Evidence map›Paper›PMID 39033644›Full record

ArticleTicks and tick-borne diseases2024

A multi-omics approach for understanding blood digestion dynamics in Ixodes scapularis and identification of anti-tick vaccine targets.

Jeremiah B Reyes, Molly McVicar, Saransh Beniwal, Arvind Sharma, Richard Tillett, Juli Petereit, Andrew Nuss, Monika Gulia-Nuss

Abstract read
In one paragraph

Article in Ticks and tick-borne diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Copy Number Variation-Based Molecular Sexing ofbioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. 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

8 authors.

Jeremiah B ReyesDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557; Nevada Bioinformatics Center, University of Nevada Reno, USA, 89557.
Molly McVicarDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557.
Saransh BeniwalDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557; Department of Computer Science and Engineering, University of Nevada, Reno, USA, 89557.
Arvind SharmaDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557.
Richard TillettNevada Bioinformatics Center, University of Nevada Reno, USA, 89557.
Juli PetereitNevada Bioinformatics Center, University of Nevada Reno, USA, 89557.
Andrew NussDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557; Department of Agriculture, Veterinary, and Rangeland Science, University of Nevada Reno, USA, 89557.
Monika Gulia-NussDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, USA, 89557. Electronic address: mgulianuss@unr.edu.

Funding

Outreach/Diversity/Pipeline ProjectP20GM103440 · NIGMS · UNIVERSITY OF NEVADA RENO · PI Eduardo A Robleto · 2012 to 2026
$58.0M
Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI WARD, TONY JOHN · 2013 to 2023
$39.6M
Germline Transformation of TicksR01AI172943 · NIAID · UNIVERSITY OF NEVADA RENO · PI Monika Gulia-Nuss · 2023 to 2026
$2.7M
Development of transgenic protocols for the Lyme disease vector, Ixodes scapularis, for tick and tick-borne disease controlR21AI128393 · NIAID · UNIVERSITY OF NEVADA RENO · PI GULIA-NUSS, MONIKA · 2018 to 2019
$408k
New molecular targets for pest management in the cuticle of the Lyme disease vector, Ixodes scapularisR21AI139778 · NIAID · UNIVERSITY OF NEVADA RENO · PI BLOMQUIST, GARY, GULIA-NUSS, MONIKA · 2019 to 2020
$403k
NIAID NIH HHS R01 AI172943NIAID NIH HHS R21 AI128393NIAID NIH HHS R21 AI139778NIGMS NIH HHS P20 GM103440NIGMS NIH HHS U54 GM104944
6 · The paper itself

Abstract

Ixodes scapularis, the black-legged tick, is a major arthropod vector that transmits the causative agents of Lyme disease and several other pathogens of human significance. The tick midgut is the main tissue involved in blood acquisition and digestion and the first organ to have contact with pathogens ingested through the blood meal. Gene expression in the midgut before, during, and after a blood meal may vary in response to the physiological changes due to blood feeding. A systems biology approach based on RNA and protein sequencing was used to gain insight into the changes in tick midgut transcripts and proteins during blood ingestion (unfed and partially fed) and digestion (1-, 2-, 7-, and 14 days post detachment from the host) by the Ixodes scapularis female ticks. A total of 2,726 differentially expressed transcripts, and 449 proteins were identified across the time points. Genes involved in detoxification of xenobiotics, proteases, protease inhibitors, metabolism, and immunity were differentially expressed in response to blood feeding. Similarly, proteins corresponding to the same groups were also differentially expressed. Nine genes from major gene categories were chosen as potential vaccine candidates, and, using RNA interference, the effect of these gene knockdowns on tick biology was investigated. Knockdown of these genes had variable negative impacts on tick physiology, such as the inability to engorge fully and to produce eggs and increased mortality. These and additional gene targets provide opportunities to explore novel tick control strategies.

Indexed as

IxodesVaccinesAnimalsArthropod ProteinsDigestionFeeding BehaviorFemaleMultiomicsTranscriptomeArthropod ProteinsVaccinesAnti-tick vaccineBlood digestionIxodes scapularisIxodidMidgutProteomicsTranscriptome

Identifiers

PMID39033644
PMCPMC11793013

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.