Evidence map›Paper›PMID 21708888›Full record

ArticleBlood2011

Human lymphoblastoid B-cell lines reprogrammed to EBV-free induced pluripotent stem cells.

Deepika Rajesh, Sarah J Dickerson, Junying Yu, Matthew E Brown, James A Thomson, Nicholas J Seay

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 67 citations in OpenAlex.

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  4. The past, present, and future promise of pluripotent stem cells.Journal of immunology and regenerative medicine · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Deepika RajeshCellular Dynamics International Inc, Madison, WI 53711-1018, USA. drajesh@cellulardynamics.com
Sarah J Dickerson
Junying Yu
Matthew E Brown
James A Thomson
Nicholas J Seay
Cellular Dynamics International (United States) · USUniversity of California, Santa Barbara · US

Funding

Functional GWAS for LVH using iPS-derived Cardiomyocytes: The HyperGEN ciPS StudU01HL107437 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI BROECKEL, ULRICH, BURKE, THOMAS J · 2011 to 2015
$6.1M
NHLBI NIH HHS U01 HL107437
6 · The paper itself

Abstract

Generation of patient-specific induced pluripotent cells (iPSCs) holds great promise for regenerative medicine. Epstein-Barr virus immortalized lymphoblastoid B-cell lines (LCLs) can be generated from a minimal amount of blood and are banked worldwide as cellular reference material for immunologic or genetic analysis of pedigreed study populations. We report the generation of iPSCs from 2 LCLs (LCL-iPSCs) via a feeder-free episomal method using a cocktail of transcription factors and small molecules. LCL-derived iPSCs exhibited normal karyotype, expressed pluripotency markers, lost oriP/EBNA-1 episomal vectors, generated teratomas, retained donor identity, and differentiated in vitro into hematopoietic, cardiac, neural, and hepatocyte-like lineages. Significantly, although the parental LCLs express viral EBNA-1 and other Epstein-Barr virus latency-related elements for their survival, their presence was not detectable in LCL-iPSCs. Thus, reprogramming LCLs could offer an unlimited source for patient-specific iPSCs.

Indexed as

B-LymphocytesCell DifferentiationCell LineEpstein-Barr Virus Nuclear AntigensGenetic VectorsHerpesvirus 4, HumanHumansInduced Pluripotent Stem CellsTranscription FactorsTransfectionEBV-encoded nuclear antigen 1Epstein-Barr Virus Nuclear AntigensTranscription Factors

Identifiers

PMID21708888
PMCPMC4081297
OpenAlexW2075990020

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.