insights into our limited ability to translate findings from the laboratory to the clinic.

Authors:  Aaron Mobley; Suzanne K Linder; Russell Braeuer; Lee M Ellis; Leonard Zwelling
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240

9.  Publication of research article: an art or science?

Authors:  S Kapoor; P Sikka; Kk Saxena
Journal:  Ann Med Health Sci Res       Date:  2013-01

10.  On the reproducibility of science: unique identification of research resources in the biomedical literature.

Authors:  Nicole A Vasilevsky; Matthew H Brush; Holly Paddock; Laura Ponting; Shreejoy J Tripathy; Gregory M Larocca; Melissa A Haendel
Journal:  PeerJ       Date:  2013-09-05       Impact factor: 2.984

View more
  25 in total

1.  Reproducibility: changing the policies and culture of cell line authentication.

Authors:  Leonard P Freedman; Mark C Gibson; Stephen P Ethier; Howard R Soule; Richard M Neve; Yvonne A Reid
Journal:  Nat Methods       Date:  2015-06       Impact factor: 28.547

2.  Survey on Scientific Shared Resource Rigor and Reproducibility.

Authors:  Kevin L Knudtson; Robert H Carnahan; Rebecca L Hegstad-Davies; Nancy C Fisher; Belynda Hicks; Peter A Lopez; Susan M Meyn; Sheenah M Mische; Frances Weis-Garcia; Lisa D White; Katia Sol-Church
Journal:  J Biomol Tech       Date:  2019-09

Review 3.  A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups.

Authors:  Sheenah M Mische; Nancy C Fisher; Susan M Meyn; Katia Sol-Church; Rebecca L Hegstad-Davies; Frances Weis-Garcia; Marie Adams; John M Ashton; Kym M Delventhal; Julie A Dragon; Laura Holmes; Pratik Jagtap; Kristopher E Kubow; Christopher E Mason; Magnus Palmblad; Brian C Searle; Christoph W Turck; Kevin L Knudtson
Journal:  J Biomol Tech       Date:  2020-04

4.  Immobilized Metal Affinity Chromatography Coupled to Multiple Reaction Monitoring Enables Reproducible Quantification of Phospho-signaling.

Authors:  Jacob J Kennedy; Ping Yan; Lei Zhao; Richard G Ivey; Uliana J Voytovich; Heather D Moore; Chenwei Lin; Era L Pogosova-Agadjanyan; Derek L Stirewalt; Kerryn W Reding; Jeffrey R Whiteaker; Amanda G Paulovich
Journal:  Mol Cell Proteomics       Date:  2015-11-30       Impact factor: 5.911

Review 5.  LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASE.

Authors:  Philipp Gut; Sven Reischauer; Didier Y R Stainier; Rima Arnaout
Journal:  Physiol Rev       Date:  2017-07-01       Impact factor: 37.312

6.  Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

Authors:  Germán González; Conor L Evans
Journal:  Bioessays       Date:  2019-05-16       Impact factor: 4.345

7.  New Challenges for Biobanks: Accreditation to the New ISO 20387:2018 Standard Specific for Biobanks.

Authors:  Pasquale De Blasio; Ida Biunno
Journal:  BioTech (Basel)       Date:  2021-07-02

Review 8.  Non-coding RNAs as drug targets.

Authors:  Masayuki Matsui; David R Corey
Journal:  Nat Rev Drug Discov       Date:  2016-07-22       Impact factor: 84.694

9.  The Economics of Reproducibility in Preclinical Research.

Authors:  Leonard P Freedman; Iain M Cockburn; Timothy S Simcoe
Journal:  PLoS Biol       Date:  2015-06-09       Impact factor: 8.029

10.  RIPOSTE: a framework for improving the design and analysis of laboratory-based research.

Authors:  Nicholas Gd Masca; Elizabeth Ma Hensor; Victoria R Cornelius; Francesca M Buffa; Helen M Marriott; James M Eales; Michael P Messenger; Amy E Anderson; Chris Boot; Catey Bunce; Robert D Goldin; Jessica Harris; Rod F Hinchliffe; Hiba Junaid; Shaun Kingston; Carmen Martin-Ruiz; Christopher P Nelson; Janet Peacock; Paul T Seed; Bethany Shinkins; Karl J Staples; Jamie Toombs; Adam Ka Wright; M Dawn Teare
Journal:  Elife       Date:  2015-05-07       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.