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Record W2082792838 · doi:10.1002/elps.201000425

Simultaneous isolation of DNA, RNA, and protein from <i>Medicago truncatula</i> L.

2010· article· en· W2082792838 on OpenAlexaff
Xiong Junbo, Qingchuan Yang, Junmei Kang, Yan Sun, Tiejun Zhang, Gruber Margaret, Ding Wang

Bibliographic record

VenueElectrophoresis · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsTrizolNucleic acidMedicago truncatulaChromatographyTrichloroacetic acidSample preparationChemistryRNAPhenol extractionExtraction (chemistry)DNA extractionRNA extractionProtein purificationBiochemistryBiologyGenePolymerase chain reactionBacteria

Abstract

fetched live from OpenAlex

We describe a method for the simultaneous extraction of proteins and nucleic acids from Medicago truncatula tissues. Using a modified TRIzol reagent method, we developed a simple and an effective way to simultaneously extract proteins and nucleic acids from a single sample. We verified that this method does not affect the quality or quantitation of the isolated DNA and RNA. Furthermore, we used 2-DE to compare M. truncatula leaf, stem, and root samples processed using this new method with two commonly used methods: phenol extraction/methanol-ammonium acetate precipitation and trichloroacetic acid/acetone precipitation. The results showed that our method was superior to the other methods, based on 2-DE patterns. We also demonstrated that our protocol is compatible with proteomic analysis, as 10 out of 14 selected proteins isolated by the method were identified by MALDI-TOF-MS/MS. The protocol described can be used with sample preparation protocols for proteomic, transcriptomic, and genomic studies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.201
Teacher spread0.198 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations41
Published2010
Admission routes1
Has abstractyes

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