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Record W1963775677 · doi:10.1038/mt.2014.11

Development of a Web Course on Gene Therapy by the International Consortium of Gene Therapy

2014· letter· en· W1963775677 on OpenAlexaff
Jacques P. Tremblay, Annemieke Aartsma‐Rus, Adam J. Bogdanove, Marcello Bossois Ferreira, Juan A. Bueren, Johnny Huard

Bibliographic record

VenueMolecular Therapy · 2014
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversité Laval
FundersNational Institute of General Medical Sciences
KeywordsGenetic enhancementMedicineViral vectorInternal medicineOncologyVirologyGeneBiologyGeneticsRecombinant DNA

Abstract

fetched live from OpenAlex

To the editor: At the May 2013 meeting of the American Society of Gene & Cell Therapy in Salt Lake City, Utah, a group of researchers founded the International Consortium of Gene Therapy (ICGT). The mandate of this consortium is to lobby governments around the world to increase research funding for gene therapy, which has the potential to treat many hereditary and acquired diseases. Indeed, successful clinical gene therapy results have been obtained in recent years. Among these, it is worth noting the improvements in efficacy and safety demonstrated in new hematopoietic clinical trials conducted with lentiviral vectors,1Cavazzana-Calvo M Payen E Negre O Wang G Hehir K Fusil F et al.Transfusion independence and HMGA2 activation after gene therapy of human β-thalassaemia.Nature. 2010; 467: 318-322Crossref PubMed Scopus (1035) Google Scholar,2Biffi A Montini E Lorioli L Cesani M Fumagalli F Plati T et al.Lentiviral hematopoietic stem cell gene therapy benefits metachromatic leukodystrophy.Science. 2013; 341: 1233158Crossref PubMed Scopus (906) Google Scholar,3Aiuti A Biasco L Scaramuzza S Ferrua F Cicalese MP Baricordi C et al.Lentiviral hematopoietic stem cell gene therapy in patients with Wiskott-Aldrich syndrome.Science. 2013; 341: 1233151Crossref PubMed Scopus (809) Google Scholar as well as the progress in phase I clinical trials in hemophilia patients with an adeno-associated virus (AAV) vector carrying the clotting factor IX gene.4Nathwani AC Tuddenham EG Rangarajan S Rosales C McIntosh J Linch DC et al.Adenovirus-associated virus vector-mediated gene transfer in hemophilia B.N Engl J Med. 2011; 365: 2357-2365Crossref PubMed Scopus (1354) Google Scholar In addition, an AAV vector has been used successfully to treat the hereditary blindness Leber's congenital amaurosis. Finally, Glybera has been approved for commercialization in Europe—the first gene therapy product to be approved—for patients with familial lipoprotein lipase deficiency.5Stein EA Dufour R Gagne C Gaudet D East C Donovan JM et al.Apolipoprotein B synthesis inhibition with mipomersen in heterozygous familial hypercholesterolemia: results of a randomized, double-blind, placebo-controlled trial to assess efficacy and safety as add-on therapy in patients with coronary artery disease.Circulation. 2012; 126: 2283-2292Crossref PubMed Scopus (249) Google Scholar With the recent progress in the development of specific endonucleases (transcription activator-like effector nucleases, zinc-finger nucleases, meganucleases, and, more recently, CRISPR/Cas9) to target the genome to correct or knock out specific genes,6Mali P Yang L Esvelt KM Aach J Guell M DiCarlo JE et al.RNA-guided human genome engineering via Cas9.Science. 2013; 339: 823-826Crossref PubMed Scopus (6424) Google Scholar,7Cermak T Doyle EL Christian M Wang L Zhang Y Schmidt C et al.Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting.Nucleic Acids Res. 2011; 39: e82Crossref PubMed Scopus (1560) Google Scholar,8Gaj T Gersbach CA Barbas CF ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering.Trends Biotechnol. 2013; 31 (3rd): 397-405Abstract Full Text Full Text PDF PubMed Scopus (2481) Google Scholar,9Maeder ML Linder SJ Cascio VM Fu Y Ho QH Joung JK CRISPR RNA-guided activation of endogenous human genes.Nat Methods. 2013; 10: 977-979Crossref PubMed Scopus (800) Google Scholar it can be anticipated that these successes are only the beginning. Outside the gene therapy research community, however, the potential of these gene therapy approaches is not well known or understood. In fact, gene therapy is rarely included in the syllabus of most undergraduate courses and even less frequently in medical school studies. However, if we want governments to increase research funding for gene therapy and to interest young scientists and clinicians in working in the field, it is important to harvest the support of the larger biomedical community. To fulfill that goal, several ICGT members have created the basis of a Web course on gene therapy (http://www.internationalconsortiumofgenetherapy.com/course) comprising PowerPoint presentations contributed by global experts in various aspects of gene therapy. The presentations can be freely downloaded from the website and are thus accessible to the wider public, including the media and biology and medical students and their professors, who may use these documents to prepare their own lectures. The Web course, still in its infancy, thus far includes presentations from 17 researchers. Contributions from other experts in gene therapy are certainly encouraged. Topics of interest are indicated on the website, many of which lack contributions at this stage; potential contributors should contact us at [email protected] Suggestions for additional topics are also welcomed. Because PowerPoint presentations are typically too large to attach to e-mail messages, these may be submitted using WeTransfer (https://www.wetransfer.com). A review committee to be formed by the executive committee of the ICGT will review all new contributions to ensure that they are of high quality and up-to-date. The URL for the course will be posted on the websites of several associations related to gene and cell therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0660.029

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.280
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
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