Evidence map›Paper›PMID 27442864›Full record

ArticleNature protocols2016

A highly multiplexed and sensitive RNA-seq protocol for simultaneous analysis of host and pathogen transcriptomes.

Roi Avraham, Nathan Haseley, Amy Fan, Zohar Bloom-Ackermann, Jonathan Livny, Deborah T Hung

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Review
  12. Article
  13. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  14. Article
  15. Article
  16. Microbiology spectrum · 2019
    Review
  17. Clinical metagenomics.Nature reviews. Genetics · 2019
    Review
  18. Article
  19. Article
  20. Article
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

6 authors.

Roi AvrahamBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Nathan HaseleyBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Amy FanBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Zohar Bloom-AckermannBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jonathan LivnyBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Deborah T HungBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
6 · The paper itself

Abstract

The ability to simultaneously characterize the bacterial and host expression programs during infection would facilitate a comprehensive understanding of pathogen-host interactions. Although RNA sequencing (RNA-seq) has greatly advanced our ability to study the transcriptomes of prokaryotes and eukaryotes separately, limitations in existing protocols for the generation and analysis of RNA-seq data have hindered simultaneous profiling of host and bacterial pathogen transcripts from the same sample. Here we provide a detailed protocol for simultaneous analysis of host and bacterial transcripts by RNA-seq. Importantly, this protocol details the steps required for efficient host and bacteria lysis, barcoding of samples, technical advances in sample preparation for low-yield sample inputs and a computational pipeline for analysis of both mammalian and microbial reads from mixed host-pathogen RNA-seq data. Sample preparation takes 3 d from cultured cells to pooled libraries. Data analysis takes an additional day. Compared with previous methods, the protocol detailed here provides a sensitive, facile and generalizable approach that is suitable for large-scale studies and will enable the field to obtain in-depth analysis of host-pathogen interactions in infection models.

Indexed as

Host-Pathogen InteractionsAnimalsBone Marrow CellsGene Expression ProfilingLimit of DetectionMacrophagesMiceRNA, BacterialSalmonellaSequence Analysis, RNATime FactorsRNA, Bacterial

Identifiers

PMID27442864

What OpenQuestion holds

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Registered trials

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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.