Evidence map›Paper›PMID 31610624›Full record

ArticleGenomics & informatics2019

Optimization of a microarray for fission yeast.

Dong-Uk Kim, Minho Lee, Sangjo Han, Miyoung Nam, Sol Lee, Jaewoong Lee, Jihye Woo, Dongsup Kim, Kwang-Lae Hoe

Abstract read
In one paragraph

Article in Genomics & informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
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

9 authors.

Dong-Uk KimAging Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon 34141, Korea.
Minho LeeCatholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Sangjo HanData Analytics CoE, SK Telecom, Seongnam 13595, Korea.
Miyoung NamDepartment of New Drug Development, Chungnam National University, Daejeon 34134, Korea.
Sol LeeDepartment of New Drug Development, Chungnam National University, Daejeon 34134, Korea.
Jaewoong LeeDepartment of New Drug Development, Chungnam National University, Daejeon 34134, Korea.
Jihye WooDepartment of New Drug Development, Chungnam National University, Daejeon 34134, Korea.
Dongsup KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejeon 34141, Korea.
Kwang-Lae HoeDepartment of New Drug Development, Chungnam National University, Daejeon 34134, Korea.

Funding

Chungnam National University
6 · The paper itself

Abstract

Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000 each for up- and down-tags) different kinds of sense-strand probes on an array. In this study, we optimized the hybridization processes of an array for fission yeast. Compared to the first version of the array (11 µm, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 µm, 48K) could represent ~10,000 up-/down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. For PCR, the optimal annealing temperature (maximizing yield and minimizing extra bands) was 58°C for both tags. Intriguingly, up-tags required 3 higher amounts of blocking oligonucleotides than down-tags. A 1:1 mix ratio between up- and down-tags was satisfactory. A lower temperature (25°C) was optimal for cultivation instead of a normal temperature (30°C) because of extra temperature-sensitive mutants in a subset of the deletion library. Activation of frozen pooled cells for >1 day showed better resolution of intensity than no activation. A tag intensity analysis showed that tag(s) of 4,316 of the 4,526 strains tested were represented at least once; 3,706 strains were represented by both tags, 4,072 strains by up-tags only, and 3,950 strains by down-tags only. The results indicate that this microarray will be a powerful analytical platform for elucidating currently unknown gene functions.

Indexed as

bar-codefission yeastgene-deletionmicroarraytag

Identifiers

PMID31610624
PMCPMC6808646

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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.