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Record W2612860281 · doi:10.6000/1927-5129.2017.13.35

Effect of Temperature and Storage Time on DNA Quality and Quantity from Normal and Diseased Tissues

2017· article· en· W2612860281 on OpenAlexvenueno aff
Imran Tarique Samoo, Pershotam Khatri, Bachal Bhutto, Mansoor Tariq, Iqra Chandio, Munaza Soomro, Saqib Ali, Sheeba Shams

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAbsorbanceDNADNA extractionExtraction (chemistry)ChemistryChromatographygenomic DNAMolecular biologyBiologyBiochemistryPolymerase chain reactionGene

Abstract

fetched live from OpenAlex

DNA extraction and purification is an initial step for authentic results in advance molecular biology, therefore DNA degradation is unavoidable. The aim of present study is to investigate the DNA quality and quantity in terms of shorter time preservation with normal and diseased tissue, therefore tissues of normal (n = 18) and diseased (n = 18) liver, lung and heart was collected from goat after slaughtered. For DNA extraction Gene JET Genomic DNA Purification Kit protocol was followed, then stored at -20 oC and -04 oC temperatures for 24hrs and 48hrs period of time. The concentration and purity of the extracted DNA were measured with Spectrophotometer and purity confirmed at an absorbance ratio of 260 or 280. It was observed that at a -20 oC temperature for 24hours the concentration of DNA yield was numerically higher than at -04 oC temperature for tissue stored at 48hrs, whereas absorbance was higher, however in normal tissues in contrast with diseased the concentration and absorbance of DNA was somehow same at -20 and -04 oC but different in storage time. On the basis of these findings, it was concluded that time elapsed between sampling with the storage condition and with normal or diseased samples for DNA extraction will largely depend on the experiment. If tissue preservative conditions and sampling are appropriate, storage time will not be a factor at least for short storage periods.

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)0.001
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 score0.123
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.314
Teacher spread0.303 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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