Evidence map›Paper›PMID 27438473›Full record

ArticleJournal of immunological methods2016

Flow-based sorting of neonatal lymphocyte populations for transcriptomics analysis.

Ravi S Misra, Soumyaroop Bhattacharya, Heidie L Huyck, Jyh-Chiang E Wang, Christopher G Slaunwhite, Sharleen L Slaunwhite, Terry R Wightman, Shelley Secor-Socha, Sara K Misra, Timothy P Bushnell and 5 more

Abstract read
In one paragraph

Article in Journal of immunological methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Eight practices for data management to enable team data science.Journal of clinical and translational science · 2020
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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

15 authors at 3 institutions in 1 country.

Ravi S MisraDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Soumyaroop BhattacharyaDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States; Pediatric Molecular and Personalized Medicine Program, University of Rochester Medical Center, Rochester, NY 14642, United States.
Heidie L HuyckDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Jyh-Chiang E WangRochester Human Immunology Center, David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Christopher G SlaunwhiteDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Sharleen L SlaunwhiteShared Resources Laboratories, University of Rochester Medical Center, Rochester, NY 14642, United States.
Terry R WightmanShared Resources Laboratories, University of Rochester Medical Center, Rochester, NY 14642, United States.
Shelley Secor-SochaRochester Human Immunology Center, David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Sara K MisraDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Timothy P BushnellShared Resources Laboratories, University of Rochester Medical Center, Rochester, NY 14642, United States.
Ann-Marie ReynoldsDepartment of Pediatrics, University at Buffalo, Buffalo, NY 14222, United States.
Rita M RyanDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC 29425, United States.
Sally A QuataertRochester Human Immunology Center, David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, United States.
Gloria S PryhuberDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, United States.
Thomas J MarianiDepartment of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States; Pediatric Molecular and Personalized Medicine Program, University of Rochester Medical Center, Rochester, NY 14642, United States.
University of Rochester Medical Center · USMedical University of South Carolina · USUniversity at Buffalo, State University of New York · US

Funding

Data Coordinating Center for the Prematurity and Respiratory Outcomes ProgramU01HL101794 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, BARBARA · 2010 to 2014
$10.3M
Biorepository for Investigation of Neonatal Diseases of Lung-Normal (BRINDL-NL)U01HL122700 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2014 to 2018
$6.1M
Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic PreemiesU01HL101813 · NHLBI · UNIVERSITY OF ROCHESTER · PI MARIANI, THOMAS J, PRYHUBER, GLORIA S · 2010 to 2014
$2.4M
NHLBI NIH HHS U01 HL101794NHLBI NIH HHS U01 HL101813NHLBI NIH HHS U01 HL122700NIAID NIH HHS HHSN272201200005C
6 · The paper itself

Abstract

rationaleEmerging data suggest an important role for T lymphocytes in the pathogenesis of chronic lung disease in preterm infants. Comprehensive assessment of the lymphocyte transcriptome may identify biomarkers and mechanisms of disease.

methodsSmall volume peripheral blood samples were collected from premature infants enrolled with consent in the Prematurity and Respiratory Outcomes Program (PROP), at the time of discharge from the hospital. Blood samples were collected at two sites and shipped to a central laboratory for processing. Peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll-Hypaque gradient centrifugation and separated into individual lymphocyte cell types by fluorescence-activated cell sorting. Gating strategies were optimized to ensure reproducible recovery of highly purified lymphocyte populations over a multi-year recruitment period. RNA was isolated from sorted cells and characterized by high-throughput sequencing (RNASeq).

resultsBlood volumes averaged 2.5ml, and sufficient PBMCs were collected from 165 of the 246 samples obtained (67%) from the 277 recruited subjects to complete sorting and RNASeq analysis on the resulting sorted cells. The number of total lymphocytes per ml of blood in the neonatal subjects was approximately 4 million/ml. Total lymphocyte frequencies recovered following sort varied widely among subjects, as did the frequency of individual lymphocyte and NK cell sub-populations. RNA yield from sorted cells varied according to cell type, but RNA of sufficient quantity and quality was recovered to enable RNASeq. SUMMARY: Our results describe a validated procedure for the generation of genome-wide expression data from isolated lymphocyte sub-populations obtained from newborn blood.

Indexed as

Cell SeparationCentrifugation, Density GradientFeasibility StudiesFicollFlow CytometryGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansInfant, NewbornLymphocyte CountLymphocytesMiniaturizationFicollBPDFlow sortingLymphocytesPBMCPrematurityRNASeqT-Cell

Identifiers

PMID27438473
PMCPMC5247270
OpenAlexW2485240916

What OpenQuestion holds

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LicenceTDM
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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.