Evidence map›Paper›PMID 26464211›Full record

ArticleScientific reports2015

On-chip Extraction of Intracellular Molecules in White Blood Cells from Whole Blood.

Jongchan Choi, Ji-chul Hyun, Sung Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 44 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jongchan ChoiSchool of Mechatronics, Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, Republic of Korea.
Ji-chul HyunSchool of Mechatronics, Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, Republic of Korea.
Sung YangSchool of Mechatronics, Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, Republic of Korea.
Gwangju Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extraction of virological markers in white blood cells (WBCs) from whole blood--without reagents, electricity, or instruments--is the most important first step for diagnostic testing of infectious diseases in resource-limited settings. Here we develop an integrated microfluidic chip that continuously separates WBCs from whole blood and mechanically ruptures them to extract intracellular proteins and nucleic acids for diagnostic purposes. The integrated chip is assembled with a device that separates WBCs by using differences in blood cell size and a mechanical cell lysis chip with ultra-sharp nanoblade arrays. We demonstrate the performance of the integrated device by quantitatively analyzing the levels of extracted intracellular proteins and genomic DNAs. Our results show that compared with a conventional method, the device yields 120% higher level of total protein amount and similar levels of gDNA (90.3%). To demonstrate its clinical application to human immunodeficiency virus (HIV) diagnostics, the developed chip was used to process blood samples containing HIV-infected cells. Based on PCR results, we demonstrate that the chip can extract HIV proviral DNAs from infected cells with a population as low as 10(2)/μl. These findings suggest that the developed device has potential application in point-of-care testing for infectious diseases in developing countries.

Indexed as

Lab-On-A-Chip DevicesBloodBlood ProteinsCell FractionationCells, CulturedDNAHumansLeukocytesBlood ProteinsDNA

Identifiers

PMID26464211
PMCPMC4604558
OpenAlexW2396263724

What OpenQuestion holds

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LicenceCC BY
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.