Evidence map›Paper›PMID 31848386›Full record

ArticleScientific reports2019

Hybridization-based capture of pathogen mRNA enables paired host-pathogen transcriptional analysis.

Viktoria Betin, Cristina Penaranda, Nirmalya Bandyopadhyay, Rui Yang, Angela Abitua, Roby P Bhattacharyya, Amy Fan, Roi Avraham, Jonathan Livny, Noam Shoresh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Hybrid capture RNA-seq defines temporal gene expression inbioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Transcript-Capture sequencing enriches mRNA ofbioRxiv : the preprint server for biology · 2025
    Article
  9. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  10. Article
  11. Urinary tract infections and catheter-associated urinary tract infections caused byMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
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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

11 authors at 1 institution in 2 countries.

Viktoria BetinInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Cristina PenarandaInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA. penaranda@molbio.mgh.harvard.edu.
Nirmalya BandyopadhyayInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Rui YangInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Angela AbituaInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Roby P BhattacharyyaInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.ORCID http://orcid.org/0000-0001-6955-5088
Amy FanInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Roi AvrahamInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Jonathan LivnyInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Noam ShoreshInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
Deborah T HungInfectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA. hung@molbio.mgh.harvard.edu.ORCID http://orcid.org/0000-0003-4262-0673
Broad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual transcriptional profiling of host and bacteria during infection is challenging due to the low abundance of bacterial mRNA. We report Pathogen Hybrid Capture (PatH-Cap), a method to enrich for bacterial mRNA and deplete bacterial rRNA simultaneously from dual RNA-seq libraries using transcriptome-specific probes. By addressing both the differential RNA content of the host relative to the infecting bacterium and the overwhelming abundance of uninformative structural RNAs (rRNA, tRNA) of both species in a single step, this approach enables analysis of very low-input RNA samples. By sequencing libraries before (pre-PatH-Cap) and after (post-PatH-Cap) enrichment, we achieve dual transcriptional profiling of host and bacteria, respectively, from the same sample. Importantly, enrichment preserves relative transcript abundance and increases the number of unique bacterial transcripts per gene in post-PatH-Cap libraries compared to pre-PatH-Cap libraries at the same sequencing depth, thereby decreasing the sequencing depth required to fully capture the transcriptional profile of the infecting bacteria. We demonstrate that PatH-Cap enables the study of low-input samples including single eukaryotic cells infected by 1-3 Pseudomonas aeruginosa bacteria and paired host-pathogen temporal gene expression analysis of Mycobacterium tuberculosis infecting macrophages. PatH-Cap can be applied to the study of a range of pathogens and microbial species, and more generally, to lowly-abundant species in mixed populations.

Indexed as

Gene Expression ProfilingHost-Parasite InteractionsRNA, BacterialRNA, MessengerAnimalsMiceMycobacterium tuberculosisNucleic Acid HybridizationPseudomonas aeruginosaPseudomonas InfectionsTuberculosisRNA, BacterialRNA, Messenger

Identifiers

PMID31848386
PMCPMC6917760
OpenAlexW2996751865

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.