Evidence map›Paper›PMID 8577737›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1996

Multiplex selection technique (MuST): an approach to clone transcription factor binding sites.

G N Nallur, K Prakash, S M Weissman

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
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

3 authors at 1 institution in 1 country.

G N NallurDepartment of Genetics, Boyer Center for Molecular Medicine, Yale University School of Medicine, New Haven, CT 06511, USA.
K Prakash
S M Weissman
Yale University · US

Funding

MOLECULAR GENETICS OF CANCERR35CA042556 · NCI · YALE UNIVERSITY · PI WEISSMAN, SHERMAN MORTON · 1986 to 1999
–
NCI NIH HHS CA 42556
6 · The paper itself

Abstract

We have used a multiplex selection approach to construct a library of DNA-protein interaction sites recognized by many of the DNA-binding proteins present in a cell type. An estimated minimum of two-thirds of the binding sites present in a library prepared from activated Jurkat T cells represent authentic transcription factor binding sites. We used the library for isolation of "optimal" binding site probes that facilitated cloning of a factor and to identify binding activities induced within 2 hr of activation of Jurkat cells. Since a large fraction of the oligonucleotides obtained appear to represent "optimal" binding sites for sequence-specific DNA-binding proteins, it is feasible to construct a catalog of consensus binding sites for DNA-binding proteins in a given cell type. Qualitative and quantitative comparisons of the catalogs of binding site sequences from various cell types could provide valuable insights into the process of differentiation acting at the level of transcriptional control.

Indexed as

OligodeoxyribonucleotidesAmino Acid SequenceBase SequenceBinding SitesCell LineCloning, MolecularConsensus SequenceDatabases, FactualDNA, ComplementaryGene LibraryHumansMolecular Sequence DataOligonucleotide ProbesPhytohemagglutininsPolymerase Chain ReactionProto-Oncogene ProteinsDNA, ComplementaryOligodeoxyribonucleotidesOligonucleotide ProbesPhytohemagglutininsProto-Oncogene ProteinsProto-Oncogene Proteins c-etsTetradecanoylphorbol AcetateTranscription Factors

Identifiers

PMID8577737
PMCPMC40053
OpenAlexW1977922799

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.