Evidence map›Paper›PMID 23665000›Full record

ArticleJournal of proteomics2014

Moving from unsequenced to sequenced genome: reanalysis of the proteome of Leishmania donovani.

Raja Sekhar Nirujogi, Harsh Pawar, Santosh Renuse, Praveen Kumar, Sandip Chavan, Gajanan Sathe, Jyoti Sharma, Sweta Khobragade, Janhavee Pande, Bhakti Modak and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteomics, 2014. 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
3.9field-weighted citation impact, top 7% 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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. IFN-γCellular immunology · 2021
    Article
  6. TheGenes · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. 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

14 authors at 5 institutions in 2 countries.

Raja Sekhar NirujogiInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry 605014, India.
Harsh PawarInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Rajiv Gandhi University of Health Sciences, Bangalore 560041, India.
Santosh RenuseInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Department of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam 690525, India.
Praveen KumarInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Sandip ChavanInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal University, Madhav Nagar, Manipal 576104, India.
Gajanan SatheInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal University, Madhav Nagar, Manipal 576104, India.
Jyoti SharmaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal University, Madhav Nagar, Manipal 576104, India.
Sweta KhobragadeNational Centre for Cell Sciences, Pune 411007, India.
Janhavee PandeNational Centre for Cell Sciences, Pune 411007, India.
Bhakti ModakNational Centre for Cell Sciences, Pune 411007, India.
T S Keshava PrasadInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India; Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry 605014, India; Manipal University, Madhav Nagar, Manipal 576104, India.
H C HarshaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Milind S PatoleNational Centre for Cell Sciences, Pune 411007, India. Electronic address: patole@nccs.res.in.
Akhilesh PandeyMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore 21205, MD, USA; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore 21205, MD, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore 21205, MD, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore 21205, MD, USA. Electronic address: pandey@jhmi.edu.
Institute of Bioinformatics · INNational Centre for Cell Science · INManipal Academy of Higher Education · INAmrita Vishwa Vidyapeetham · INJohns Hopkins Medicine · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973Wellcome Trust
6 · The paper itself

Abstract

The kinetoplastid protozoan parasite, Leishmania donovani, is the causative agent of kala azar or visceral leishmaniasis. Kala azar is a severe form of leishmaniasis that is fatal in the majority of untreated cases. Studies on proteomic analysis of L. donovani thus far have been carried out using homology-based identification based on related Leishmania species (L. infantum, L. major and L. braziliensis) whose genomes have been sequenced. Recently, the genome of L. donovani was fully sequenced and the data became publicly available. We took advantage of the availability of its genomic sequence to carry out a more accurate proteogenomic analysis of L. donovani proteome using our previously generated dataset. This resulted in identification of 17,504 unique peptides upon database-dependent search against the annotated proteins in L. donovani. These peptides were assigned to 3999 unique proteins in L. donovani. 2296 proteins were identified in both the life stages of L. donovani, while 613 and 1090 proteins were identified only from amastigote and promastigote stages, respectively. The proteomic data was also searched against six-frame translated L. donovani genome, which led to 255 genome search-specific peptides (GSSPs) resulting in identification of 20 novel genes and correction of 40 existing gene models in L. donovani. BIOLOGICAL SIGNIFICANCE: Leishmania donovani genome sequencing was recently completed, which permitted us to use a proteogenomic approach to map its proteome and to carry out annotation of it genome. This resulted in mapping of 50% (3999 proteins) of L. donovani proteome. Our study identified 20 novel genes previously not predicted from the L. donovani genome in addition to correcting annotations of 40 existing gene models. The identified proteins may help in better understanding of stage-specific protein expression profiles in L. donovani and to identify novel stage-specific drug targets in L. donovani which could be used in the treatment of leishmaniasis. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.

Indexed as

Databases, ProteinGenes, ProtozoanHumansLeishmania donovaniLeishmaniasis, VisceralPeptidesProteomeProtozoan ProteinsPeptidesProteomeProtozoan ProteinsDigenic parasiteFalse discovery rateFDRGenome annotationGenome search specific peptidesGSSPsHCDHigh energy collision induced dissociationHigh resolution mass spectrometryIntracellular pathogenPeptide spectrum matchesPSM

Identifiers

PMID23665000
PMCPMC4710096
OpenAlexW2145859719

What OpenQuestion holds

Textmetadata
LicenceTDM
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.